有没有建议修复 R 软件中超出 12pts 文档类边距的 Tex 表
这是我的代码和输出:
\documentclass[12pt]{article}
\usepackage{geometry}
\geometry{a4paper,left=15mm,right=15mm, top=1cm, bottom=2cm}
\usepackage[USenglish]{babel}
\usepackage{natbib}
\usepackage{graphicx}
\usepackage{color}
\usepackage{multicol}
\usepackage{setspace}
\usepackage{varioref}
\usepackage{booktabs}
\usepackage{xfrac}
\usepackage{longtable}
\usepackage{microtype}
\usepackage[hang, small,labelfont=bf,up,textfont=it,up]{caption}
\usepackage{booktabs}
\usepackage{float}
\usepackage{amsfonts}
\usepackage{amsmath}
\usepackage{fancyhdr}
\usepackage[utf8]{inputenc}
\usepackage{amsmath}
\usepackage{amsfonts}
\usepackage{amssymb}
\begin{document}
\begin{table}[!htbp] \centering
\caption{Linear Mixed Effects Regression Results}
\label{tb:lme-main}
\tiny
\begin{tabular}{@{\extracolsep{0.01pt}}lcccccc}
\\[-1.8ex]\hline
\hline \\[-1.8ex]
& \multicolumn{6}{c}{\textit{Dependent variable:}} \\
\cline{2-7}
& KAI-BASE & KAI-MSCI & KAI-RATINGS & KAO-BASE & KAO-MSCI & KAO-RATINGS \\
\\[-1.8ex] & (1) & (2) & (3) & (4) & (5) & (6)\\
\hline \\[-1.8ex]
Log Volatility (ARIMA, lag, baseline) & $-$0.003 & $-$0.006 & 0.019 & 0.030$^{*}$ & 0.040$^{*}$ & 0.068$^{**}$ \\
& (0.013) & (0.016) & (0.020) & (0.013) & (0.017) & (0.021) \\
Mean KAI: MSCI Peers (low, spatial lag) & & 0.031 & & & & \\
& & (0.071) & & & & \\
Mean KAI: MSCI Peers (medium, spatial lag) & & 0.0003 & & & & \\
& & (0.080) & & & & \\
Mean KAI: Ratings Peers (low, spatial lag) & & & 0.028 & & & \\
& & & (0.040) & & & \\
Mean KAI: Ratings Peers (medium, spatial lag) & & & 0.010 & & & \\
& & & (0.033) & & & \\
msci\_kao\_tercile\_low & & & & & 0.055 & \\
& & & & & (0.063) & \\
msci\_kao\_tercile\_med & & & & & $-$0.015 & \\
& & & & & (0.072) & \\
Mean KAO: MSCI Peers (low, spatial lag) & & & & & & 0.079$^{+}$ \\
& & & & & & (0.041) \\
Mean KAO: MSCI Peers (medium, spatial lag) & & & & & & 0.084$^{*}$ \\
& & & & & & (0.035) \\
Mean KAO: Ratings Peers (low, spatial lag) & 0.131$^{***}$ & 0.141$^{***}$ & 0.123$^{**}$ &
0.246$^{***}$ & 0.247$^{***}$ & 0.204$^{***}$ \\
& (0.036) & (0.038) & (0.038) & (0.048) & (0.048) & (0.048) \\
Mean KAO: Ratings Peers (medium, spatial lag) & $-$0.261$^{***}$ & $-$0.265$^{***}$ & $-$0.276$^{***}$ & $-$0.464$^{***}$ & $-$0.449$^{***}$ & $-$0.447$^{***}$ \\
& (0.052) & (0.053) & (0.056) & (0.065) & (0.065) & (0.068) \\
log(trade\_open\_lag) & $-$0.143$^{***}$ & $-$0.116$^{**}$ & $-$0.148$^{**}$ & $-$0.138$^{**}$ & $-$0.118$^{*}$ & $-$0.153$^{**}$ \\
& (0.040) & (0.043) & (0.046) & (0.043) & (0.047) & (0.049) \\
inflation\_lag & 0.001$^{***}$ & 0.001$^{***}$ & 0.0004$^{**}$ & 0.001$^{***}$ & 0.001$^{***}$ & 0.001$^{***}$ \\
