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缩小表格

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缩小表格

我正在撰写论文，有相当长的回归表，这意味着我只能在一页上放进有限的文本空间。有没有办法将表格移到页面上方并缩小它，以便放进更多的解释性文字？

\documentclass[11pt]{article}
\usepackage[utf8]{inputenc}
\usepackage[T1]{fontenc}
\usepackage{amsmath,amsfonts,amssymb}
\usepackage{booktabs}
\usepackage{dcolumn}
\usepackage{mathtools}
\usepackage{graphicx}
\usepackage[utf8]{inputenc}
\usepackage{rotating}
\usepackage{adjustbox}
\usepackage{tabularx}
\usepackage[margin=35mm]{geometry}
\usepackage{titlesec}
\usepackage{siunitx}                        % added
\usepackage{threeparttable}   
\newcommand\mc[1]{\multicolumn{1}{c}{#1}}    
\titleformat*{\subsection}{\normalfont\large\itshape}
\makeatletter
\renewcommand\footnoterule{
\kern-3\p@
\hrule\@width \textwidth
\kern2.6\p@}
\makeatother



\usepackage{rotating}
\begin{document}

\section{Results}\label{Results}

\subsection{Objective 1}

\begin{table}[htbp]\centering
\def\sym#1{\ifmmode^{#1}\else\(^{#1}\)\fi}
\caption{Investment on Bribes: Pooled Sample table\label{tab1}}
\begin{tabular*}{0.7\columnwidth}{@{\hskip\tabcolsep\extracolsep\fill}l*{1}
{D{.}{.}{-1}}}
\toprule
                &\multicolumn{1}{c}{(1)}\\
                &\multicolumn{1}{c}{ln\_invest}\\
\midrule
Bribes&     0.008         \\
                &    (0.0136)         \\
\addlinespace
Medium(20-99)       &       0.529         \\
                &     (0.267)         \\
\addlinespace
Large(100 and over) &       2.171\sym{***}\\
                &     (0.460)         \\
\addlinespace
Government             &       0.427         \\
                &     (0.435)         \\
\addlinespace
Foreign               &      -0.337         \\
                &     (0.257)         \\
\addlinespace
Fincons            &       0.107         \\
                &     (0.154)         \\
\addlinespace
Court              &      -0.168         \\
                &     (0.148)         \\
\addlinespace
lnAge               &      0.069         \\
                &     (0.242)         \\
\addlinespace
Constant            &       9.976\sym{***}\\
                &     (0.574)         \\
                \addlinespace
 Year Dummies   & \multicolumn{1}{c}{YES}\\
        \addlinespace
        Industry Dummies & \multicolumn{1}{c}{YES}\\
        \addlinespace
        Missing Year Dummy  & \multicolumn{1}{c}{YES}\\
        \addlinespace
\midrule
Observations        &    \multicolumn{1}{c}{6417}           \\
\bottomrule
        \multicolumn{2}{l}{\footnotesize \sym{*} \(p<0.05\), \sym{**} \(p<0.01\), 
            \sym{***} \(p<0.001\)}\\
        \multicolumn{2}{l}{\footnotesize Note: Robust standard errors in 
parentheses, clustered by Country}\\
    \end{tabular*}
\end{table}

    The first model estimated, as shown in T, is the most basic form of the mechanism investigated. When controlling for industry and year effects, I find a positive relationship between corruption and bribery, although this result is statistically not significant. Results suggest that for a $1\%$ increase in bribe, this increases ln\_invest by 0.8 percentage points. This positive relationship contradicts our initial hypothesis of bribery
\end{document}

在此处输入图片描述

答案1

在此处输入图片描述

\documentclass[11pt]{article}
\usepackage[utf8]{inputenc}
\usepackage[T1]{fontenc}
\usepackage{amsmath,amsfonts,amssymb}
\usepackage{booktabs}
\usepackage{dcolumn}
\usepackage{mathtools}
\usepackage{graphicx}
\usepackage[utf8]{inputenc}
\usepackage{rotating}
\usepackage{adjustbox}
\usepackage{tabularx}
\usepackage[margin=35mm]{geometry}
\usepackage{titlesec}
\usepackage{siunitx}                        % added
\usepackage{threeparttable}   
\newcommand\mc[1]{\multicolumn{1}{c}{#1}}    
\titleformat*{\subsection}{\normalfont\large\itshape}
\makeatletter
\renewcommand\footnoterule{
\kern-3\p@
\hrule\@width \textwidth
\kern2.6\p@}
\makeatother



