\usepackage{setspace,graphicx,adjustbox,epstopdf,amsmath,
amsfonts,amssymb,amsthm,versionPO}
\usepackage{marginnote,datetime,enumitem,subfigure,rotating,fancyvrb}
\usepackage{hyperref,float}
\usepackage{tabulary}
\usepackage[flushleft]{threeparttable}
\usepackage{longtable}
\usepackage[longnamesfirst]{natbib}
\begin{document}
% Table generated by Excel2LaTeX from sheet 'table1'
\begin{table}[htbp]
\begin{threeparttable}
\small\addtolength{\tabcolsep}{-3pt}
\centering
\begin{adjustbox}{width=\textwidth,totalheight=\textheight,keepaspectratio}
\begin{tabular} {llllllr}
\multicolumn{6}{c} {Table 1: Aid and World Bank, 2000-2014}
& \\
\hline
\cmidrule & Model 1 & Model 2 & Model 3 & Model 4 & Model 5 & \\
\hline
\cmidrule Chinese Aid (log,t-1) & -0.1424*** & -0.1131*** & & & & \\
& (0.0000) & (0.0024) & & & & \\
Good Prac.Prin. (Dummy) & 0.6873 & 0.8687 & 0.5552 & 0.7876 & 0.695 & \\
& (0.5431) & (0.4505) & (0.6312) & (0.4725) & (0.5214) & \\
Avg. Project Size (log) & 0.4172 & 0.6363 & 0.3779 & 0.1865 & 0.1663 & \\
& (0.3322) & (0.1126) & (0.3647) & (0.6648) & (0.7027) & \\
Avg. Fields & 1.5570*** & 1.5497*** & 1.5732*** & 1.5931*** & 1.6233*** & \\
& (0.0000) & (0.0000) & (0.0000) & (0.0000) & (0.0000) & \\
CPI Growth (t-1) & -7.5936 & -7.2876 & -8.2161 & -7.7351 & -8.2952 & \\
& (0.3689) & (0.3366) & (0.3299) & (0.3915) & (0.3694) & \\
Investments (\% of GDP,t-1) & -0.0668* & -0.0364 & -0.0753* & -0.0507 & -0.0523 & \\
& (0.0991) & (0.4197) & (0.0773) & (0.2374) & (0.2503) & \\
Reserves (\% of GDP,t-1) & -0.0884*** & -0.0709** & -0.0863*** & -0.0751** & -0.0709** & \\
& (0.0033) & (0.0290) & (0.0038) & (0.0234) & (0.0338) & \\
GDP per Capita (log,t-1) & 0.7252 & 0.4731 & 0.5588 & 1.0413** & 0.9563** & \\
& (0.1020) & (0.3360) & (0.2047) & (0.0207) & (0.0381) & \\
GDP Growth (t-1) & -0.106 & -0.0231 & -0.1121 & -0.1347* & -0.1314 & \\
& (0.1477) & (0.7351) & (0.1302) & (0.0842) & (0.1045) & \\
Gov. Expd. (\% of GDP,t-1) & 0.1448* & 0.1595** & 0.1195 & 0.1132 & 0.0918 & \\
& (0.0727) & (0.0416) & (0.1025) & (0.1996) & (0.3118) & \\
Ext. Debt (\% of GDP,t-1) & 0.001 & 0.0002 & 0.0016 & 0.0048 & 0.0054 & \\
& (0.8687) & (0.9772) & (0.8090) & (0.5287) & (0.4680) & \\
FDI (\% of GDP,t-1) & 0.0568 & 0.0392 & 0.0661** & 0.0372 & 0.04 & \\
& (0.1127) & (0.2933) & (0.0454) & (0.2928) & (0.2731) & \\
Tax Revenue (\% of GDP,t-1) & -0.1260** & -0.1225* & -0.1165** & -0.1287** & -0.1118** & \\
& (0.0126) & (0.0512) & (0.0308) & (0.0178) & (0.0393) & \\
Monetary Expansion (t-1) & -0.0039 & 0.0116 & -0.0093 & -0.0017 & -0.0111 & \\
& (0.8943) & (0.6468) & (0.7528) & (0.9562) & (0.7277) & \\
Democracy (t-1) & -0.082 & -0.1152 & -0.0832 & -0.0921 & -0.0915 & \\
& (0.2416) & (0.1405) & (0.2304) & (0.1783) & (0.2163) & \\
UN Voting Aff. US (t-1) & -9.1826** & 3.2082 & -9.4205** & -7.2536* & -6.8217* & \\
& (0.0159) & (0.5746) & (0.0133) & (0.0791) & (0.0993) & \\
Trade US (log,t-1) & 0.0751 & -0.1155 & 0.0158 & 0.2594 & 0.2305 & \\
