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@ -7,30 +7,48 @@
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\usepackage{textpos}
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\usepackage{textpos}
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%{\includegraphics[width=\paperwidth,height=\paperheight,keepaspectratio]{./img/Mines_background1.pdf}}
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%{\includegraphics[width=\paperwidth,height=\paperheight,keepaspectratio]{./img/Mines_background1.pdf}}
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%----------------------------------------------------------------------------------------
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% TITLE PAGE
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%----------------------------------------------------------------------------------------
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\title[Locally Run Pigovian Taxes of Natural Resources]{Locally Run Pigovian Taxes of Natural Resources} % The short title appears at the bottom of every slide, the full title is only on the title page
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\subtitle{Hedonic Analysis of Groundwater Institutional Change in San Luis Valley, Colorado}
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\author[Alex Gebben] {Alexander Gebben}
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\institute[Colorado School of Mines] % Your institution as it will appear on the bottom of every slide, may be shorthand to save space
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{
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Department of Mineral And Energy Economics \\
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Colorado School of Mines
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\vskip 3pt
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}
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% \logo{\includegraphics[width=0.2\linewidth]{./img/Mines.jpg}}
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\date{\today} % Date, can be changed to a custom date
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%----------------------------------------------------------------------------------------
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%----------------------------------------------------------------------------------------
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% PRESENTATION SLIDES
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% PRESENTATION SLIDES
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%----------------------------------------------------------------------------------------
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%----------------------------------------------------------------------------------------
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\begin{document}
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\begin{document}
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%\input{./Sections/Intro.tex}
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\input{./Sections/Intro.tex}
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%\input{./Sections/Overview.tex}
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\input{./Sections/Overview.tex}
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%------------------------------------------------
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%------------------------------------------------
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\section{Introduction \& Overview}
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\section{Introduction \& Overview}
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\section{History}
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\section{History}
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\input{./Sections/SP_Letters.tex}
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\input{./Sections/SP_Letters.tex}
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%\input{./Sections/Reg_Disc.tex}
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\input{./Sections/Reg_Disc.tex}
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%\subsection{Key Events}
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%\subsection{Key Events}
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%\subsection{Subdistrict Formation}
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%\subsection{Subdistrict Formation}
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%\section{Econometric Strategy}
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\section{Econometric Strategy}
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%\section{Data}
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\section{Data}
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%\subsection{Challenges}
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\subsection{Challenges}
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%\subsection{Hedonic}
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\subsection{Hedonic}
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%\subsection{Micro Data}
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\subsection{Micro Data}
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%\section{Results}
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\section{Results}
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%\subsection{Response of Farms}
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\subsection{Response of Farms}
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\subsection{Farmland Value Changes}
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\subsection{Farmland Value Changes}
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%\input{./Sections/Fig_Micro_Reg.tex}
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\input{./Sections/Fig_Micro_Reg.tex}
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\input{./Sections/Bullets.tex}
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\input{./Sections/Bullets.tex}
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\input{./Sections/Highlight.tex}
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\input{./Sections/Highlight.tex}
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@ -1,9 +1,9 @@
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\begin{frame}[plain]{Regression Discontinuity}
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\begin{frame}[plain]{Regression Discontinuity}
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\begin{center}
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\begin{center}
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% \includegraphics[width=\textwidth,height=0.90\textheight,keepaspectratio]{./img/SP_Letter1_edit.pdf}
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\includegraphics[width=\textwidth,height=0.90\textheight,keepaspectratio]{./img/SP_Letter1_edit.pdf}
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\pause
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\pause
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% \includegraphics[width=\textwidth,height=0.90\textheight,keepaspectratio]{./img/SP_Letter2_edit.pdf}
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\includegraphics[width=\textwidth,height=0.90\textheight,keepaspectratio]{./img/SP_Letter2_edit.pdf}
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\end{center}
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\end{center}
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\end{frame}
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\end{frame}
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5045
Bitcoin/Hash/BCHAIN-HRATE.csv
Normal file
42
Bitcoin/Hash/R-analysis.r
Normal file
@ -0,0 +1,42 @@
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library(tidyverse)
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library(lubridate)
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library(tidyquant)
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library(stargazer)
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BTC <- tq_get("BTC-USD")
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hash <- read_csv("BCHAIN-HRATE.csv") %>% rename(date=Date,hash=Value)
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df <- hash %>% inner_join(BTC)
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df$hash_dif <- c(NA,diff(df$hash))
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df$hash_dif <- ifelse(df$hash_dif==0,0.0001,df$hash_dif)
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df <- df %>% mutate(p_dif = close-open)
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df$p <- (df$close+df$open)/2
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df$p_dif <- ifelse(df$p_dif==0,0.0001,df$p_dif)
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df$p_dif2 <- c(NA,diff(df$p))
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df$down <- ifelse(0>df$p_dif2,1,0)
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#lag_dis <- 30*12
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df <- df %>% arrange(date)
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lag_dis <- 30
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df$pw <- df$p-lag(df$p,lag_dis)
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df$pw <- ifelse(df$pw==0,0.0001,df$pw)
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df$down <- ifelse(df$pw<0,1,0)
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df$hw <- df$hash-lag(df$hash,lag_dis)
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df$hw <- ifelse(df$hw==0,0.0001,df$hw)
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library(lubridate)
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df$month <- as.factor((month.abb[month(df$date)]))
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df$year <- as.factor(year(df$date))
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model1 <- (lm(log(hw)~lag(hash,360)+year+month+log(pw),data=df))
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summary(model1)
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acf(model1$resid)
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pacf(model1$resid)
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model1 <- (lm(log(hw)~as.factor(year(date))+as.factor(month(date))+log(pw),data=df))
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summary(lm(hw~as.factor(year(date))+as.factor(month(date))+lag(hash,lag_dis)+log(pw),data=df))
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summary(lm(hash~as.factor(year(date))+as.factor(month(date))+(hash,lag_dis)+log(pw),data=df))
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stargazer
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summary(model1)
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rm(model1)
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model1 <- (lm(log(hw)~as.factor(year(date))+as.factor(month(date))+log(pw),data=filter(df,year(df$date)>2012)))
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summary(model1)
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pacf(model1$resid)
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acf(model1$resid)
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plot(model1$resid)
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3714
Bitcoin/Hash/bitcoin_2012-08-26_2022-10-26.csv
Normal file
@ -1,6 +1,6 @@
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%------------------------------------------------
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%------------------------------------------------
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\begin{frame}{Bitcoin Mining Rewards}
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\begin{frame}{Bitcoin Mining Rewards}
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Two sources of income for Bitcoin miners, a block reward and a user fee.
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Two sources of income for Bitcoin Miners, a Block Reward and a User Fee.
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\newline
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\newline
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\begin{center}
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\begin{center}
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\textbf{Constant Miner Reward}
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\textbf{Constant Miner Reward}
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@ -1,12 +1,16 @@
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%------------------------------------------------
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%------------------------------------------------
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\begin{frame}{Conclusion}
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\begin{frame}{Conclusion}
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Bitcoin miners are starting to use flared natural gas as an affordable source of electricity. This will have long run impact on the oil market.
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% The market for Bitcoin can create a new coproduct in oil production, acting like a subsidy. The revenue increase is sensitive to the price of bitcoin but is likely to persist even if the price of bitcoin drops.
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% There is spatial variation in the size of the subsidy to oil production. The effect is predicted to shift the location of wells generally north, to lower population and higher GOR states.
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% Bitcoin mining is starting to be used to increase the profits of oil wells in remote areas. States like Wyoming could see an increase in oil production of \(\approx 1.4\%\) Thethe U.S. has a lower average effect.
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Bitcoin miners are starting to use flared natural gas as an afforable source of electricity. This will have long run impact on the oil market.
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\begin{itemize}
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\begin{itemize}
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% \item{Bitcoin mining can become a coproduct to oil production}
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% \item{Bitcoin mining can become a coproduct to oil production}
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\item{The price of Bitcoin affects the price paid for the natural gas}
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\item{The price of Bitcoin affects the price paid for the natural gas}
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\item{A subsidy effect will persist even when Bitcoin prices are low}
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\item{A subisdy effect will persist even when Bitcoin prices are low}
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\item{The profitability depends on geology}
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\item{The profitability depends on geology}
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\item{Bitcoin mining will disproportionately affect states like Wyoming and North Dakota}
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\item{Bitcoin mining will disproportionately effect states like Wyoming, and North Dakota}
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\end{itemize}
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\end{itemize}
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\end{frame}
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\end{frame}
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@ -1,10 +0,0 @@
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\begin{frame}{Background}
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\textbf{The Conservation Reserve Enhancement Program aimed at Increasing fallowing the Rio Grande region by 40,000 Acres.}
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\begin{itemize}
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\item{Program formed in late 2013}
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\item{Eligibility based on water use from 2006-2013}
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\item{One time enrollment payment to retire land of \$200 per acre}
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\item{\$22 acre per year of 15 year lease}
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\item{\$66 per acre per year}
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\end{itemize}
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\end{frame}
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@ -1,9 +0,0 @@
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\begin{frame}{Data}
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\textbf{Available Data}
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\begin{itemize}
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\item{Enrollment timing}
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\item{Payment amount}
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\item{Neighbouring farms}
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\item{Historic crop choice}
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\end{itemize}
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\end{frame}
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@ -1,20 +0,0 @@
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\begin{frame}{Econometric Strategy}
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\textbf{Direct Counterfactual}
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\begin{equation*}
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W_{i,t}=CREP_{i,t}\cdot X_{t}+\alpha_{i}+\beta_{t}\cdot X_{t}+\epsilon_{t}
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\end{equation*}
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Where \(W_{i,t}\) is the water intensity in a given year (t) by parcel \(i\). \(\alpha_{i}\) is the parcel fixed effect. \(\beta_{t}\) captures time variant variables like run off volumes, growing season heating degree days, and prices.
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\newline
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\newline
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\textbf{Who enters the program}
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\begin{equation*}
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logit(I_{CREP})=\beta_{i}\cdot X_{i}
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\end{equation*}
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Where \(X_{i}\) are parcel attributes such as acreage, crop choice, and location.
