\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} 