& (0.7049) & (0.6675) & (0.9392) & (0.1910) & (0.2529) & \\
East Asia \& Pacific (Dummy) & & 0.5022 & & & & \\
& & (0.3760) & & & & \\
Europe \& Central Asia (Dummy) & & -1.0843** & & & & \\
& & (0.0434) & & & & \\
Latin America \& Caribbean (Dummy) & & 0.5240* & & & & \\
& & (0.0600) & & & & \\
Middle East \& South Asia (Dummy) & & -0.0568 & & & & \\
& & (0.8032) & & & & \\
Chinese ODA (log,t-1) & & & -0.1763*** & & & \\
& & & (0.0000) & & & \\
Chinese OOF (log,t-1) & & & & -0.0916** & & \\
& & & & (0.0219) & & \\
Chinese Vague OF (log,t-1) & & & & & -0.0157 & \\
& & & & & (0.7248) & \\
\cmidrule N & 253 & 253 & 253 & 253 & 253 & \\
\cmidrule
\hline
\end{adjustbox}
\label{tab:addlabel}%
\end{tabular}%
\begin{tablenotes}\footnotesize\smallskip
{Notes: The dependent variable measures the average number of prior actions per World Bank project received by a recipient country i in period t, rounded to the closest integer. Marginal effects at the mean value of the variable are reported. Standard errors are clustered by recipient country. P-values are shown in parentheses. *** p $<$ 0.01, ** p $<$ 0.05, * p $<$ 0.1.}
\end{tablenotes}
\end{threeparttable}
\end{table}%
\end{document}
Respuesta1
Siempre que utilice un bloque de página de tamaño razonable, la tabla y su leyenda deberían caber fácilmente dentro del bloque de texto disponible. (Si decide que puede prescindir de algunos de los regresores, los coeficientes de las cuatro regiones ficticias serían un lugar obvio para comenzar).
Como no utiliza ninguna \tnotedirectiva, usar el threeparttablepaquete y su tablenotesentorno parece excesivo.
Sin embargo, haga un esfuerzo para que el contenido de la tabla sea más legible. Comenzaría alineando los números de las cinco columnas de datos con sus respectivos marcadores decimales.
\documentclass{article}
%% (I've simplified the preamble to the bare minimum necessary to make the code compile.)
\usepackage[a4paper,margin=2.5cm]{geometry} % set page margins suitably
\usepackage{booktabs}
\usepackage[skip=0.333\baselineskip]{caption}
\usepackage{dcolumn}
\newcolumntype{d}[1]{D..{#1}}
\newcommand\mc[1]{\multicolumn{1}{c}{#1}} % handy shortcut macro
\begin{document}
\begin{table}[p!]
\caption{Aid and World Bank, 2000 to 2014} \label{tab:addlabel}
\setlength\tabcolsep{0pt} % make LaTeX figure out optimal intercolumn width
\begin{tabular*}{\textwidth}{@{\extracolsep{\fill}} l*{5}{d{2.6}} }
\toprule
& \mc{Model 1} & \mc{Model 2} & \mc{Model 3} & \mc{Model 4} & \mc{Model 5} \\
\midrule
Chinese Aid (log, $t{-}1$) & -0.1424^{***} & -0.1131^{***} \\
& (0.0000) & (0.0024) \\
Good Prac.Prin.\ (Dummy) & 0.6873 & 0.8687 & 0.5552 & 0.7876 & 0.695 \\
& (0.5431) & (0.4505) & (0.6312) & (0.4725) & (0.5214) \\
Avg.\ Project Size (log) & 0.4172 & 0.6363 & 0.3779 & 0.1865 & 0.1663 \\
& (0.3322) & (0.1126) & (0.3647) & (0.6648) & (0.7027) \\
Avg.\ Fields & 1.5570^{***}& 1.5497^{***}& 1.5732^{***}& 1.5931^{***}& 1.6233^{***} \\