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\end{frame}
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@ -1,8 +0,0 @@
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\begin{frame}{Key Questions}
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\textbf{How effective are CREP payments at reducing water use?}
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\begin{itemize}
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\item{Who enrolls?}
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\item{How much water is directly saved?}
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\item{Do neighboring farms increase water use?}
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\end{itemize}
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\end{frame}
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@ -1,6 +0,0 @@
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\begin{frame}[plain]{Chapter 3}
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\huge
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\begin{center}
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Efficiency of Fallowing Incentive Programs
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\end{center}
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\end{frame}
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@ -1,113 +0,0 @@
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%----------------------------------------------------------------------------------------
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% PACKAGES AND THEMES
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%----------------------------------------------------------------------------------------
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%\documentclass[aspectratio=169,xcolor=dvipsnames]{beamer} \usetheme{SimpleDarkBlue} \usepackage{hyperref}
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\documentclass[aspectratio=169,xcolor=table]{beamer} \usetheme{SimpleDarkBlue} \usepackage{hyperref}
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\usepackage{lscape}
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\usepackage{subcaption}
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\usepackage{dcolumn}
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\usepackage{adjustbox}
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\usepackage{graphicx}
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\usepackage{amsmath,amsfonts,amsthm,bm}
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\usepackage{float}
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\usepackage{threeparttable}
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\usepackage{threeparttablex} %For longtable interaction
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\usepackage{longtable}
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\usepackage{graphicx} % Allows including images
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\usepackage{chronology}
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\usepackage{adjustbox}
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\usepackage{framed}
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\usepackage{tikz}
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\usetikzlibrary{arrows,positioning,decorations.pathreplacing,shapes,shapes.geometric}
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\usepackage{inputenc}
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\usepackage{adjustbox}
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\usepackage{bm}
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\usepackage{amssymb}
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\usepackage{booktabs} % Allows the use of \toprule, \midrule and \bottomrule in tables
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\usepackage{textpos}
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\usepackage[table]{xcolor}
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%----------------------------------------------------------------------------------------
|
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% TITLE PAGE
|
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%----------------------------------------------------------------------------------------
|
|
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\title[Thesis Defense Proposal]{Thesis Defense Proposal} % The short title appears at the bottom of every slide, the full title is only on the title page
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|
|
||||||
\author[Alex Gebben] {Alexander Gebben}
|
|
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|
|
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\institute[Colorado School of Mines] % Your institution as it will appear on the bottom of every slide, may be shorthand to save space
|
|
||||||
{
|
|
||||||
Department of Mineral and Energy Economics \\
|
|
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Colorado School of Mines
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\vskip 3pt
|
|
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}
|
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|
|
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\date{December 6, 2022}
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% \date{\today} % Date, can be changed to a custom date
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|
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|
|
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%----------------------------------------------------------------------------------------
|
|
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% PRESENTATION SLIDES
|
|
||||||
%----------------------------------------------------------------------------------------
|
|
||||||
|
|
||||||
\begin{document}
|
|
||||||
%------------------------------------------------
|
|
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\input{./Sections/Intro.tex}
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\input{./Sections/Outline.tex}
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|
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\section{Hedonic}
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\input{RG_Sections/Start.tex}
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\subsection{Introduction}
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|
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\input{./RG_Sections/Question.tex}
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|
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\input{./RG_Sections/Backgound.tex}
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|
||||||
\input{./RG_Sections/Economic_Intrest.tex}
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|
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\input{./RG_Sections/Timeline.tex}
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|
||||||
\input{./RG_Sections/Legal_Concern.tex}
|
|
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\input{./RG_Sections/Reg_Disc.tex}
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|
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\subsection{Data}
|
|
||||||
\input{./RG_Sections/Data.tex}
|
|
||||||
\input{./RG_Sections/MapParcels.tex}
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|
||||||
\input{./RG_Sections/ParcelJoin.tex}
|
|
||||||
\subsection{Equations}
|
|
||||||
\input{RG_Sections/Equations.tex}
|
|
||||||
\subsection{Results}
|
|
||||||
\input{./RG_Sections/Results.tex}
|
|
||||||
\input{./RG_Sections/Conclusion.tex}
|
|
||||||
%----------------------------------
|
|
||||||
\section{CREP payments}
|
|
||||||
\input{./CREP_Sections/Start.tex}
|
|
||||||
\input{./CREP_Sections/Question.tex}
|
|
||||||
\input{./CREP_Sections/Background.tex}
|
|
||||||
\input{./CREP_Sections/Data.tex}
|
|
||||||
\input{./CREP_Sections/Econometric.tex}
|
|
||||||
%--------------------------
|
|
||||||
\section{Bitcoin}
|
|
||||||
\input{./Sections/Start.tex}
|
|
||||||
\subsection{Introduction \& Overview}
|
|
||||||
\input{./Sections/Key_Questions.tex}
|
|
||||||
\subsection{Background}
|
|
||||||
\input{./Sections/Background.tex}
|
|
||||||
\input{./Sections/Maps.tex}
|
|
||||||
\input{./Sections/Mechanism.tex}
|
|
||||||
\input{./Sections/Strategy.tex}
|
|
||||||
\input{./Sections/Data.tex}
|
|
||||||
\input{./Sections/Diagram.tex}
|
|
||||||
\subsection{Bitcoin Mining}
|
|
||||||
\input{./Sections/Bitcoin_Intro.tex}
|
|
||||||
\input{./Sections/Bitcoin_Incentives.tex}
|
|
||||||
\input{./Sections/Mining_Structure.tex}
|
|
||||||
\input{./Sections/Mining_Model.tex}
|
|
||||||
\input{./Sections/Mining_elast.tex}
|
|
||||||
%\input{./Sections/Reg_elas.tex}
|
|
||||||
\subsubsection{Oil Market}
|
|
||||||
\input{./Sections/Oil_Intro.tex}
|
|
||||||
\input{./Sections/Oil_Assumptions.tex}
|
|
||||||
\input{./Sections/Oil_Econometrics.tex}
|
|
||||||
\subsection{Results}
|
|
||||||
\input{./Sections/Results.tex}
|
|
||||||
\subsection{Conclusion}
|
|
||||||
\input{./Sections/Conclusion.tex}
|
|
||||||
\input{./Sections/Questions.tex}
|
|
||||||
\section{Bibliography}
|
|
||||||
\input{./Sections/bib.tex}
|
|
||||||
|
|
||||||
\end{document}
|
|
||||||
@ -1,11 +0,0 @@
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|||||||
State,Flaring
|
|
||||||
Alaska,55219
|
|
||||||
California,1506
|
|
||||||
Colorado,22787
|
|
||||||
Louisiana,37907
|
|
||||||
Montana,29822
|
|
||||||
New_Mexico,200339
|
|
||||||
North_Dakota,924350
|
|
||||||
Texas,1242937
|
|
||||||
Utah,2078
|
|
||||||
Wyoming,148226
|
|
||||||
|
@ -1,15 +0,0 @@
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|||||||
library(tidyverse)
|
|
||||||
library(readxl)
|
|
||||||
library(lubridate)
|
|
||||||
df <- read_excel("NG_PROD_SUM_A_EPG0_VGV_MMCF_A.xls",sheet=2,col_names=T,skip=2)
|
|
||||||
colnames(df) <-c("Date","National","Alaska","Alaska_onshore","Alaska_State","Arkansas","California","Calif_onshore","California_State","Federal_Offshore_Calif","Colorado","Offshore_Gulf_of_Mexico","Kansas","Louisiana","Louisiana_onshore","Louisiana_State","Montana","New_Mexico","North_Dakota","Ohio","Oklahoma","Pennsylvania","Texas","Texas_onshore","Texas_State_Offshore","Utah","West_Virginia","Wyoming")
|
|
||||||
df$Year <- year(df$Date)
|
|
||||||
