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\usepackage{longtable}
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\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}
решение1
Если вы используете блок страницы разумного размера, таблица и ее легенда должны легко поместиться в доступном текстовом блоке. (Если вы решите, что можете обойтись без некоторых регрессоров, то коэффициенты четырех фиктивных переменных регионов будут очевидным местом для начала.)
Поскольку вы не используете никаких \tnoteдиректив, использование threeparttableпакета и его tablenotesокружения кажется излишним.
Однако постарайтесь сделать содержимое таблицы более читабельным. Я бы начал с выравнивания чисел в пяти столбцах данных по соответствующим им десятичным маркерам.
\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}