& (0.0000) & (0.0000) & (0.0000) & (0.0000) & (0.0000) \\
CPI Growth ($t{-}1$) & -7.5936 & -7.2876 & -8.2161 & -7.7351 & -8.2952 \\
& (0.3689) & (0.3366) & (0.3299) & (0.3915) & (0.3694) \\
Investments (\% of GDP, $t{-}1$) & -0.0668^{*} & -0.0364 & -0.0753^{*} & -0.0507 & -0.0523 \\
& (0.0991) & (0.4197) & (0.0773) & (0.2374) & (0.2503) \\
Reserves (\% of GDP, $t{-}1$) & -0.0884^{***} & -0.0709^{**} & -0.0863^{***} & -0.0751^{**} & -0.0709^{**} \\
& (0.0033) & (0.0290) & (0.0038) & (0.0234) & (0.0338) \\
GDP per Capita (log, $t{-}1$) & 0.7252 & 0.4731 & 0.5588 & 1.0413^{**} & 0.9563^{**} \\
& (0.1020) & (0.3360) & (0.2047) & (0.0207) & (0.0381) \\
GDP Growth ($t{-}1$) & -0.106 & -0.0231 & -0.1121 & -0.1347^{*}& -0.1314 \\
& (0.1477) & (0.7351) & (0.1302) & (0.0842) & (0.1045) \\
Gov.\ Expd.\ (\% of GDP, $t{-}1$) & 0.1448^{*} & 0.1595^{**} & 0.1195 & 0.1132 & 0.0918 \\
& (0.0727) & (0.0416) & (0.1025) & (0.1996) & (0.3118) \\
Ext.\ Debt (\% of GDP, $t{-}1$) & 0.001 & 0.0002 & 0.0016 & 0.0048 & 0.0054 \\
& (0.8687) & (0.9772) & (0.8090) & (0.5287) & (0.4680) \\
FDI (\% of GDP, $t{-}1$) & 0.0568 & 0.0392 & 0.0661^{**} & 0.0372 & 0.04 \\
& (0.1127) & (0.2933) & (0.0454) & (0.2928) & (0.2731) \\
Tax Revenue (\% of GDP, $t{-}1$) & -0.1260^{**} & -0.1225^{*} & -0.1165^{**} & -0.1287^{**} & -0.1118^{**} \\
& (0.0126) & (0.0512) & (0.0308) & (0.0178) & (0.0393) \\
Monetary Expansion ($t{-}1$) & -0.0039 & 0.0116 & -0.0093 & -0.0017 & -0.0111 \\
& (0.8943) & (0.6468) & (0.7528) & (0.9562) & (0.7277) \\
Democracy ($t{-}1$) & -0.082 & -0.1152 & -0.0832 & -0.0921 & -0.0915 \\
& (0.2416) & (0.1405) & (0.2304) & (0.1783) & (0.2163) \\
UN Voting Aff.\ US ($t{-}1$) & -9.1826^{**} & 3.2082 & -9.4205^{**} & -7.2536^{*} & -6.8217^{*} \\
& (0.0159) & (0.5746) & (0.0133) & (0.0791) & (0.0993) \\
Trade US (log, $t{-}1$) & 0.0751 & -0.1155 & 0.0158 & 0.2594 & 0.2305 \\
& (0.7049) & (0.6675) & (0.9392) & (0.1910) & (0.2529) \\
Chinese ODA (log, $t{-}1$)& & & -0.1763^{***} \\
& & & (0.0000) \\
Chinese OOF (log, $t{-}1$)& -0.0916^{**} \\
& (0.0219) \\
Chinese Vague OF (log, $t{-}1$) & & -0.0157 \\
& & (0.7248) \\
Region Dummies:\\[0.5ex]
East Asia \& Pacific & & 0.5022 \\
& & (0.3760) \\
Europe \& Central Asia & & -1.0843^{**} \\
& & (0.0434) \\
Latin America \& Caribbean& & 0.5240^{*} \\
& & (0.0600) \\
Middle East \& South Asia & & -0.0568 \\
& & (0.8032) \\
\midrule
$N$ & \mc{253} & \mc{253} & \mc{253} & \mc{253} & \mc{253} \\
\bottomrule
\addlinespace
\end{tabular*}
Notes: The dependent variable measures the average number of prior actions per World Bank project received by a recipient country~$i$ in period~$t$, rounded to the closest integer. Marginal effects at the mean value of the variable are reported. Standard errors are clustered by recipient country.
$p$-values are shown in parentheses. Significance levels: $^{***}\ p < 0.01$, $^{**}\ p < 0.05$, $^{*} p < 0.1$.
\end{table}
\end{document}