df <- df %>% filter(Year>2013) %>% summarize(Alaska=sum(Alaska,na.rm=TRUE),Arkansas=sum(Arkansas,na.rm=TRUE),California=sum(California,na.rm=TRUE),Colorado=sum(Colorado,na.rm=TRUE),Kansas=sum(Kansas,na.rm=TRUE),Louisiana=sum(Louisiana,na.rm=TRUE),Montana=sum(Montana,na.rm=TRUE),New_Mexico=sum(New_Mexico,na.rm=TRUE),North_Dakota=sum(North_Dakota,na.rm=TRUE),Ohio=sum(Ohio,na.rm=TRUE),Oklahoma=sum(Oklahoma,na.rm=TRUE),Pennsylvania=sum(Pennsylvania,na.rm=TRUE),Texas=sum(Texas,na.rm=TRUE),Utah=sum(Utah,na.rm=TRUE),West_Virginia=sum(West_Virginia,na.rm=TRUE),Wyoming=sum(Wyoming,na.rm=TRUE))
|
|
||||||
temp1 <- colnames(df)
|
|
||||||
temp2 <- df %>% as.data.frame %>% t %>% c
|
|
||||||
graph_dat <- cbind(temp1,temp2)
|
|
||||||
colnames(graph_dat) <- c("State","Flaring")
|
|
||||||
graph_dat <- graph_dat %>% as_tibble %>% mutate(Flaring=as.numeric(Flaring)) %>% filter(Flaring>0)
|
|
||||||
#ggplot(data=graph_dat,aes(x="",y=Flaring,fill=State)) + geom_bar(stat="identity",width=1)+coord_polar("y",start=0)
|
|
||||||
ggplot(data=graph_dat,aes(x="",y=Flaring,fill=State))+geom_col(color="black") +coord_polar(theta="y")
|
|
||||||
|
|
||||||
|
Before Width: | Height: | Size: 539 KiB |
@ -1,32 +0,0 @@
|
|||||||
library(tidyverse)
|
|
||||||
library(readxl)
|
|
||||||
library(ggthemes)
|
|
||||||
library(lubridate)
|
|
||||||
#devtools::install_github("Mikata-Project/ggthemr")
|
|
||||||
#library(ggthemr)
|
|
||||||
df <- read_excel("NG_PROD_SUM_A_EPG0_VGV_MMCF_A.xls",sheet=2,col_names=T,skip=2)
|
|
||||||
colnames(df) <-c("Date","National","Alaska","Alaska_onshore","Alaska_State","Arkansas","California","Calif_onshore","California_State","Federal_Offshore_Calif","Colorado","Offshore_Gulf_of_Mexico","Kansas","Louisiana","Louisiana_onshore","Louisiana_State","Montana","New_Mexico","North_Dakota","Ohio","Oklahoma","Pennsylvania","Texas","Texas_onshore","Texas_State_Offshore","Utah","West_Virginia","Wyoming")
|
|
||||||
df$Year <- year(df$Date)
|
|
||||||
Alaska <- df %>% mutate(State="Alaska",volume=Alaska/National) %>% select(Year,State,volume)
|
|
||||||
Arkansas <- df %>% mutate(State="Arkansas",volume=Arkansas/National) %>% select(Year,State,volume)
|
|
||||||
California <- df %>% mutate(State="California",volume=California/National) %>% select(Year,State,volume)
|
|
||||||
Colorado <- df %>% mutate(State="Colorado",volume=Colorado/National) %>% select(Year,State,volume)
|
|
||||||
Kansas <- df %>% mutate(State="Kansas",volume=Kansas/National) %>% select(Year,State,volume)
|
|
||||||
Louisiana <- df %>% mutate(State="Louisiana",volume=Louisiana/National) %>% select(Year,State,volume)
|
|
||||||
Montana <- df %>% mutate(State="Montana",volume=Montana/National) %>% select(Year,State,volume)
|
|
||||||
New_Mexico <- df %>% mutate(State="New Mexico",volume=New_Mexico/National) %>% select(Year,State,volume)
|
|
||||||
North_Dakota <- df %>% mutate(State="North Dakota",volume=North_Dakota/National) %>% select(Year,State,volume)
|
|
||||||
Ohio <- df %>% mutate(State="Ohio",volume=Ohio/National) %>% select(Year,State,volume)
|
|
||||||
Oklahoma <- df %>% mutate(State="Oklahoma",volume=Oklahoma/National) %>% select(Year,State,volume)
|
|
||||||
Pennsylvania <- df %>% mutate(State="Pennsylvania",volume=Pennsylvania/National) %>% select(Year,State,volume)
|
|
||||||
Texas <- df %>% mutate(State="Texas",volume=Texas/National) %>% select(Year,State,volume)
|
|
||||||
Utah <- df %>% mutate(State="Utah",volume=Utah/National) %>% select(Year,State,volume)
|
|
||||||
West_Virginia <- df %>% mutate(State="West Virginia",volume=West_Virginia/National) %>% select(Year,State,volume)
|
|
||||||
Wyoming <- df %>% mutate(State="Wyoming",volume=Wyoming/National) %>% select(Year,State,volume)
|
|
||||||
######
|
|
||||||
df <- rbind(Alaska,Arkansas,California,Colorado,Kansas,Louisiana,Montana,New_Mexico,North_Dakota,Ohio,Oklahoma,Pennsylvania,Texas,Utah,West_Virginia,Wyoming) %>% filter(!is.na(volume))
|
|
||||||
Other <- df %>% group_by(Year) %>% summarize(State="Other",volume=1-sum(volume,na.rm=TRUE))
|
|
||||||
graph_dat <- full_join(Other,df)
|
|
||||||
graph_dat$volume <- 100*graph_dat$volume
|
|
||||||
stacked <- ggplot(data=graph_dat,aes(x=Year,y=volume,fill=State)) + geom_area(postion='stacked') + scale_x_continuous(n.breaks = 10)+ylab(NULL)
|
|
||||||
ggsave(stacked,file="flared.jpeg")
|
|
||||||
@ -1,19 +0,0 @@
|
|||||||
\begin{frame}{Background}
|
|
||||||
\textbf{San Luis Valley}
|
|
||||||
\begin{itemize}
|
|
||||||
\item{Agricultural economy in Southern Colorado}
|
|
||||||
\item{Use of surface water from Rio Grande river}
|
|
||||||
\item{Part of Rio Grande Conservation Water District}
|
|
||||||
\item{Rio Grande, Saguache, Alamosa counties}
|
|
||||||
\item{Drought and legal threat in 2002}
|
|
||||||
\item{Subdistrict 1 formed in 2006}
|
|
||||||
\end{itemize}
|
|
||||||
\textbf{Legal}
|
|
||||||
\begin{itemize}
|
|
||||||
\item{Prior Appropriation}
|
|
||||||
\item{Complex ground water law}
|
|
||||||
\item{Conservation districts}
|
|
||||||
\item{Subdistricts}
|
|
||||||
\end{itemize}
|
|
||||||
|
|
||||||
\end{frame}
|
|
||||||
@ -1,11 +0,0 @@
|
|||||||
%------------------------------------------------
|
|
||||||
|
|
||||||
\begin{frame}{Bullet Points}
|
|
||||||
\begin{itemize}
|
|
||||||
\item Lorem ipsum dolor sit amet, consectetur adipiscing elit
|
|
||||||
\item Aliquam blandit faucibus nisi, sit amet dapibus enim tempus eu
|
|
||||||
\item Nulla commodo, erat quis gravida posuere, elit lacus lobortis est, quis porttitor odio mauris at libero
|
|
||||||
\item Nam cursus est eget velit posuere pellentesque
|
|
||||||
\item Vestibulum faucibus velit a augue condimentum quis convallis nulla gravida
|
|
||||||
\end{itemize}
|
|
||||||
\end{frame}
|
|
||||||
@ -1,19 +0,0 @@
|
|||||||
%------------------------------------------------
|
|
||||||
|
|
||||||
\begin{frame}{Multiple Columns}
|
|
||||||
\begin{columns}[c] % The "c" option specifies centered vertical alignment while the "t" option is used for top vertical alignment
|
|
||||||
|
|
||||||
\column{.45\textwidth} % Left column and width
|
|
||||||
\textbf{Heading}
|
|
||||||
\begin{enumerate}
|
|
||||||
\item Statement
|
|
||||||
\item Explanation
|
|
||||||
\item Example
|
|
||||||
\end{enumerate}
|
|
||||||
|
|
||||||
\column{.5\textwidth} % Right column and width
|
|
||||||
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Integer lectus nisl, ultricies in feugiat rutrum, porttitor sit amet augue. Aliquam ut tortor mauris. Sed volutpat ante purus, quis accumsan dolor.
|
|
||||||
|
|
||||||
\end{columns}
|
|
||||||
\end{frame}
|
|
||||||
|
|
||||||
@ -1,10 +0,0 @@
|
|||||||
%------------------------------------------------
|
|
||||||
|
|
||||||
\begin{frame}{Conclusion}
|
|
||||||
\textbf{Evidence of ground water institutional change affecting profits:}
|
|
||||||
\begin{itemize}
|
|
||||||
\item{Collective action spurred by legal threats in 2002}
|
|
||||||
\item{Self governance changed expectations of profits in 2006}
|
|
||||||
\item{Policy under performed in practice}
|
|
||||||
\end{itemize}
|
|
||||||
\end{frame}
|
|
||||||
@ -1,11 +0,0 @@
|
|||||||
\begin{frame}{Data Needed}
|
|
||||||
\textbf{Three counties with treated parcels}
|
|
||||||
\begin{enumerate}
|
|
||||||
\item{Legal parcel locations}
|
|
||||||
\item{Records of sales}
|
|
||||||
\item{Crop use history}
|
|
||||||
\item{Water access}
|
|
||||||
\item{Irrigation history}
|
|
||||||
\end{enumerate}
|
|
||||||
|
|
||||||
\end{frame}
|
|
||||||
@ -1,10 +0,0 @@
|
|||||||
\begin{frame}{Economic Considerations}
|
|
||||||
\begin{center}
|
|
||||||
\begin{enumerate}
|
|
||||||
\item{Self-governance}
|
|
||||||
\item{Institutional economics}
|
|
||||||
\item{Market restrictions}
|
|
||||||
\item{Externalities}
|
|
||||||
\end{enumerate}
|
|
||||||
\end{center}
|
|
||||||
\end{frame}
|
|
||||||
@ -1,6 +0,0 @@
|
|||||||
%------------------------------------------------
|
|
||||||
|
|
||||||
\begin{frame}
|
|
||||||
\Huge{\centerline{The End}}
|
|
||||||
\end{frame}
|
|
||||||
|
|
||||||
@ -1,13 +0,0 @@
|
|||||||
\begin{frame}{Econometric Model}
|
|
||||||
\begin{equation}\label{SimpleRegModel}
|
|
||||||
Price_{i,t}=\theta_{s(t)}\cdot Sbd1_{i}+\tau_{t}+\beta_{i,t}\cdot X_{i,t}+\epsilon_{i,t}
|
|
||||||
\end{equation}
|
|
||||||
|
|
||||||
Where \(Price_{i,t}\) is the sale price of parcels \( i \in I \) across time periods \( t \in T \). \(Sbd1_{i}\) is a dummy variable indicating that a parcel is in Subdistrict 1. \(\theta_{s(t)}\) are the policy fixed effects of interest. \(\tau_t\) is a time period fixed effect, and \(X_{i,t}\) controls an array of variables that influence the market price of farms.
|
|
||||||
|
|
||||||
\begin{equation}\label{SimpleFixedModel}
|
|
||||||
Price_{i,t}=\theta_{s(t)}\cdot Sbd1_{i}+\tau_{t}+\alpha_{i}+\beta_{i,t}\cdot X_{i,t}+\epsilon_{i,t}
|
|
||||||
\end{equation}
|
|
||||||
This model pulls out time invariant attributes of parcels into \(\alpha_{i}\), for each parcel with repeat sales the omitted time invariant effects are captured by this term\footnote{The need to have multiple sales across the shocks limits the dataset, so equation \eqref{SimpleFixedModel} is only applied to regressions over the entire time series.}.
|
|
||||||
|
|
||||||
\end{frame}
|
|
||||||
@ -1,6 +0,0 @@
|
|||||||
\begin{frame}[plain]{Micro Data Regression}
|
|
||||||
\begin{center}
|
|
||||||
\includegraphics[width=\textwidth,height=0.90\textheight,keepaspectratio]{./Micro/Micro_regression.pdf}
|
|
||||||
\end{center}
|
|
||||||
\end{frame}
|
|
||||||
|
|
||||||
@ -1,8 +0,0 @@
|
|||||||
%------------------------------------------------
|
|
||||||
\begin{frame}{Figure}
|
|
||||||
Uncomment the code on this slide to include your own image from the same directory as the template .TeX file.
|
|
||||||
%\begin{figure}
|
|
||||||
%\includegraphics[width=0.8\linewidth]{test}
|
|
||||||
%\end{figure}
|
|
||||||
\end{frame}
|
|
||||||
|
|
||||||
@ -1,8 +0,0 @@
|
|||||||
%------------------------------------------------
|
|
||||||
|
|
||||||
\begin{frame}[fragile] % Need to use the fragile option when verbatim is used in the slide
|
|
||||||
\frametitle{Citation}
|
|
||||||
An example of the \verb|\cite| command to cite within the presentation:\\~
|
|
||||||
|
|
||||||
This statement requires citation \cite{p1}.
|
|
||||||
\end{frame}
|
|
||||||
@ -1,17 +0,0 @@
|
|||||||
%------------------------------------------------
|
|
||||||
|
|
||||||
\begin{frame}{Blocks of Highlighted Text}
|
|
||||||
In this slide, some important text will be \alert{highlighted} because it's important. Please, don't abuse it.
