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% Table generated by Excel2LaTeX from sheet 'table1'
\begin{table}[htbp]
\begin{threeparttable}
\small\addtolength{\tabcolsep}{-3pt}
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\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}
Antwort1
Solange Sie einen Seitenblock angemessener Größe verwenden, sollten die Tabelle und ihre Legende problemlos in den verfügbaren Textblock passen. (Wenn Sie sich dazu entschließen, auf einige der Regressoren zu verzichten, wären die Koeffizienten der vier Regions-Dummys ein naheliegender Ausgangspunkt.)
Da Sie keine \tnoteAnweisungen verwenden, erscheint die Verwendung des threeparttablePakets und seiner Umgebung übertrieben.tablenotes
Versuchen Sie jedoch, den Inhalt der Tabelle lesbarer zu gestalten. Ich würde damit beginnen, die Zahlen in den fünf Datenspalten an ihren jeweiligen Dezimaltrennzeichen auszurichten.
\documentclass{article}
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\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}