Added Rio Grande files

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alex 2022-12-05 22:04:30 -07:00
parent b90813ce5c
commit 16d3cd841f
153 changed files with 8213 additions and 17741 deletions

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\usepackage{textpos} \usepackage{textpos}
%{\includegraphics[width=\paperwidth,height=\paperheight,keepaspectratio]{./img/Mines_background1.pdf}} %{\includegraphics[width=\paperwidth,height=\paperheight,keepaspectratio]{./img/Mines_background1.pdf}}
%----------------------------------------------------------------------------------------
% TITLE PAGE
%----------------------------------------------------------------------------------------
\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
\subtitle{Hedonic Analysis of Groundwater Institutional Change in San Luis Valley, Colorado}
\author[Alex Gebben] {Alexander Gebben}
\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 \\
Colorado School of Mines
\vskip 3pt
}
% \logo{\includegraphics[width=0.2\linewidth]{./img/Mines.jpg}}
\date{\today} % Date, can be changed to a custom date
%---------------------------------------------------------------------------------------- %----------------------------------------------------------------------------------------
% PRESENTATION SLIDES % PRESENTATION SLIDES
%---------------------------------------------------------------------------------------- %----------------------------------------------------------------------------------------
\begin{document} \begin{document}
\input{./Sections/Intro.tex} %\input{./Sections/Intro.tex}
\input{./Sections/Overview.tex} %\input{./Sections/Overview.tex}
%------------------------------------------------ %------------------------------------------------
\section{Introduction \& Overview} \section{Introduction \& Overview}
\section{History} \section{History}
\input{./Sections/SP_Letters.tex} \input{./Sections/SP_Letters.tex}
\input{./Sections/Reg_Disc.tex} %\input{./Sections/Reg_Disc.tex}
%\subsection{Key Events} %\subsection{Key Events}
%\subsection{Subdistrict Formation} %\subsection{Subdistrict Formation}
\section{Econometric Strategy} %\section{Econometric Strategy}
\section{Data} %\section{Data}
\subsection{Challenges} %\subsection{Challenges}
\subsection{Hedonic} %\subsection{Hedonic}
\subsection{Micro Data} %\subsection{Micro Data}
\section{Results} %\section{Results}
\subsection{Response of Farms} %\subsection{Response of Farms}
\subsection{Farmland Value Changes} \subsection{Farmland Value Changes}
\input{./Sections/Fig_Micro_Reg.tex} %\input{./Sections/Fig_Micro_Reg.tex}
\input{./Sections/Bullets.tex} \input{./Sections/Bullets.tex}
\input{./Sections/Highlight.tex} \input{./Sections/Highlight.tex}

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\begin{frame}[plain]{Regression Discontinuity} \begin{frame}[plain]{Regression Discontinuity}
\begin{center} \begin{center}
\includegraphics[width=\textwidth,height=0.90\textheight,keepaspectratio]{./img/SP_Letter1_edit.pdf} % \includegraphics[width=\textwidth,height=0.90\textheight,keepaspectratio]{./img/SP_Letter1_edit.pdf}
\pause \pause
\includegraphics[width=\textwidth,height=0.90\textheight,keepaspectratio]{./img/SP_Letter2_edit.pdf} % \includegraphics[width=\textwidth,height=0.90\textheight,keepaspectratio]{./img/SP_Letter2_edit.pdf}
\end{center} \end{center}
\end{frame} \end{frame}

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library(tidyverse)
library(lubridate)
library(tidyquant)
library(stargazer)
BTC <- tq_get("BTC-USD")
hash <- read_csv("BCHAIN-HRATE.csv") %>% rename(date=Date,hash=Value)
df <- hash %>% inner_join(BTC)
df$hash_dif <- c(NA,diff(df$hash))
df$hash_dif <- ifelse(df$hash_dif==0,0.0001,df$hash_dif)
df <- df %>% mutate(p_dif = close-open)
df$p <- (df$close+df$open)/2
df$p_dif <- ifelse(df$p_dif==0,0.0001,df$p_dif)
df$p_dif2 <- c(NA,diff(df$p))
df$down <- ifelse(0>df$p_dif2,1,0)
#lag_dis <- 30*12
df <- df %>% arrange(date)
lag_dis <- 30
df$pw <- df$p-lag(df$p,lag_dis)
df$pw <- ifelse(df$pw==0,0.0001,df$pw)
df$down <- ifelse(df$pw<0,1,0)
df$hw <- df$hash-lag(df$hash,lag_dis)
df$hw <- ifelse(df$hw==0,0.0001,df$hw)
library(lubridate)
df$month <- as.factor((month.abb[month(df$date)]))
df$year <- as.factor(year(df$date))
model1 <- (lm(log(hw)~lag(hash,360)+year+month+log(pw),data=df))
summary(model1)
acf(model1$resid)
pacf(model1$resid)
model1 <- (lm(log(hw)~as.factor(year(date))+as.factor(month(date))+log(pw),data=df))
summary(lm(hw~as.factor(year(date))+as.factor(month(date))+lag(hash,lag_dis)+log(pw),data=df))
summary(lm(hash~as.factor(year(date))+as.factor(month(date))+(hash,lag_dis)+log(pw),data=df))
stargazer
summary(model1)
rm(model1)
model1 <- (lm(log(hw)~as.factor(year(date))+as.factor(month(date))+log(pw),data=filter(df,year(df$date)>2012)))
summary(model1)
pacf(model1$resid)
acf(model1$resid)
plot(model1$resid)