|
|
||||||
|
|
||||||
\begin{block}{Block}
|
|
||||||
Sample text
|
|
||||||
\end{block}
|
|
||||||
|
|
||||||
\begin{alertblock}{Alertblock}
|
|
||||||
Sample text in red box
|
|
||||||
\end{alertblock}
|
|
||||||
|
|
||||||
\begin{examples}
|
|
||||||
Sample text in green box. The title of the block is ``Examples".
|
|
||||||
\end{examples}
|
|
||||||
\end{frame}
|
|
||||||
@ -1,8 +0,0 @@
|
|||||||
\begin{frame}[plain]
|
|
||||||
% Print the title page as the first slide
|
|
||||||
\titlepage
|
|
||||||
\begin{center}
|
|
||||||
{\includegraphics[height=1cm]{./img/Mines.jpg}}
|
|
||||||
{\includegraphics[height=1cm]{./img/usda-logo-color.png}}
|
|
||||||
\end{center}
|
|
||||||
\end{frame}
|
|
||||||
@ -1,6 +0,0 @@
|
|||||||
\begin{frame}[plain]{Legal Threat in 2002}
|
|
||||||
\begin{figure}[!ht]
|
|
||||||
\centering
|
|
||||||
\fbox{ \includegraphics[width=\textwidth,height=0.85\textheight,keepaspectratio]{./RG_img/SP_communication3.pdf}}
|
|
||||||
\end{figure}
|
|
||||||
\end{frame}
|
|
||||||
@ -1,6 +0,0 @@
|
|||||||
\begin{frame}[plain]{Crop \& Legal Parcels in 2009}
|
|
||||||
\begin{figure}[!ht]
|
|
||||||
\centering
|
|
||||||
\fbox{ \includegraphics[width=\textwidth,height=0.85\textheight,keepaspectratio]{./RG_img/SLV_Map.png}}
|
|
||||||
\end{figure}
|
|
||||||
\end{frame}
|
|
||||||
@ -1,17 +0,0 @@
|
|||||||
\begin{frame}{Joining Parcels}
|
|
||||||
\begin{figure}[!h]
|
|
||||||
\label{compare}
|
|
||||||
\centering
|
|
||||||
\begin{subfigure}[b]{0.4\textwidth}
|
|
||||||
\includegraphics[width=\textwidth]{./RG_img/pre_proc.png}
|
|
||||||
\caption{Crop Parcels and Legal Parcels}
|
|
||||||
\label{pre}
|
|
||||||
\end{subfigure}
|
|
||||||
%
|
|
||||||
\begin{subfigure}[b]{0.4\textwidth}
|
|
||||||
\includegraphics[width=\textwidth]{./RG_img/post_proc.png}
|
|
||||||
\caption{Intersection of Parcels}
|
|
||||||
\label{post}
|
|
||||||
\end{subfigure}
|
|
||||||
\end{figure}
|
|
||||||
\end{frame}
|
|
||||||
@ -1,6 +0,0 @@
|
|||||||
\begin{frame}{Key Questions}
|
|
||||||
% Throughout your presentation, if you choose to use \section{} and \subsection{} commands, these will automatically be printed on this slide as an overview of your presentation
|
|
||||||
\bf{What are the welfare changes faced by farmers, under groundwater institutional change?
|
|
||||||
}
|
|
||||||
\end{frame}
|
|
||||||
|
|
||||||
@ -1,6 +0,0 @@
|
|||||||
\begin{frame}{Evidence of Affected Land Prices}
|
|
||||||
\begin{center}
|
|
||||||
\includegraphics[width=\textwidth,height=0.89\textheight,keepaspectratio]{./RG_img/CHANGE_Disc.png}
|
|
||||||
\end{center}
|
|
||||||
\end{frame}
|
|
||||||
|
|
||||||
@ -1,58 +0,0 @@
|
|||||||
\begin{frame}[plain]{Difference-in-Difference Results}
|
|
||||||
\tiny
|
|
||||||
\begin{table}[!htbp] \centering
|
|
||||||
% \caption{Difference-in-Difference All Models}
|
|
||||||
\label{T-mainreg}
|
|
||||||
\scalebox{0.75}{
|
|
||||||
\begin{threeparttable}
|
|
||||||
\begin{tabular}{@{\extracolsep{5pt}}lccccc}
|
|
||||||
\\[-1.8ex]\hline
|
|
||||||
\hline \\[-1.8ex]
|
|
||||||
\\[-1.8ex] & \multicolumn{5}{c}{Real Sale Price log(\$)} \\
|
|
||||||
& All Parcels & Under 80 Ares & Over 80 Acres & Fixed Effect & Fixed Effect IPTW \\
|
|
||||||
\\[-1.8ex] & (1) & (2) & (3) & (4) & (5)\\
|
|
||||||
\hline \\[-1.8ex]
|
|
||||||
\bf{Subd1 x Post 2002} & $-$0.945$^{***}$ & $-$0.764$^{**}$ & $-$1.215$^{***}$ & $-$0.318 & $-$0.761$^{**}$ \\
|
|
||||||
& (0.273) & (0.387) & (0.375) & (0.365) & (0.361) \\
|
|
||||||
& & & & & \\
|
|
||||||
\bf{Subd1 x Post 2006} & 0.666$^{**}$ & 1.322$^{***}$ & 0.121 & 0.637 & 0.830$^{**}$ \\
|
|
||||||
& (0.331) & (0.455) & (0.477) & (0.410) & (0.402) \\
|
|
||||||
& & & & & \\
|
|
||||||
\bf{Subd1 x Post 2011} & $-$0.127 & $-$0.513 & 0.509 & $-$0.423 & $-$0.642$^{*}$ \\
|
|
||||||
& (0.296) & (0.385) & (0.437) & (0.354) & (0.342) \\
|
|
||||||
& & & & & \\
|
|
||||||
Subdistrict 1 & 0.273 & $-$0.537$^{**}$ & 0.168 & & \\
|
|
||||||
& (0.211) & (0.263) & (0.355) & & \\
|
|
||||||
& & & & & \\
|
|
||||||
Surface Ind. & 0.367 & 0.746$^{**}$ & $-$0.494 & & \\
|
|
||||||
& (0.271) & (0.372) & (0.637) & & \\
|
|
||||||
& & & & & \\
|
|
||||||
Ground Ind. & $-$0.205 & 0.486 & $-$1.618$^{***}$ & & \\
|
|
||||||
& (0.256) & (0.301) & (0.626) & & \\
|
|
||||||
& & & & & \\
|
|
||||||
Area (log) & 0.494$^{***}$ & 0.296$^{***}$ & 0.488$^{***}$ & & \\
|
|
||||||
& (0.040) & (0.074) & (0.137) & & \\
|
|
||||||
& & & & & \\
|
|
||||||
Structure Value (log) & 0.025$^{***}$ & 0.034$^{***}$ & 0.006 & & \\
|
|
||||||
& (0.004) & (0.005) & (0.005) & & \\
|
|
||||||
& & & & & \\
|
|
||||||
Observations & 1,363 & 639 & 738 & 746 & 746 \\
|
|
||||||
R$^{2}$ & 0.249 & 0.218 & 0.251 & 0.781 & 0.825 \\
|
|
||||||
Adjusted R$^{2}$ & 0.217 & 0.143 & 0.190 & 0.596 & 0.678 \\
|
|
||||||
Residual Std. Error & 1.614 & 1.486 & 1.603 & 1.098 & 1.392 \\
|
|
||||||
& (df = 1306) & (df = 582) & (df = 681) & (df = 405) & (df = 405) \\
|
|
||||||
F Statistic & 7.723$^{***}$ & 2.905$^{***}$ & 4.080$^{***}$ & 4.238$^{***}$ & 5.606$^{***}$ \\
|
|
||||||
& (df = 56; 1306) & (df = 56; 582) & (df = 56; 681) & (df = 340; 405) & (df = 340; 405) \\
|
|
||||||
\hline \\[-1.8ex]
|
|
||||||
\end{tabular}
|
|
||||||
\vspace{1ex}
|
|
||||||
\begin{tablenotes}
|
|
||||||
\item{\emph{Note:} $^{***}$Significant at the 1 percent level, $^{**}$5 percent level, $^{*}$ 10 percent level. }
|
|
||||||
\item{All shock indicators remain on. For example Post 2002 is one in 2013}
|
|
||||||
\item{Year surface water interactions ommit}
|
|
||||||
\end{tablenotes}
|
|
||||||
\end{threeparttable}
|
|
||||||
}
|
|
||||||
\end{table}
|
|
||||||
\end{frame}
|
|
||||||
|
|
||||||
@ -1,9 +0,0 @@
|
|||||||
\begin{frame}[plain]{Regression Discontinuity}
|
|
||||||
\begin{center}
|
|
||||||
% \includegraphics[width=\textwidth,height=0.90\textheight,keepaspectratio]{./img/SP_Letter1_edit.pdf}
|
|
||||||
|
|
||||||
\pause
|
|
||||||
% \includegraphics[width=\textwidth,height=0.90\textheight,keepaspectratio]{./img/SP_Letter2_edit.pdf}
|
|
||||||
\end{center}
|
|
||||||
\end{frame}
|
|
||||||
|
|
||||||
@ -1,6 +0,0 @@
|
|||||||
\begin{frame}[plain]{Chapter 1}
|
|
||||||
\huge
|
|
||||||
\begin{center}
|
|
||||||
Hedonic Analysis of Groundwater Institutional Changes in South Platte, CO
|
|
||||||
\end{center}
|
|
||||||
\end{frame}
|
|
||||||
@ -1,17 +0,0 @@
|
|||||||
%------------------------------------------------
|
|
||||||
|
|
||||||
\begin{frame}{Table}
|
|
||||||
\begin{table}
|
|
||||||
\begin{tabular}{l l l}
|
|
||||||
\toprule
|
|
||||||
\textbf{Treatments} & \textbf{Response 1} & \textbf{Response 2} \\
|
|
||||||
\midrule
|
|
||||||
Treatment 1 & 0.0003262 & 0.562 \\
|
|
||||||
Treatment 2 & 0.0015681 & 0.910 \\
|
|
||||||
Treatment 3 & 0.0009271 & 0.296 \\
|
|
||||||
\bottomrule
|
|
||||||
\end{tabular}
|
|
||||||
\caption{Table caption}
|
|
||||||
\end{table}
|
|
||||||
\end{frame}
|
|
||||||
|
|
||||||
@ -1,8 +0,0 @@
|
|||||||
%------------------------------------------------
|
|
||||||
\begin{frame}{Theorem}
|
|
||||||
\begin{theorem}[Mass--energy equivalence]
|
|
||||||
$E = mc^2$
|
|
||||||
\end{theorem}
|
|
||||||
\end{frame}
|
|
||||||
|
|
||||||
|
|
||||||
@ -1,26 +0,0 @@
|
|||||||
\begin{frame}{Rio Grande History}
|
|
||||||
\begin{center}
|
|
||||||
\footnotesize
|
|
||||||
\begin{chronology}[8]{1930}{2016}{90ex}[\textwidth]
|
|
||||||
\event[2001]{2005}{Drought}
|
|
||||||
\event[1950]{1956}{Drought}
|
|
||||||
\event[1930]{1939}{Drought}
|
|
||||||
\end{chronology}
|
|
||||||
|
|
||||||
\begin{chronology}[8]{1930}{2016}{90ex}[\textwidth]
|
|
||||||
\event{1938}{Rio Grande Compact}
|
|
||||||
\event{1966}{Compact Violation}
|
|
||||||
\event[1970]{1980}{GW Legal}
|
|
||||||
\event{2002}{State Engineer}
|
|
||||||
\event{2007}{Wells Shut In}
|
|
||||||
\end{chronology}
|
|
||||||
|
|
||||||
\begin{chronology}[8]{1930}{2016}{90ex}[\textwidth]
|
|
||||||
\event[1931]{1940}{2000 Wells}
|
|
||||||
\event{1967}{RGWCD}
|
|
||||||
\event{1974}{Exemption}
|
|
||||||
\event{2006}{Subdistrict 1}
|
|
||||||
\event{2011}{Fees Imposed}
|
|
||||||
\end{chronology}
|
|
||||||
\end{center}
|
|
||||||
\end{frame}
|
|
||||||
@ -1,13 +0,0 @@
|
|||||||
%------------------------------------------------
|
|
||||||
|
|
||||||
\begin{frame}{References}
|
|
||||||
% Beamer does not support BibTeX so references must be inserted manually as below
|
|
||||||
\footnotesize{
|
|
||||||
\begin{thebibliography}{99}
|
|
||||||
\bibitem[Smith, 2012]{p1} John Smith (2012)
|
|
||||||
\newblock Title of the publication
|
|
||||||
\newblock \emph{Journal Name} 12(3), 45 -- 678.