& (0.0001) & (0.0001) & (0.0002) & (0.0002) & (0.0002) & (0.0002) \\
Log Volatility (ARIMA, lag) x MSCI Peers (low KAI) & & & & & $-$0.023 & \\
& & & & & (0.033) & \\
Log Volatility (ARIMA, lag) x MSCI Peers (medium KAI) & & & & & 0.005 & \\
& & & & & (0.040) & \\
Log Volatility (ARIMA, lag) x Ratings Peers (low KAI) & & & & & & $-$0.060$^{*}$ \\
& & & & & & (0.030) \\
Log Volatility (ARIMA, lag) x Ratings Peers (medium KAI) & & & & & & $-$0.051$^{*}$ \\
& & & & & & (0.026) \\
Log Volatility (ARIMA, lag) x MSCI Peers (low KAO) & $-$0.112 & $-$0.483 & 0.200 &
$-$1.433 & $-$1.694$^{+}$ & $-$0.482 \\
& (0.733) & (0.778) & (0.819) & (0.933) & (0.955) & (1.030) \\
Log Volatility (ARIMA, lag) x MSCI Peers (medium KAO) & 0.001$^{+}$ & 0.002$^{*}$ & 0.001 & 0.001 & 0.001 & $-$0.001 \\
& (0.001) & (0.001) & (0.001) & (0.001) & (0.001) & (0.001) \\
Log Volatility (ARIMA, lag) x Ratings Peers (low KAO) & $-$0.032 & $-$0.021 & $-$0.001 & $-$0.060$^{*}$ & $-$0.051$^{*}$ & $-$0.033 \\
& (0.024) & (0.024) & (0.027) & (0.025) & (0.026) & (0.028) \\
Log Volatility (ARIMA, lag) x Ratings Peers (medium KAO) & $-$0.007$^{+}$ &
$-$0.006$^{+}$ & $-$0.006 & 0.005 & 0.004 & 0.004 \\
& (0.004) & (0.004) & (0.004) & (0.004) & (0.004) & (0.004) \\
Log Constant GDP (2010 USDB, lag) & 0.005 & 0.006 & 0.008 & 0.007 & 0.008$^{+}$ & 0.011$^{*}$ \\
& (0.004) & (0.004) & (0.005) & (0.005) & (0.005) & (0.005) \\
Log Constant GDP per capita (2010 USD, lag) & & 0.030 & & & & \\
& & (0.033) & & & & \\
Trade (\% of GDP, log, lag) & & 0.028 & & & & \\
& & (0.036) & & & & \\
Inflation (annual \%, lag) & & & $-$0.049$^{+}$ & & & \\
& & & (0.029) & & & \\
Real Interest Rate (\%, lag) & & & $-$0.028 & & & \\
& & & (0.025) & & & \\
\hline \\[-1.8ex]
Varying Intercept: Country & Yes & Yes & Yes & Yes & Yes & Yes \\
Varying Intercept: Year & Yes & Yes & Yes & Yes & Yes & Yes \\
Number of Countries & 25 & 25 & 25 & 25 & 25 & 25 \\
Number of Years & 21 & 20 & 20 & 21 & 20 & 20 \\
Observations & 418 & 410 & 377 & 418 & 410 & 377 \\
Log Likelihood & 155.597 & 153.257 & 126.733 & 130.218 & 123.183 & 106.594 \\
Akaike Inf. Crit. & $-$285.195 & $-$272.513 & $-$219.467 & $-$234.435 & $-$212.366 & $-$179.187 \\
Bayesian Inf. Crit. & $-$232.734 & $-$204.239 & $-$152.618 & $-$181.974 & $-$144.091 & $-$112.339 \\
\hline
\hline \\[-1.8ex]
\textit{Note:} & \multicolumn{6}{r}{In the interaction models, the first row presents results for which peers’ capital inflow/outflow restrictions are high. Standard errors in parentheses. $^{+}$p$<$0.1; $^{*}$p$<$0.05; $^{**}$p$<$0.01; $^{***}$p$<$0.001} \\
\end{tabular}
\end{table}
\end{document}
答案1
写表格是一项艰巨的任务......