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\begin{document} \begin{document}
%------------------------------------------------ %------------------------------------------------
\section{Introduction \& Overview} \section{Hedonic}
\subsection{Introduction}
\input{./RG_Sections/Question.tex}
%--------------------------
\section{Bitcoin}
\subsection{Introduction \& Overview}
\input{./Sections/Intro.tex} \input{./Sections/Intro.tex}
\input{./Sections/About_me.tex}
\input{./Sections/Other_Research.tex}
\section{Background}
\input{./Sections/Background.tex}
\input{./Sections/Key_Questions.tex} \input{./Sections/Key_Questions.tex}
\subsection{Background}
\input{./Sections/Background.tex}
\input{./Sections/Maps.tex}
\input{./Sections/Strategy.tex}
\input{./Sections/Data.tex}
\input{./Sections/Diagram.tex} \input{./Sections/Diagram.tex}
\input{./Sections/Mechanism.tex} \input{./Sections/Mechanism.tex}
\section{Bitcoin Mining} \subsection{Bitcoin Mining}
\input{./Sections/Bitcoin_Intro.tex} \input{./Sections/Bitcoin_Intro.tex}
\input{./Sections/Bitcoin_Incentives.tex} \input{./Sections/Bitcoin_Incentives.tex}
\input{./Sections/Mining_Structure.tex} \input{./Sections/Mining_Structure.tex}
\input{./Sections/Mining_Model.tex} \input{./Sections/Mining_Model.tex}
\input{./Sections/Mining_elast.tex} \input{./Sections/Mining_elast.tex}
%\input{./Sections/Reg_elas.tex} %\input{./Sections/Reg_elas.tex}
\section{Oil Market} \subsubsection{Oil Market}
\input{./Sections/Oil_Intro.tex} \input{./Sections/Oil_Intro.tex}
\input{./Sections/Oil_Structure.tex}
\input{./Sections/Oil_Assumptions.tex} \input{./Sections/Oil_Assumptions.tex}
\input{./Sections/Oil_Econometrics.tex} \input{./Sections/Oil_Econometrics.tex}
\input{./Sections/Data.tex} \subsection{Results}
\section{Results}
\input{./Sections/Maps.tex}
\input{./Sections/Subsidy_Chart.tex}
\input{./Sections/Results.tex} \input{./Sections/Results.tex}
\section{Conclusion} \subsection{Conclusion}
\input{./Sections/Conclusion.tex} \input{./Sections/Conclusion.tex}
\input{./Sections/Questions.tex} \input{./Sections/Questions.tex}
\section{Bibliography} \section{Bibliography}

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library(tidyverse)
library(lubridate)
library(tidyquant)
library(stargazer)
BTC <- tq_get("BTC-USD")
hash <- read_csv("BCHAIN-HRATE.csv") %>% rename(date=Date,hash=Value)
df <- hash %>% inner_join(BTC)
df$hash_dif <- c(NA,diff(df$hash))
df$hash_dif <- ifelse(df$hash_dif==0,0.0001,df$hash_dif)
df <- df %>% mutate(p_dif = close-open)
df$p <- (df$close+df$open)/2
df$p_dif <- ifelse(df$p_dif==0,0.0001,df$p_dif)
df$p_dif2 <- c(NA,diff(df$p))
df$down <- ifelse(0>df$p_dif2,1,0)
#lag_dis <- 30*12
df <- df %>% arrange(date)
lag_dis <- 30
df$pw <- df$p-lag(df$p,lag_dis)
df$pw <- ifelse(df$pw==0,0.0001,df$pw)
df$down <- ifelse(df$pw<0,1,0)
df$hw <- df$hash-lag(df$hash,lag_dis)
df$hw <- ifelse(df$hw==0,0.0001,df$hw)
library(lubridate)
df$month <- as.factor((month.abb[month(df$date)]))
df$year <- as.factor(year(df$date))
model1 <- (lm(log(hw)~lag(hash,360)+year+month+log(pw),data=df))
summary(model1)
acf(model1$resid)
pacf(model1$resid)
model1 <- (lm(log(hw)~as.factor(year(date))+as.factor(month(date))+log(pw),data=df))
summary(lm(hw~as.factor(year(date))+as.factor(month(date))+lag(hash,lag_dis)+log(pw),data=df))
summary(lm(hash~as.factor(year(date))+as.factor(month(date))+(hash,lag_dis)+log(pw),data=df))
stargazer
summary(model1)
rm(model1)
model1 <- (lm(log(hw)~as.factor(year(date))+as.factor(month(date))+log(pw),data=filter(df,year(df$date)>2012)))
summary(model1)
pacf(model1$resid)
acf(model1$resid)
plot(model1$resid)

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%------------------------------------------------
\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}

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%------------------------------------------------
\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}

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%------------------------------------------------
\begin{frame}
\Huge{\centerline{The End}}
\end{frame}

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\begin{frame}[plain]{Micro Data Regression}
\begin{center}
\includegraphics[width=\textwidth,height=0.90\textheight,keepaspectratio]{./Micro/Micro_regression.pdf}
\end{center}
\end{frame}

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%------------------------------------------------
\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}

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%------------------------------------------------
\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}

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%------------------------------------------------
\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}

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\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}

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\begin{frame}{Overview}
% 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 institutional change that modify the value of groundwater access?
}
\end{frame}

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\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}

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\begin{frame}[plain]{Regression Discontinuity}
\begin{center}
\includegraphics[width=\textwidth,height=0.90\textheight,keepaspectratio]{./img/CHANGE_Disc.png}
\end{center}
\end{frame}

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%------------------------------------------------
\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}

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%------------------------------------------------
\begin{frame}{Theorem}
\begin{theorem}[Mass--energy equivalence]
$E = mc^2$
\end{theorem}
\end{frame}

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%------------------------------------------------
\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}

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% 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}

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% 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}

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\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}

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\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

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\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}

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% 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}

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\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}

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\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 areas.}
\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}

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\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}

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\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}

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% 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) \\
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:} 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. }
\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}

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