|
|
||||||
\end{thebibliography}
|
|
||||||
}
|
|
||||||
\end{frame}
|
|
||||||
|
|
||||||
@ -1,31 +0,0 @@
|
|||||||
% Table created by stargazer v.5.2.2 by Marek Hlavac, Harvard University. E-mail: hlavac at fas.harvard.edu
|
|
||||||
% Date and time: Tue, Apr 27, 2021 - 05:20:00 PM
|
|
||||||
\begin{table}[H] \centering
|
|
||||||
\caption{Matched Pretreatment Unit Comparison}
|
|
||||||
\label{MATCHCOMP}
|
|
||||||
\begin{tabular}{@{\extracolsep{5pt}} cccc}
|
|
||||||
\\[-1.8ex]\hline
|
|
||||||
\hline \\[-1.8ex]
|
|
||||||
& Control & Matched Control & Subdistrict 1 \\
|
|
||||||
\hline \\[-1.8ex]
|
|
||||||
Number of Parcels & 1071 & 450 & 450 \\
|
|
||||||
Number of Sales & 1781 & 766 & 871 \\
|
|
||||||
Total Area (acres) & 119432 & 49520 & 53831 \\
|
|
||||||
Med. Area (acres) & 112 & 110 & 120 \\
|
|
||||||
Med. First Sale Date & 2000 & 2001 & 1995 \\
|
|
||||||
Med. Crop Cover & 70\% & 67\% & 74\% \\
|
|
||||||
Ground Water & 31\% & 69\% & 98\% \\
|
|
||||||
Surface Water & 94\% & 86\% & 85\% \\
|
|
||||||
With Wells & 11\% & 26\% & 78\% \\
|
|
||||||
Sprinkler & 14\% & 32\% & 90\% \\
|
|
||||||
Flood & 66\% & 49\% & 3\% \\
|
|
||||||
Fallow & 14\% & 21\% & 6\% \\
|
|
||||||
Alfalfa & 28\% & 49\% & 26\% \\
|
|
||||||
Small Grains & 6\% & 13\% & 31\% \\
|
|
||||||
Pasture & 60\% & 24\% & 4\% \\
|
|
||||||
Potatoes & 0.3\% & 0.8\% & 33.4\% \\
|
|
||||||
Other & 0.3\% & 0.7\% & 6.1\% \\
|
|
||||||
\hline \\[-1.8ex]
|
|
||||||
\end{tabular}
|
|
||||||
\end{table}
|
|
||||||
|
|
||||||
@ -1,28 +0,0 @@
|
|||||||
% Table created by stargazer v.5.2.2 by Marek Hlavac, Harvard University. E-mail: hlavac at fas.harvard.edu
|
|
||||||
% Date and time: Mon, Apr 26, 2021 - 06:17:00 PM
|
|
||||||
\begin{table}[!htbp] \centering
|
|
||||||
\caption{Parcel Summary Statistics}
|
|
||||||
\label{CRPSUM}
|
|
||||||
\begin{tabular}{@{\extracolsep{5pt}} ccc}
|
|
||||||
\\[-1.8ex]\hline
|
|
||||||
\hline \\[-1.8ex]
|
|
||||||
& Control & Subdistrict 1 \\
|
|
||||||
\hline \\[-1.8ex]
|
|
||||||
Mean Crop Cover & 70\% & 74\% \\
|
|
||||||
Ground Water & 31\% & 98\% \\
|
|
||||||
Surface Water & 94\% & 85\% \\
|
|
||||||
With Wells & 11\% & 78\% \\
|
|
||||||
Sprinkler & 14\% & 90\% \\
|
|
||||||
Flood & 66\% & 3\% \\
|
|
||||||
Fallow & 14\% & 6\% \\
|
|
||||||
Alfalfa & 28\% & 26\% \\
|
|
||||||
Small Grains & 6\% & 31\% \\
|
|
||||||
Pasture & 60\% & 4\% \\
|
|
||||||
Potato & 0.3\% & 33.4\% \\
|
|
||||||
Other & 0.3\% & 6.1\% \\
|
|
||||||
\hline \\[-1.8ex]
|
|
||||||
\multicolumn{1}{c}\textit{Note: All crop data taken from 2002 and 2005}\\
|
|
||||||
\hline \\[-1.8ex]
|
|
||||||
\end{tabular}
|
|
||||||
\end{table}
|
|
||||||
|
|
||||||
@ -1,26 +0,0 @@
|
|||||||
\begin{table}[H] \centering
|
|
||||||
\caption{Pretreatment Attributes of Subdistrict 1 Parcels Sold After 2006}
|
|
||||||
\label{SBDCOMPSOLD}
|
|
||||||
\begin{tabular}{@{\extracolsep{5pt}} ccc}
|
|
||||||
\\[-1.8ex]\hline
|
|
||||||
\hline \\[-1.8ex]
|
|
||||||
& Unsold & Sold \\
|
|
||||||
\hline \\[-1.8ex]
|
|
||||||
Number of Parcels & 254 & 196 \\
|
|
||||||
Area (acres) & 134 & 101 \\
|
|
||||||
Max Crop Cover & 75\% & 73\% \\
|
|
||||||
Ground Water & 98\% & 97\% \\
|
|
||||||
Surface Water & 86\% & 85\% \\
|
|
||||||
With Wells & 81\% & 73\% \\
|
|
||||||
Sprinkler & 92\% & 87\% \\
|
|
||||||
Flood & 3\% & 3\% \\
|
|
||||||
Fallow & 6\% & 6\% \\
|
|
||||||
Alfalfa & 25\% & 27\% \\
|
|
||||||
Small Grains & 29\% & 32\% \\
|
|
||||||
Pasture & 4\% & 3\% \\
|
|
||||||
Potato & 35.1\% & 31.1\% \\
|
|
||||||
Other & 6.6\% & 5.5\% \\
|
|
||||||
\hline \\[-1.8ex]
|
|
||||||
\end{tabular}
|
|
||||||
\end{table}
|
|
||||||
|
|
||||||
@ -1,71 +0,0 @@
|
|||||||
\begingroup
|
|
||||||
\renewcommand{\arraystretch}{0.4}
|
|
||||||
\begin{table}[!htbp] \centering
|
|
||||||
\caption{Model Comparison}
|
|
||||||
\label{results}
|
|
||||||
\begin{tabular}{@{\extracolsep{2pt}}lD{.}{.}{-3} D{.}{.}{-3} D{.}{.}{-3} }
|
|
||||||
\\[-1.8ex]\hline
|
|
||||||
\hline \\[-1.8ex]
|
|
||||||
& & & \\
|
|
||||||
& \multicolumn{3}{c}{\textit{Dependent variable:}} \\
|
|
||||||
\cline{2-4}
|
|
||||||
& & & \\
|
|
||||||
\\[-1.8ex] & \multicolumn{3}{c}{Sale Price log(\$)} \\
|
|
||||||
& & & \\
|
|
||||||
\\[-1.8ex] & \multicolumn{2}{c}{\textbf{Matched}} & \multicolumn{1}{c}{\textbf{Fixed Effect}} \\
|
|
||||||
& & & \\
|
|
||||||
\\[-1.8ex] & \multicolumn{1}{c}{(All Parcels)} & \multicolumn{1}{c}{(80 Acres or less)} & \multicolumn{1}{c}{(All Parcels)}\\
|
|
||||||
\hline \\[-1.8ex]
|
|
||||||
& & & \\
|
|
||||||
Subd1:Post 2002 & -0.943^{***} & -0.785^{**} & -0.761^{**} \\
|
|
||||||
& (0.273) & (0.389) & (0.361) \\
|
|
||||||
& & & \\
|
|
||||||
Subd1:Post 2006 & 0.667^{**} & 1.347^{***} & 0.830^{**} \\
|
|
||||||
& (0.331) & (0.458) & (0.402) \\
|
|
||||||
& & & \\
|
|
||||||
Subd1:Post 2011 & -0.131 & -0.557 & -0.642^{*} \\
|
|
||||||
& (0.295) & (0.386) & (0.342) \\
|
|
||||||
\hline \\[-1.8ex]
|
|
||||||
& & & \\
|
|
||||||
Subdistrict 1 & 0.288 & -0.325 & \\
|
|
||||||
& (0.205) & (0.253) & \\
|
|
||||||
& & & \\
|
|
||||||
Surface Water Ind. & 0.310 & -0.038 & \\
|
|
||||||
& (0.201) & (0.241) & \\
|
|
||||||
& & & \\
|
|
||||||
Ground Water Ind. & -0.269^{*} & -0.103 & \\
|
|
||||||
& (0.151) & (0.213) & \\
|
|
||||||
& & & \\
|
|
||||||
Has Well Ind. & 0.144 & 0.416^{*} & \\
|
|
||||||
& (0.158) & (0.214) & \\
|
|
||||||
& & & \\
|
|
||||||
Subd1:Has Well Ind. & 0.315 & -0.327 & \\
|
|
||||||
& (0.223) & (0.282) & \\
|
|
||||||
& & & \\
|
|
||||||
Area (log) & 0.492^{***} & 0.283^{***} & \\
|
|
||||||
& (0.039) & (0.074) & \\
|
|
||||||
& & & \\
|
|
||||||
Data Issue Ind. & -0.616^{***} & -0.205 & \\
|
|
||||||
& (0.135) & (0.208) & \\
|
|
||||||
& & & \\
|
|
||||||
Land Additions (log\$) & 0.025^{***} & 0.034^{***} & \\
|
|
||||||
& (0.004) & (0.005) & \\
|
|
||||||
& & & \\
|
|
||||||
Constant & 9.078^{***} & 10.142^{***} & 11.639^{***} \\
|
|
||||||
& (0.387) & (0.559) & (0.593) \\
|
|
||||||
& & & \\
|
|
||||||
\hline \\[-1.8ex]
|
|
||||||
& & & \\
|
|
||||||
Observations & \multicolumn{1}{c}{1,363} & \multicolumn{1}{c}{639} & \multicolumn{1}{c}{746} \\
|
|
||||||
R$^{2}$ & \multicolumn{1}{c}{0.249} & \multicolumn{1}{c}{0.208} & \multicolumn{1}{c}{0.825} \\
|
|
||||||
Adjusted R$^{2}$ & \multicolumn{1}{c}{0.217} & \multicolumn{1}{c}{0.134} & \multicolumn{1}{c}{0.678} \\
|
|
||||||
Residual Std. Error & \multicolumn{1}{c}{1.613 (df = 1307)} & \multicolumn{1}{c}{1.494 (df = 583)} & \multicolumn{1}{c}{1.392 (df = 405)} \\
|
|
||||||
F Statistic & \multicolumn{1}{c}{7.867$^{***}$ } & \multicolumn{1}{c}{2.788$^{***}$ } & \multicolumn{1}{c}{5.606$^{***}$ } \\
|
|
||||||
\hline
|
|