在您的表格中,我将使用在包S
中定义的列类型来表示带数字的列siunitx
,使用利用bootkabs
包来表示水平规则(您加载两次!),并将第一列中的长文本根据需要拆分为两行。这样可以为其他列提供更多空间,因此可以在表格中使用\small
字体大小。
对于表格我会使用tabularray
包,因为表格很大我会把它格式化为长表,对于表格注释使用tabularray
语法:
\documentclass[12pt]{article}
\usepackage[a4paper,
hmargin=15mm, vmargin={1cm,2cm}]{geometry}
%---------------- Show page layout. Don't use in a real document!
\usepackage{showframe}
\renewcommand\ShowFrameLinethickness{0.15pt}
\renewcommand*\ShowFrameColor{\color{red}}
%---------------------------------------------------------------%
\usepackage[USenglish]{babel}
\usepackage{microtype}
\usepackage[hang, font=small,
labelfont=bf,textfont=it]{caption}
\usepackage{tabularray}
\UseTblrLibrary{booktabs, siunitx}
\NewTableCommand\SCR{\SetCell[r=2]{font=\footnotesize\linespread{0.84}\selectfont}}
\sisetup{
input-open-uncertainty =,
input-close-uncertainty=,
table-align-text-after=false,
table-align-text-before=false
}
\ExplSyntaxOn
\NewChildSelector{eachtwo}
{
\int_step_inline:nnnn {5}{2}{\l_tblr_childs_total_tl}
{ \clist_put_right:Nn \l_tblr_childs_clist {##1} }
}
\ExplSyntaxOff
\begin{document}
%\small
\begin{longtblr}[
caption = {Linear Mixed Effects Regression Results},
label = {tb:lme-main},
note{} = {In the interaction models, the first row presents results for which peers’
capital inflow/outflow restrictions are high. Standard errors in parentheses.\newline
$^{+}:\ p<0.1$; \quad
$^{*}:\ p<0.05$;\quad
$^{**}:\ p<0.01$;\quad
$^{***}:\ p<0.001$.}
]{rowhead= 4,
colsep = 3pt,
colspec = {@{} X[l] *{6}{Q[c, si={table-format=-1.4{\TblrNote{***}}}]} @{}},
row{5-Z} = {rowsep=0pt},
row{eachtwo} = {abovesep=4pt},
rows = {font=\small}
}
\toprule
& \SetCell[c=6]{c} {{{\textit{Dependent variable:}}}}
& & & & & \\
\cline{2-7}
& \SetCell[c=3]{c} KAI
& & & \SetCell[c=3]{c} KAO
& & \\
\cmidrule[r]{2-4} \cmidrule[l]{5-7}
& {{{BASE}}} & {{{MSCI}}} & {{{RATINGS}}} & {{{BASE}}} & {{{MSCI}}} & {{{RATINGS}}} \\
& {{{(1)}}} & {{{(2)}}} & {{{(3)}}} & {{{(4)}}} & {{{(5)}}} & {{{(6)}}} \\
\midrule
Log Volatility (ARIMA, lag, baseline)
& -0.003 & -0.006 & 0.019 & 0.030\TblrNote{*}
& 0.040\TblrNote{*}
& 0.068\TblrNote{*} \\
