\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}
答案1
只要您使用合理大小的页面块，表格及其图例就应该很容易放入可用的文本块中。（如果您决定放弃一些回归量，那么四个区域虚拟变量的系数显然是可以入手的。）
由于您不使用任何\tnote指令，因此使用该threeparttable包及其tablenotes环境似乎有些过度。
不过，请努力使表格内容更易读。我首先将五个数据列中的数字与各自的小数点对齐。
\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}