||||||
\hline \\[-1.8ex]
|
|
||||||
& & & \\
|
|
||||||
\textit{Note:} & \multicolumn{3}{r}{$^{*}$p$<$0.1; $^{**}$p$<$0.05; $^{***}$p$<$0.01} \\
|
|
||||||
\end{tabular}
|
|
||||||
\end{table}
|
|
||||||
\endgroup
|
|
||||||
|
|
||||||
@ -1,26 +0,0 @@
|
|||||||
\begin{table}[H] \centering
|
|
||||||
\caption{Net Response of Subdistrict 1 Parcels Sold After 2006}
|
|
||||||
\label{RESP}
|
|
||||||
\begin{tabular}{@{\extracolsep{5pt}} ccccccc}
|
|
||||||
\\[-1.8ex]\hline
|
|
||||||
\hline \\[-1.8ex]
|
|
||||||
\\[-1.8ex] & \multicolumn{2}{c}{All Parcels}& \multicolumn{2}{c}{Under 80 Acres}& \multicolumn{2}{c}{Over 80 Acres} \\
|
|
||||||
\hline \\[-1.8ex]
|
|
||||||
& Unsold & Sold & Unsold & Sold & Unsold & Sold \\ \cline{2-5}
|
|
||||||
\hline \\[-1.8ex]
|
|
||||||
Number of Parcels & 254 & 196 & 89 & 104 & 165 & 92 \\
|
|
||||||
Total Growing Acres & 25800 & 14800 & 1700 & 2100 & 24200 & 12700 \\
|
|
||||||
Mean Growing Acres & 102 & 75 & 19 & 20 & 146 & 138 \\
|
|
||||||
& \multicolumn{5}{c} \bf{Net Change in Crop Choice} \\
|
|
||||||
\hline
|
|
||||||
Fallow & 6.6\% & 7.6\% & 21.8\% & 26.6\% & 5.4\% & 4.3\% \\
|
|
||||||
Alfalfa & -1.3\% & -6.8\% & -6.8\% & -6.8\% & -0.8\% & -6.8\% \\
|
|
||||||
Grass Pasture & 3.3\% & 5.3\% & 0.9\% & 4.9\% & 3.5\% & 5.3\% \\
|
|
||||||
Small Grains & 0.4\% & -4.1\% & -11.9\% & -12.9\% & 1.4\% & -2.6\% \\
|
|
||||||
Potatoes & -8.6\% & -4.9\% & -7.9\% & -10.1\% & -8.6\% & -4.0\% \\
|
|
||||||
Other & 1.4\% & 4.5\% & 4.2\% & 0.7\% & 1.2\% & 5.1\% \\
|
|
||||||
\hline \\[-1.8ex]
|
|
||||||
\end{tabular}
|
|
||||||
\end{table}
|
|
||||||
|
|
||||||
|
|
||||||
@ -1,26 +0,0 @@
|
|||||||
% Table created by stargazer v.5.2.2 by Marek Hlavac, Harvard University. E-mail: hlavac at fas.harvard.edu
|
|
||||||
% Date and time: Mon, Apr 26, 2021 - 05:50:54 PM
|
|
||||||
\begin{table}[!htbp] \centering
|
|
||||||
\caption{Sale Summary Statistics}
|
|
||||||
\label{SLSUM}
|
|
||||||
\begin{tabular}{@{\extracolsep{5pt}} ccc}
|
|
||||||
\\[-1.8ex]\hline
|
|
||||||
\hline \\[-1.8ex]
|
|
||||||
& Control & Subdistrict 1 \\
|
|
||||||
\hline \\[-1.8ex]
|
|
||||||
Number of Sales & 1603 & 744 \\ Mean Price (\$/Acre) & 5200 & 7100 \\
|
|
||||||
Med. Price (\$/Acre) & 1700 & 1900 \\
|
|
||||||
Med. Area (Acres) & 99 & 112\\
|
|
||||||
First Sale Date & 1954-03-03 & 1949-12-03 \\
|
|
||||||
Med. Sale Date & 2003-08-01 & 2000-08-30 \\
|
|
||||||
Enhancements & 44\% & 45\% \\
|
|
||||||
Enhancement Value & 75500 & 74000 \\
|
|
||||||
Sold before 2002 & 45\% & 54\% \\
|
|
||||||
Sold After 2002 & 55\% & 46\% \\
|
|
||||||
Sold After 2006 & 43\% & 34\% \\
|
|
||||||
Sold After 2011 & 27\% & 21\% \\
|
|
||||||
\hline \\[-1.8ex]
|
|
||||||
\end{tabular}
|
|
||||||
\end{table}
|
|
||||||
|
|
||||||
|
|
||||||
@ -1,68 +0,0 @@
|
|||||||
\begin{table}[H] \centering
|
|
||||||
\caption{Tobit Model of Crop Choice After 2011}
|
|
||||||
\label{tobit}
|
|
||||||
\scalebox{0.75}{
|
|
||||||
|
|
||||||
\begin{threeparttable}
|
|
||||||
\begin{tabular}{@{\extracolsep{5pt}}lcccccc}
|
|
||||||
\\[-1.8ex]\hline
|
|
||||||
\hline \\[-1.8ex]
|
|
||||||
& \multicolumn{6}{c}{\textit{Dependent variable:Post 2011 Crop Choice}} \\
|
|
||||||
\cline{2-7}
|
|
||||||
\\[-1.8ex] & (Fallow) & (Alfalfa) & (Small Grains) & (Grass Pas.) & (Potato) & (Other)\\
|
|
||||||
\hline \\[-1.8ex]
|
|
||||||
\bf{Post 2006} & \bf{0.071}$^{**}$ & $-$\bf{0.012} & $\bf{-}$\bf{0.045}$^{**}$ & \bf{0.012} & $\bf{-}$\bf{0.015} & \bf{0.001} \\
|
|
||||||
& (0.023) & (0.0269) & (0.017) & (0.015) & (0.019) & (0.013) \\
|
|
||||||
\hline
|
|
||||||
& \multicolumn{6}{c}{Pretreatment Crop Mix}\\
|
|
||||||
\cline{2-7}
|
|
||||||
& & & & & & \\
|
|
||||||
Fallow \% & $-$0.231$^{**}$ & 0.0004 & 0.009 & 0.328$^{***}$ & $-$0.091 & 0.120$^{**}$ \\
|
|
||||||
& (0.097) & (0.099) & (0.073) & (0.062) & (0.081) & (0.053) \\
|
|
||||||
& & & & & & \\
|
|
||||||
Alfalfa \% & $-$0.017 & 0.339$^{***}$ & $-$0.052 & 0.018 & $-$0.226$^{***}$ & $-$0.033 \\
|
|
||||||
& (0.071) & (0.073) & (0.053) & (0.046) & (0.059) & (0.039) \\
|
|
||||||
& & & & & & \\
|
|
||||||
Grass Pasture \% & 0.225$^{**}$ & 0.143 & $-$0.196$^{**}$ & 0.387$^{***}$ & $-$0.310$^{***}$ & $-$0.130$^{**}$ \\
|
|
||||||
& (0.092) & (0.094) & (0.069) & (0.059) & (0.077) & (0.050) \\
|
|
||||||
& & & & & & \\
|
|
||||||
Potatoes \% & 0.101 & $-$0.194$^{**}$ & 0.055 & $-$0.042 & 0.144$^{**}$ & $-$0.045 \\
|
|
||||||
& (0.075) & (0.077) & (0.056) & (0.048) & (0.063) & (0.041) \\
|
|
||||||
& & & & & & \\
|
|
||||||
Small Grains \% & 0.019 & $-$0.052 & 0.057 & $-$0.035 & 0.050 & $-$0.001 \\
|
|
||||||
& (0.072) & (0.074) & (0.054) & (0.047) & (0.060) & (0.039) \\
|
|
||||||
& & & & & & \\
|
|
||||||
& \multicolumn{6}{c}{Other Variables}\\
|
|
||||||
\cline{2-7}
|
|
||||||
& & & & & & \\
|
|
||||||
Area (ln) & $-$0.026$^{**}$ & 0.020$^{*}$ & 0.023$^{***}$ & $-$0.006 & $-$0.001 & $-$0.012$^{**}$ \\
|
|
||||||
& (0.011) & (0.011) & (0.008) & (0.007) & (0.009) & (0.006) \\
|
|
||||||
& & & & & & \\
|
|
||||||
Surface Water Ind.& $-$0.626$^{***}$ & 0.138$^{***}$ & 0.183$^{***}$ & 0.028 & 0.251$^{***}$ & 0.092$^{***}$ \\
|
|
||||||
& (0.038) & (0.039) & (0.028) & (0.024) & (0.031) & (0.021) \\
|
|
||||||
& & & & & & \\
|
|
||||||
Ground Water Ind. & 0.265$^{***}$ & 0.213$^{**}$ & $-$0.079 & $-$0.219$^{***}$ & $-$0.034 & 0.050 \\
|
|
||||||
& (0.097) & (0.099) & (0.073) & (0.062) & (0.080) & (0.053) \\
|
|
||||||
& & & & & & \\
|
|
||||||
\% Crop Land & $-$0.047 & $-$0.026 & 0.159$^{***}$ & $-$0.060 & 0.082$^{*}$ & $-$0.030 \\
|
|
||||||
& (0.059) & (0.061) & (0.044) & (0.038) & (0.049) & (0.032) \\
|
|
||||||
& & & & & & \\
|
|
||||||
\hline \\[-1.8ex]
|
|
||||||
Observations & 450 & 450 & 450 & 450 & 450 & 450 \\
|
|
||||||
Log Likelihood & 13.971 & 4.698 & 143.095 & 213.130 & 96.370 & 288.063 \\
|
|
||||||
Akaike Inf. Crit. & $-$3.942 & 14.603 & $-$262.191 & $-$402.260 & $-$168.739 & $-$552.126 \\
|
|
||||||
\hline
|
|
||||||
\hline \\[-1.8ex]
|
|
||||||
\end{tabular}
|
|
||||||
\begin{tablenotes}
|
|
||||||
\item{\emph{Note:} The model is censored to have a value that ranges from zero to one for each crop. The dataset consists of Subdistrict One parcels. Sale attributes are aggregated to the parcel level so that there is one entry per parcel in the subdistrict. The post 2006 term is one if a parcel was sold between 2006 and 2020, and zero if there are only sale records prior to 2006.}
|
|
||||||
\item{$^{***}$Significant at the 1 percent level.}
|
|
||||||
\item{$^{**}$Significant at the 5 percent level.}
|
|
||||||
\item{$^{*}$Significant at the 10 percent level.}
|
|
||||||
\end{tablenotes}
|
|
||||||
\end{threeparttable}