& (0.013) & (0.016) & (0.020) & (0.013) & (0.017) & (0.021) \\
Mean KAI: MSCI Peers (low, spat. lag)
& & 0.031 & & & & \\
& & (0.071) & & & & \\
Mean KAI: MSCI Peers (medium, spat. lag)
& & 0.0003 & & & & \\
& & (0.080) & & & & \\
Mean KAI: Ratings Peers (low, spat. lag)
& & & 0.028 & & & \\
& & & (0.040) & & & \\
Mean KAI: Ratings Peers (medium, spat. lag)
& & & 0.010 & & & \\
& & & (0.033) & & & \\
msci\_kao\_tercile\_low
& & & & & 0.055 & \\
& & & & & (0.063) & \\
msci\_kao\_tercile\_med
& & & & & -0.015 & \\
& & & & & (0.072) & \\
Mean KAO: MSCI Peers (low, spat. lag)
& & & & & & 0.079\TblrNote{+} \\
& & & & & & (0.041) \\
Mean KAO: MSCI Peers (medium, spat. lag)
& & & & & & 0.084\TblrNote{*} \\
& & & & & & (0.035) \\
Mean KAO: Ratings Peers (low, spat. lag)
& 0.131\TblrNote{***}
& 0.141\TblrNote{***}
& 0.123\TblrNote{**}
& 0.246\TblrNote{***}
& 0.247\TblrNote{***}
& 0.204\TblrNote{***} \\
& (0.036) & (0.038) & (0.038) & (0.048) & (0.048) & (0.048) \\
\SCR {Mean KAO: Ratings Peers\\ (medium, spat. lag)}
& -0.261\TblrNote{***}
& -0.265\TblrNote{***}
& -0.276\TblrNote{***}
& -0.464\TblrNote{***}
& -0.449\TblrNote{***}
& -0.447\TblrNote{***}\\
& (0.052) & (0.053) & (0.056) & (0.065) & (0.065) & (0.068) \\
log(trade\_open\_lag)
& -0.143\TblrNote{***}
& -0.116\TblrNote{**}
& -0.148\TblrNote{**}
& -0.138\TblrNote{**}
& -0.118\TblrNote{*}
& -0.153\TblrNote{**} \\
& (0.040) & (0.043) & (0.046) & (0.043) & (0.047) & (0.049) \\
inflation\_lag
& 0.001\TblrNote{***}
& 0.001\TblrNote{***}
& 0.0004\TblrNote{**}
& 0.001\TblrNote{***}
& 0.001\TblrNote{***}
& 0.001\TblrNote{***} \\
& (0.0001) & (0.0001) & (0.0002) & (0.0002) & (0.0002) & (0.0002) \\
\SCR {Log Volatility (ARIMA, lag)\\ \qquad$\times$ MSCI Peers (low KAI)}
& & & & & -0.023 & \\*
& & & & & (0.033) & \\
\SCR {Log Volatility (ARIMA, lag)\\ \qquad$\times$ MSCI Peers (medium KAI)}
& & & & & 0.005 & \\*
& & & & & (0.040) & \\
\SCR {Log Volatility (ARIMA, lag)\\ \qquad$\times$ Ratings Peers (low KAI)}
& & & & & & -0.060\TblrNote{*} \\*
& & & & & & (0.030) \\
\SCR {Log Volatility (ARIMA, lag)\\ \qquad$\times$ Ratings Peers (medium KAI)}