\usepackage{rotating}
\begin{document}

\section{Results}\label{Results}

\subsection{Objective 1}

\begin{table}[htbp]\centering
\def\sym#1{\ifmmode^{#1}\else\(^{#1}\)\fi}
\caption{Investment on Bribes: Pooled Sample table\label{tab1}}
\begin{tabular*}{0.7\columnwidth}{@{\hskip\tabcolsep\extracolsep\fill}l*{2}
{D{.}{.}{-1}}}
\toprule
                \multicolumn{3}{c}{(1)}\\
                &\multicolumn{2}{c}{ln\_invest}\\
\midrule
Bribes&     0.008                  &    (0.0136)         \\
Medium(20-99)       &       0.529                  &     (0.267)         \\
Large(100 and over) &       2.171\sym{***}                &     (0.460)         \\
Government             &       0.427                  &     (0.435)         \\
Foreign               &      -0.337                  &     (0.257)         \\
Fincons            &       0.107                     &     (0.154)         \\
Court              &      -0.168                     &     (0.148)         \\
lnAge               &      0.069                     &     (0.242)         \\
Constant            &       9.976\sym{***}                &     (0.574)         \\
                \addlinespace
 Year Dummies   & \multicolumn{2}{c}{YES}\\
        Industry Dummies & \multicolumn{2}{c}{YES}\\
        Missing Year Dummy  & \multicolumn{2}{c}{YES}\\
\midrule
Observations        &    \multicolumn{1}{c}{6417}           \\
\bottomrule
        \multicolumn{3}{l}{\footnotesize \sym{*} \(p<0.05\), \sym{**} \(p<0.01\), 
            \sym{***} \(p<0.001\)}\\
        \multicolumn{3}{l}{\footnotesize Note: Robust standard errors in 
parentheses, clustered by Country}\\
    \end{tabular*}
\end{table}

    The first model estimated, as shown in T, is the most basic form of the mechanism investigated. When controlling for industry and year effects, I find a positive relationship between corruption and bribery, although this result is statistically not significant. Results suggest that for a $1\%$ increase in bribe, this increases ln\_invest by 0.8 percentage points. This positive relationship contradicts our initial hypothesis of bribery
\end{document}

答案2

在此处输入图片描述

差额大卫·卡莱尔答案是，我利用包threeparttable和siunitx，不使用任何 OP 定义（我不清楚它们的用途），稍微更改\mc表中使用的定义，并从序言中仅保留表中使用的包：

\documentclass[11pt]{article}
\usepackage[margin=35mm]{geometry}

\usepackage[utf8]{inputenc}
\usepackage[T1]{fontenc}

%\usepackage{mathtools,amsfonts,amssymb}
\usepackage{booktabs, threeparttable}
\newcommand\mc[1]{\multicolumn{2}{c}{#1}}% <-- changed
\usepackage{siunitx}                        

\begin{document}
    \begin{center}
\begin{threeparttable}[htb]
    \caption{Investment on Bribes: Pooled Sample table}
     \label{tab1}
\sisetup{ table-space-text-pre ={(},
          table-space-text-post={\textsuperscript{***}},
          table-align-text-pre=false,
          table-align-text-post=false,
          explicit-sign,
          input-open-uncertainty={[},
          input-close-uncertainty={]}
          }
\begin{tabular*}{0.6\linewidth}{l S[table-format=-1.4] S[table-format=1.4]}
\toprule
                    &   \mc{(1)}            \\ 
                    &   \mc{ln\_invest}     \\
\midrule
Bribes              &   0.008               
                    &   (0.0136)            \\
Medium(20-99)       &   0.529               
                    &   (0.267)             \\
Large(100 and over) &   2.171\tnote{***}    
                    &   (0.460)             \\
Government          &   0.427               
                    &   (0.435)             \\
Foreign             &   -0.337              
                    &   (0.257)             \\
Fincons             &   0.107               \\
                    &   (0.154)             \\
Court               &   -0.168              
                    &   (0.148)             \\
lnAge               &   0.069               
                    &   (0.242)             \\
Constant            &   9.976\tnote{***}    
                    &   (0.574)             \\    
Year Dummies        &   \mc{YES}            \\  
Industry Dummies    &   \mc{YES}            \\
Missing Year Dummy  &   \mc{YES}            \\
\midrule
Observations        &   \mc{6417}           \\
\bottomrule
    \end{tabular*}\scriptsize\raggedright\smallskip
    \begin{tablenotes}[para, flushleft]
    \item[*]    \(p<0.1\)
    \item[**]   \(p<0.01\)
    \item[***]  \(p<0.001\)
    \end{tablenotes}
     Note: Robust standard errors in parentheses, clustered by Country
\end{threeparttable}
    \end{center}
The first model estimated, as shown in T, is the most basic form of the mechanism investigated. When controlling for industry and year effects, I find a positive relationship between corruption and bribery, although this result is statistically not significant. Results suggest that for a $1\%$ increase in bribe, this increases ln\_invest by 0.8 percentage points. This positive relationship contradicts our initial hypothesis of bribery
\end{document}

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