|
|
||||||
}
|
|
||||||
\end{table}
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
@ -1,50 +0,0 @@
|
|||||||
\begin{center}
|
|
||||||
\scalebox{0.75}{
|
|
||||||
\begin{threeparttable}[H]
|
|
||||||
\caption{Difference-in-Difference Matched Regression 1980-2005}
|
|
||||||
\label{reg2002}
|
|
||||||
\begin{tabular}{@{\extracolsep{5pt}}lccc}
|
|
||||||
\hline
|
|
||||||
& \multicolumn{3}{c}{Real Sale Price log(\$)} \\
|
|
||||||
& All Parcels & Under 80 Ares & Over 80 Acres \\
|
|
||||||
& (1) & (2) & (3)\\
|
|
||||||
\hline \\[-1.8ex]
|
|
||||||
\bf{Subd1 x Post 2002} & $-$0.980$^{***}$ & $-$0.766$^{**}$ & $-$1.223$^{***}$ \\
|
|
||||||
& (0.280) & (0.389) & (0.389) \\
|
|
||||||
Subdistrict 1 & 0.117 & $-$0.680$^{**}$ & 0.092 \\
|
|
||||||
& (0.261) & (0.311) & (0.431) \\
|
|
||||||
Surface Ind. & 0.635$^{*}$ & 1.351$^{***}$ & $-$0.170 \\
|
|
||||||
& (0.327) & (0.458) & (0.843) \\
|
|
||||||
Ground Ind. & 0.072 & 0.744$^{*}$ & $-$1.333 \\
|
|
||||||
& (0.346) & (0.401) & (0.939) \\
|
|
||||||
Surface x Ground & $-$0.575 & $-$1.905$^{***}$ & 1.097 \\
|
|
||||||
& (0.395) & (0.531) & (0.967) \\
|
|
||||||
Surface x Post 2002 & $-$0.231 & $-$0.004 & 4.915$^{***}$ \\
|
|
||||||
& (0.383) & (0.424) & (1.460) \\
|
|
||||||
Subd1 x Well Ind & 0.676$^{**}$ & 0.326 & 1.011$^{**}$ \\
|
|
||||||
& (0.311) & (0.392) & (0.483) \\
|
|
||||||
Area (log) & 0.506$^{***}$ & 0.378$^{***}$ & 0.491$^{***}$ \\
|
|
||||||
& (0.052) & (0.100) & (0.177) \\
|
|
||||||
Structure Value (log) & 0.017$^{***}$ & 0.024$^{***}$ & 0.005 \\
|
|
||||||
& (0.005) & (0.007) & (0.007) \\
|
|
||||||
\hline
|
|
||||||
Observations & 820 & 355 & 470 \\
|
|
||||||
R$^{2}$ & 0.235 & 0.211 & 0.250 \\
|
|
||||||
Adjusted R$^{2}$ & 0.199 & 0.122 & 0.187 \\
|
|
||||||
Residual Std. Error & 1.654 (df = 783) & 1.484 (df = 318) & 1.657 (df = 433) \\
|
|
||||||
F Statistic & 6.666$^{***}$ (df = 36; 783) & 2.367$^{***}$ (df = 36; 318) & 4.000$^{***}$ (df = 36; 433) \\
|
|
||||||
\hline \\[-1.8ex]
|
|
||||||
\end{tabular}
|
|
||||||
|
|
||||||
\begin{tablenotes}
|
|
||||||
\small
|
|
||||||
\item{\emph{Note:} Regression results from equation \eqref{mainreg}. The Subd1 variable is an indicator for a parcel being in the subdistrict. Surface and Ground variables are indicators for the respective water source being used to irrigate the parcel. The Structure Value variable is the reported USD value of additional structures and enhancements on the property. A number of variables are omitted from the table for clarity. The omitted variables include, all year fixed effects, an indicator for having a well on the parcel, indicators for a parcel joining subdistrict 2, and a indicator that flags records with suspect reported area’s.}
|
|
||||||
\item{$^{***}$Significant at the 1 percent level.}
|
|
||||||
\item{$^{**}$Significant at the 5 percent level.}
|
|
||||||
\item{$^{*}$Significant at the 10 percent level.}
|
|
||||||
|
|
||||||
\end{tablenotes}
|
|
||||||
\end{threeparttable}
|
|
||||||
}
|
|
||||||
\end{center}
|
|
||||||
|
|
||||||
@ -1,49 +0,0 @@
|
|||||||
\begin{center}
|
|
||||||
\scalebox{0.75}{
|
|
||||||
\begin{threeparttable}[H] \centering
|
|
||||||
\caption{Difference-in-Difference Matched Regression 1980-2011}
|
|
||||||
\label{reg2006}
|
|
||||||
\begin{tabular}{@{\extracolsep{5pt}}lccc}
|
|
||||||
\hline
|
|
||||||
\hline \\[-1.8ex]
|
|
||||||
& \multicolumn{3}{c}{Real Sale Price log(\$)} \\
|
|
||||||
& All Parcels & Under 80 Ares & Over 80 Acres \\
|
|
||||||
\\[-1.8ex] & (1) & (2) & (3)\\
|
|
||||||
\hline \\[-1.8ex]
|
|
||||||
\bf{Subd1 x Post 2006} & 0.657$^{**}$ & 1.295$^{***}$ & 0.127 \\
|
|
||||||
& (0.327) & (0.437) & (0.481) \\
|
|
||||||
Subdistrict 1 & 0.272 & $-$0.589$^{**}$ & 0.248 \\
|
|
||||||
& (0.234) & (0.279) & (0.396) \\
|
|
||||||
Surface Ind. & 0.527$^{*}$ & 1.216$^{***}$ & $-$0.335 \\
|
|
||||||
& (0.294) & (0.409) & (0.731) \\
|
|
||||||
Ground Ind. & $-$0.014 & 0.692$^{**}$ & $-$1.557$^{**}$ \\
|
|
||||||
& (0.302) & (0.347) & (0.785) \\
|
|
||||||
Surface x Ground & $-$0.344 & $-$1.707$^{***}$ & 1.463$^{*}$ \\
|
|
||||||
& (0.345) & (0.465) & (0.805) \\
|
|
||||||
Surface x Post 2006 & $-$0.186 & 0.091 & $-$5.617$^{***}$ \\
|
|
||||||
& (0.452) & (0.505) & (1.437) \\
|
|
||||||
Subd1 x Well Ind & 0.365 & $-$0.046 & 0.799$^{*}$ \\
|
|
||||||
& (0.266) & (0.327) & (0.435) \\
|
|
||||||
Area (log) & 0.497$^{***}$ & 0.325$^{***}$ & 0.534$^{***}$ \\
|
|
||||||
& (0.045) & (0.083) & (0.157) \\
|
|
||||||
Structure Value (log) & 0.021$^{***}$ & 0.030$^{***}$ & 0.004 \\
|
|
||||||
& (0.004) & (0.006) & (0.006) \\
|
|
||||||
\hline
|
|
||||||
Observations & 1,029 & 460 & 569 \\
|
|
||||||
R$^{2}$ & 0.239 & 0.208 & 0.244 \\
|
|
||||||
Adjusted R$^{2}$ & 0.206 & 0.126 & 0.182 \\
|
|
||||||
Residual Std. Error & 1.597 (df = 985) & 1.424 (df = 416) & 1.612 (df = 525) \\
|
|
||||||
F Statistic & 7.196$^{***}$ (df = 43; 985) & 2.543$^{***}$ (df = 43; 416) & 3.948$^{***}$ (df = 43; 525) \\
|
|
||||||
\hline \\[-1.8ex]
|
|
||||||
\end{tabular}
|
|
||||||
\begin{tablenotes}
|
|
||||||
\small
|
|
||||||
\item{\emph{Note:} Regression results from equation \eqref{mainreg} following the same reporting procedure as in table \ref{reg2002}. Starting in 2006 both the post 2002 and post 2006 indicators are one. The baseline of the subdistrict post 2006 interaction includes the fixed effect of post 2002. Since the policy fixed effects of being in the subdistrict after 2002 is identical to table \ref{reg2002} these are omitted from the summary. }
|
|
||||||
\item{$^{***}$Significant at the 1 percent level.}
|
|
||||||
\item{$^{**}$Significant at the 5 percent level.}
|
|
||||||
\item{$^{*}$Significant at the 10 percent level.}
|
|
||||||
|
|
||||||
\end{tablenotes}
|
|
||||||
\end{threeparttable}
|
|
||||||
}
|
|
||||||
\end{center}
|
|
||||||
@ -1,51 +0,0 @@
|
|||||||
\begin{center}
|
|
||||||
% Table created by stargazer v.5.2.2 by Marek Hlavac, Harvard University. E-mail: hlavac at fas.harvard.edu
|
|
||||||
% Date and time: Tue, Jul 20, 2021 - 05:33:19 PM
|
|
||||||
\scalebox{0.75}{
|
|
||||||
\begin{threeparttable}[!htbp] \centering
|
|
||||||
\caption{Difference-in-Difference Matched Regression 1980-2020}
|
|
||||||
\label{reg2011}
|
|
||||||
\begin{tabular}{@{\extracolsep{5pt}}lccc}
|
|
||||||
\hline
|
|
||||||
\hline
|
|
||||||
& \multicolumn{3}{c}{Real Sale Price log(\$)} \\
|
|
||||||
& All Parcels & Under 80 Ares & Over 80 Acres \\
|
|
||||||
& (1) & (2) & (3)\\
|
|
||||||
\hline
|
|
||||||
\bf{Subd1 x Post 2011} & $-$0.127 & $-$0.513 & 0.509 \\
|
|
||||||
& (0.296) & (0.385) & (0.437) \\
|
|
||||||
Subdistrict 1 & 0.273 & $-$0.537$^{**}$ & 0.168 \\