& & & & & & -0.051\TblrNote{*} \\*
& & & & & & (0.026) \\
\SCR {Log Volatility (ARIMA, lag)\\ \qquad$\times$ MSCI Peers (low KAO)}
& -0.112 & -0.483 & 0.200 & -1.433 & -1.694\TblrNote{+}
& -0.482 \\*
& (0.733) & (0.778) & (0.819) & (0.933) & (0.955) & (1.030) \\
\SCR {Log Volatility (ARIMA, lag)\\ \qquad$\times$ MSCI Peers (medium KAO)}
& 0.001\TblrNote{+}
& 0.002\TblrNote{*}
& 0.001 & 0.001 & 0.001 & -0.001 \\*
& (0.001) & (0.001) & (0.001) & (0.001) & (0.001) & (0.001) \\
\SCR {Log Volatility (ARIMA, lag)\\ \qquad$\times$ Ratings Peers (low KAO)}
& -0.032 & -0.021 & -0.001 & -0.060\TblrNote{*}
& -0.051\TblrNote{*}
& -0.033 \\*
& (0.024) & (0.024) & (0.027) & (0.025) & (0.026) & (0.028) \\
\SCR {Log Volatility (ARIMA, lag)\\ \qquad$\times$ Ratings Peers (medium KAO)}
& -0.007\TblrNote{+}
& -0.006\TblrNote{+}
& -0.006 & 0.005 & 0.004 & 0.004 \\*
& (0.004) & (0.004) & (0.004) & (0.004) & (0.004) & (0.004) \\
Log Constant GDP (2010 USDB, lag)
& 0.005 & 0.006 & 0.008 & 0.007 & 0.008\TblrNote{+}
& 0.011\TblrNote{*} \\
& (0.004) & (0.004) & (0.005) & (0.005) & (0.005) & (0.005) \\
Log Constant GDP per capita (2010 USD, lag)
& & 0.030 & & & & \\
& & (0.033) & & & & \\
Trade (\% of GDP, log, lag)
& & 0.028 & & & & \\
& & (0.036) & & & & \\
Inflation (annual \%, lag)
& & & -0.049\TblrNote{+}& & & \\
& & & (0.029) & & & \\
Real Interest Rate (\%, lag)
& & & -0.028 & & & \\
& & & (0.025) & & & \\
\midrule
Varying Intercept: Country
& {{{Yes}}} & {{{Yes}}} & {{{Yes}}} & {{{Yes}}} & {{{Yes}}} & {{{Yes}}} \\
Varying Intercept: Year
& {{{Yes}}} & {{{Yes}}} & {{{Yes}}} & {{{Yes}}} & {{{Yes}}} & {{{Yes}}} \\
Number of Countries
& {{{25}}} & {{{25}}} & {{{25}}} & {{{25}}} & {{{25}}} & {{{25}}} \\
Number of Years
& {{{21}}} & {{{20}}} & {{{20}}} & {{{21}}} & {{{20}}} & {{{20}}} \\
Observations
& {{{418}}} & {{{410}}} & {{{377}}} & {{{418}}} & {{{410}}} & {{{377}}} \\
Log Likelihood
& {{{155.597}}} & {{{153.257}}} & {{{126.733}}}
& {{{130.218}}} & {{{123.183}}} & {{{106.594}}} \\
Akaike Inf. Crit.
& {{{-285.195}}} & {{{-272.513}}} & {{{-219.467}}}
& {{{-234.435}}} & {{{-212.366}}} & {{{-179.187}}} \\
Bayesian Inf. Crit.