|
|
||||||
& (0.211) & (0.263) & (0.355) \\
|
|
||||||
Surface Ind. & 0.367 & 0.746$^{**}$ & $-$0.494 \\
|
|
||||||
& (0.271) & (0.372) & (0.637) \\
|
|
||||||
Ground Ind. & $-$0.205 & 0.486 & $-$1.618$^{***}$ \\
|
|
||||||
& (0.256) & (0.301) & (0.626) \\
|
|
||||||
Surface x Ground & $-$0.092 & $-$1.102$^{***}$ & 1.665$^{***}$ \\
|
|
||||||
& (0.294) & (0.400) & (0.638) \\
|
|
||||||
Surface x Post 2011 & 0.779$^{*}$ & 0.415 & 1.187 \\
|
|
||||||
& (0.400) & (0.469) & (0.918) \\
|
|
||||||
Subd1 x Well Ind & 0.330 & $-$0.181 & 0.804$^{**}$ \\
|
|
||||||
& (0.228) & (0.285) & (0.379) \\
|
|
||||||
Area (log) & 0.494$^{***}$ & 0.296$^{***}$ & 0.488$^{***}$ \\
|
|
||||||
& (0.040) & (0.074) & (0.137) \\
|
|
||||||
Structure Value (log) & 0.025$^{***}$ & 0.034$^{***}$ & 0.006 \\
|
|
||||||
& (0.004) & (0.005) & (0.005) \\
|
|
||||||
\hline
|
|
||||||
Observations & 1,363 & 639 & 738 \\
|
|
||||||
R$^{2}$ & 0.249 & 0.218 & 0.251 \\
|
|
||||||
Adjusted R$^{2}$ & 0.217 & 0.143 & 0.190 \\
|
|
||||||
Residual Std. Error & 1.614 (df = 1306) & 1.486 (df = 582) & 1.603 (df = 681) \\
|
|
||||||
F Statistic & 7.723$^{***}$ (df = 56; 1306) & 2.905$^{***}$ (df = 56; 582) & 4.080$^{***}$ (df = 56; 681) \\
|
|
||||||
\hline \\[-1.8ex]
|
|
||||||
\end{tabular}
|
|
||||||
\begin{tablenotes}
|
|
||||||
\small
|
|
||||||
\item{\emph{Note:} Regression results from equation \eqref{mainreg} following the same reporting procedure as in table \ref{reg2006}}
|
|
||||||
\item{$^{***}$Significant at the 1 percent level.}
|
|
||||||
\item{$^{**}$Significant at the 5 percent level.}
|
|
||||||
\item{$^{*}$Significant at the 10 percent level.}
|
|
||||||
|
|
||||||
\end{tablenotes}
|
|
||||||
\end{threeparttable}
|
|
||||||
}
|
|
||||||
\end{center}
|
|
||||||
@ -1,73 +0,0 @@
|
|||||||
|
|
||||||
% Table created by stargazer v.5.2.2 by Marek Hlavac, Harvard University. E-mail: hlavac at fas.harvard.edu
|
|
||||||
% Date and time: Tue, Jul 20, 2021 - 06:14:54 PM
|
|
||||||
\begin{table}[!htbp] \centering
|
|
||||||
\caption{Difference-in-Difference All Models}
|
|
||||||
\label{T-mainreg}
|
|
||||||
\scalebox{0.75}{
|
|
||||||
\begin{threeparttable}
|
|
||||||
\begin{tabular}{@{\extracolsep{5pt}}lccccc}
|
|
||||||
\\[-1.8ex]\hline
|
|
||||||
\hline \\[-1.8ex]
|
|
||||||
\\[-1.8ex] & \multicolumn{5}{c}{Real Sale Price log(\$)} \\
|
|
||||||
& All Parcels & Under 80 Ares & Over 80 Acres & Fixed Effect & Fixed Effect IPTW \\
|
|
||||||
\\[-1.8ex] & (1) & (2) & (3) & (4) & (5)\\
|
|
||||||
\hline \\[-1.8ex]
|
|
||||||
\bf{Subd1 x Post 2002} & $-$0.945$^{***}$ & $-$0.764$^{**}$ & $-$1.215$^{***}$ & $-$0.318 & $-$0.761$^{**}$ \\
|
|
||||||
& (0.273) & (0.387) & (0.375) & (0.365) & (0.361) \\
|
|
||||||
& & & & & \\
|
|
||||||
\bf{Subd1 x Post 2006} & 0.666$^{**}$ & 1.322$^{***}$ & 0.121 & 0.637 & 0.830$^{**}$ \\
|
|
||||||
& (0.331) & (0.455) & (0.477) & (0.410) & (0.402) \\
|
|
||||||
& & & & & \\
|
|
||||||
\bf{Subd1 x Post 2011} & $-$0.127 & $-$0.513 & 0.509 & $-$0.423 & $-$0.642$^{*}$ \\
|
|
||||||
& (0.296) & (0.385) & (0.437) & (0.354) & (0.342) \\
|
|
||||||
& & & & & \\
|
|
||||||
Subdistrict 1 & 0.273 & $-$0.537$^{**}$ & 0.168 & & \\
|
|
||||||
& (0.211) & (0.263) & (0.355) & & \\
|
|
||||||
& & & & & \\
|
|
||||||
Surface Ind. & 0.367 & 0.746$^{**}$ & $-$0.494 & & \\
|
|
||||||
& (0.271) & (0.372) & (0.637) & & \\
|
|
||||||
& & & & & \\
|
|
||||||
Ground Ind. & $-$0.205 & 0.486 & $-$1.618$^{***}$ & & \\
|
|
||||||
& (0.256) & (0.301) & (0.626) & & \\
|
|
||||||
& & & & & \\
|
|
||||||
Surface x Ground & $-$0.092 & $-$1.102$^{***}$ & 1.665$^{***}$ & & \\
|
|
||||||
& (0.294) & (0.400) & (0.638) & & \\
|
|
||||||
& & & & & \\
|
|
||||||
Surface x Post 2002 & $-$0.260 & $-$0.008 & 5.138$^{***}$ & & \\
|
|
||||||
& (0.372) & (0.424) & (1.323) & & \\
|
|
||||||
& & & & & \\
|
|
||||||
Surface x Post 2006 & $-$0.155 & 0.102 & $-$5.673$^{***}$ & & \\
|
|
||||||
& (0.456) & (0.527) & (1.416) & & \\
|
|
||||||
& & & & & \\
|
|
||||||
Surface x Post 2011 & 0.779$^{*}$ & 0.415 & 1.187 & & \\
|
|
||||||
& (0.400) & (0.469) & (0.918) & & \\
|
|
||||||
& & & & & \\
|
|
||||||
Subd1 x Well Ind & 0.330 & $-$0.181 & 0.804$^{**}$ & & \\
|
|
||||||
& (0.228) & (0.285) & (0.379) & & \\
|
|
||||||
& & & & & \\
|
|
||||||
Area (log) & 0.494$^{***}$ & 0.296$^{***}$ & 0.488$^{***}$ & & \\
|
|
||||||
& (0.040) & (0.074) & (0.137) & & \\
|
|
||||||
& & & & & \\
|
|
||||||
Structure Value (log) & 0.025$^{***}$ & 0.034$^{***}$ & 0.006 & & \\
|
|
||||||
& (0.004) & (0.005) & (0.005) & & \\
|
|
||||||
& & & & & \\
|
|
||||||
Observations & 1,363 & 639 & 738 & 746 & 746 \\
|
|
||||||
R$^{2}$ & 0.249 & 0.218 & 0.251 & 0.781 & 0.825 \\
|
|
||||||
Adjusted R$^{2}$ & 0.217 & 0.143 & 0.190 & 0.596 & 0.678 \\
|
|
||||||
Residual Std. Error & 1.614 & 1.486 & 1.603 & 1.098 & 1.392 \\
|
|
||||||
& (df = 1306) & (df = 582) & (df = 681) & (df = 405) & (df = 405) \\
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F Statistic & 7.723$^{***}$ & 2.905$^{***}$ & 4.080$^{***}$ & 4.238$^{***}$ & 5.606$^{***}$ \\
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& (df = 56; 1306) & (df = 56; 582) & (df = 56; 681) & (df = 340; 405) & (df = 340; 405) \\
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\hline \\[-1.8ex]
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\end{tabular}
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\vspace{1ex}
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\begin{tablenotes}
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\item{\emph{Note:} Regression results for all time periods. The first three columns are a matched parcel model for parcel of various sizes. All shock indicators remain on. For example the indicator for 2002 is one for all years after 2002, including after 2006. The last two columns contain parcel fixed effect models. The data for the fixed effect model includes all sales records of parcels sold at least once before 2002, and after 2002.Most covariates drop out due to collinearity. }
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\item{$^{***}$Significant at the 1 percent level.}
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\item{$^{**}$Significant at the 5 percent level.}
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\item{$^{*}$Significant at the 10 percent level.}
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\end{tablenotes}
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\end{threeparttable}
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}
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\end{table}
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