& {{{-232.734}}} & {{{-204.239}}} & {{{-152.618}}}
& {{{-181.974}}} & {{{-144.091}}} & {{{-112.339}}} \\
\bottomrule
\end{longtblr}
\end{document}
答案2
您可以使用来threeparttable
修复它,因为主要问题是由于最后一行注释导致的最后一列跨越。
\documentclass[12pt]{article}
\usepackage{geometry}
\geometry{a4paper,left=15mm,right=15mm, top=1cm, bottom=2cm}
\usepackage[USenglish]{babel}
\usepackage{natbib}
\usepackage{graphicx}
\usepackage{color}
\usepackage{multicol}
\usepackage{setspace}
\usepackage{varioref}
\usepackage{booktabs}
\usepackage{xfrac}
\usepackage{longtable}
\usepackage{microtype}
\usepackage[hang, small,labelfont=bf,up,textfont=it,up]{caption}
\usepackage{booktabs}
\usepackage{float}
\usepackage{amsfonts}
\usepackage{amsmath}
\usepackage{fancyhdr}
\usepackage[utf8]{inputenc}
\usepackage{amsmath}
\usepackage{amsfonts}
\usepackage{amssymb}
\usepackage{threeparttable}% <-- new
\begin{document}
\begin{threeparttable}[!htbp] \centering
\caption{Linear Mixed Effects Regression Results}
\label{tb:lme-main}
\tiny
\setlength{\tabcolsep}{4pt}% <-- set column seperation
\begin{tabular}{@{\extracolsep{0.01pt}}lcccccc}
\\[-1.8ex]\hline
\hline \\[-1.8ex]
& \multicolumn{6}{c}{\textit{Dependent variable:}} \\
\cline{2-7}
& KAI-BASE & KAI-MSCI & KAI-RATINGS & KAO-BASE & KAO-MSCI & KAO-RATINGS \\
\\[-1.8ex] & (1) & (2) & (3) & (4) & (5) & (6)\\
\hline \\[-1.8ex]
Log Volatility (ARIMA, lag, baseline) & $-$0.003 & $-$0.006 & 0.019 & 0.030$^{*}$ & 0.040$^{*}$ & 0.068$^{**}$ \\
& (0.013) & (0.016) & (0.020) & (0.013) & (0.017) & (0.021) \\
Mean KAI: MSCI Peers (low, spatial lag) & & 0.031 & & & & \\
& & (0.071) & & & & \\
Mean KAI: MSCI Peers (medium, spatial lag) & & 0.0003 & & & & \\
& & (0.080) & & & & \\
Mean KAI: Ratings Peers (low, spatial lag) & & & 0.028 & & & \\
& & & (0.040) & & & \\
Mean KAI: Ratings Peers (medium, spatial lag) & & & 0.010 & & & \\
& & & (0.033) & & & \\
msci\_kao\_tercile\_low & & & & & 0.055 & \\
& & & & & (0.063) & \\
msci\_kao\_tercile\_med & & & & & $-$0.015 & \\
& & & & & (0.072) & \\
Mean KAO: MSCI Peers (low, spatial lag) & & & & & & 0.079$^{+}$ \\
& & & & & & (0.041) \\
Mean KAO: MSCI Peers (medium, spatial lag) & & & & & & 0.084$^{*}$ \\
& & & & & & (0.035) \\
Mean KAO: Ratings Peers (low, spatial lag) & 0.131$^{***}$ & 0.141$^{***}$ & 0.123$^{**}$ &
0.246$^{***}$ & 0.247$^{***}$ & 0.204$^{***}$ \\
& (0.036) & (0.038) & (0.038) & (0.048) & (0.048) & (0.048) \\
Mean KAO: Ratings Peers (medium, spatial lag) & $-$0.261$^{***}$ & $-$0.265$^{***}$ & $-$0.276$^{***}$ & $-$0.464$^{***}$ & $-$0.449$^{***}$ & $-$0.447$^{***}$ \\
& (0.052) & (0.053) & (0.056) & (0.065) & (0.065) & (0.068) \\
log(trade\_open\_lag) & $-$0.143$^{***}$ & $-$0.116$^{**}$ & $-$0.148$^{**}$ & $-$0.138$^{**}$ & $-$0.118$^{*}$ & $-$0.153$^{**}$ \\
& (0.040) & (0.043) & (0.046) & (0.043) & (0.047) & (0.049) \\
inflation\_lag & 0.001$^{***}$ & 0.001$^{***}$ & 0.0004$^{**}$ & 0.001$^{***}$ & 0.001$^{***}$ & 0.001$^{***}$ \\
& (0.0001) & (0.0001) & (0.0002) & (0.0002) & (0.0002) & (0.0002) \\
Log Volatility (ARIMA, lag) x MSCI Peers (low KAI) & & & & & $-$0.023 & \\
& & & & & (0.033) & \\
Log Volatility (ARIMA, lag) x MSCI Peers (medium KAI) & & & & & 0.005 & \\
& & & & & (0.040) & \\
Log Volatility (ARIMA, lag) x Ratings Peers (low KAI) & & & & & & $-$0.060$^{*}$ \\
& & & & & & (0.030) \\
Log Volatility (ARIMA, lag) x Ratings Peers (medium KAI) & & & & & & $-$0.051$^{*}$ \\
& & & & & & (0.026) \\
Log Volatility (ARIMA, lag) x MSCI Peers (low KAO) & $-$0.112 & $-$0.483 & 0.200 &
$-$1.433 & $-$1.694$^{+}$ & $-$0.482 \\
& (0.733) & (0.778) & (0.819) & (0.933) & (0.955) & (1.030) \\
Log Volatility (ARIMA, lag) x MSCI Peers (medium KAO) & 0.001$^{+}$ & 0.002$^{*}$ & 0.001 & 0.001 & 0.001 & $-$0.001 \\
& (0.001) & (0.001) & (0.001) & (0.001) & (0.001) & (0.001) \\
Log Volatility (ARIMA, lag) x Ratings Peers (low KAO) & $-$0.032 & $-$0.021 & $-$0.001 & $-$0.060$^{*}$ & $-$0.051$^{*}$ & $-$0.033 \\
& (0.024) & (0.024) & (0.027) & (0.025) & (0.026) & (0.028) \\
Log Volatility (ARIMA, lag) x Ratings Peers (medium KAO) & $-$0.007$^{+}$ &
$-$0.006$^{+}$ & $-$0.006 & 0.005 & 0.004 & 0.004 \\
& (0.004) & (0.004) & (0.004) & (0.004) & (0.004) & (0.004) \\
Log Constant GDP (2010 USDB, lag) & 0.005 & 0.006 & 0.008 & 0.007 & 0.008$^{+}$ & 0.011$^{*}$ \\
& (0.004) & (0.004) & (0.005) & (0.005) & (0.005) & (0.005) \\
Log Constant GDP per capita (2010 USD, lag) & & 0.030 & & & & \\
& & (0.033) & & & & \\
Trade (\% of GDP, log, lag) & & 0.028 & & & & \\
& & (0.036) & & & & \\
Inflation (annual \%, lag) & & & $-$0.049$^{+}$ & & & \\
& & & (0.029) & & & \\
Real Interest Rate (\%, lag) & & & $-$0.028 & & & \\
& & & (0.025) & & & \\
\hline \\[-1.8ex]
Varying Intercept: Country & Yes & Yes & Yes & Yes & Yes & Yes \\
Varying Intercept: Year & Yes & Yes & Yes & Yes & Yes & Yes \\
Number of Countries & 25 & 25 & 25 & 25 & 25 & 25 \\
Number of Years & 21 & 20 & 20 & 21 & 20 & 20 \\
Observations & 418 & 410 & 377 & 418 & 410 & 377 \\
Log Likelihood & 155.597 & 153.257 & 126.733 & 130.218 & 123.183 & 106.594 \\
Akaike Inf. Crit. & $-$285.195 & $-$272.513 & $-$219.467 & $-$234.435 & $-$212.366 & $-$179.187 \\
Bayesian Inf. Crit. & $-$232.734 & $-$204.239 & $-$152.618 & $-$181.974 & $-$144.091 & $-$112.339 \\
\hline
\hline
\end{tabular}
\begin{tablenotes}% <-- this is the trick
\item[] \textit{Note}: In the interaction models, the first row presents results for which peers’ capital inflow/outflow restrictions are high. Standard errors in parentheses. $^{+}$p$<$0.1; $^{*}$p$<$0.05; $^{**}$p$<$0.01; $^{***}$p$<$0.001.
\end{tablenotes}
\end{threeparttable}
\end{document}
除此之外,稍微设置一下列间距以适合页面。
让表格看起来正确总是一件很乏味的事。通常需要手动调整。