我试图使面板 B 中“预测变量”下的两列宽度相等。
我查看了其他在线问题。我尝试使用,tabularx
但没有用。
有人可以帮帮我吗?
以下是我的代码。
\documentclass[12pt]{article} %It can be article / report / and book
\usepackage{amssymb} %One of the math packages
\usepackage[top=1.3in, bottom=1.3in, left=1in, right=1in]{geometry}
\usepackage{setspace}
\usepackage{tabu}
\usepackage{pgflibrarysnakes}
\usepackage{graphics,graphicx,pgfplots,rotating,multirow}
\usepackage{xcolor}
\usepackage{amssymb,amsfonts,amsmath}
\usepackage{color,colortbl}
\usetikzlibrary{snakes}
%\usepackage{ltablex}
\usepackage{caption}
\usepackage{subcaption}
% Footnote space
\usepackage{lipsum}% dummy text
\begin{table}
\caption{Predicting Ex Post Covariances between between Stock Returns and Consumption Growth} \label{Tab6}
\vspace{0.3in}
\begin{spacing}{0.8}
{\footnotesize Table 6 reports }
\end{spacing}
\vspace{0.3in}
\begin{center}
\resizebox{5.5in}{!}{
\begin{tabu}{l|c|c|cc}
\multicolumn{5}{l}{\textbf{Panel A: 1st stage regression}} \\ \cline{1-5}
\T Dependent variable & \multicolumn{2}{|l|}{Predictors} & $F$-statistic & $P$-Value \\ \cline{1-5}
$r^e_t$ & \multicolumn{2}{|l|}{$D/P_{t-1}$, $SVAR_{t-1}$, $BM_{t-1}$, $NTIS_{t-1}$, $LTY_{t-1}$} & 4.45 & 0.001 \\
$\Delta c_{CE,t}$ & \multicolumn{2}{|l|}{$\Delta c_{CE,t-1}$, $\Delta c_{CE,t-2}$, $\Delta c_{CE,t-3}$, $r_{f,t-1}$} & 43.67 & 0.000 \\
$\Delta c_{NIPA,t}$ & \multicolumn{2}{|l|}{$\Delta c_{NIPA,t-1}$, $\Delta c_{NIPA,t-2}$, $\Delta c_{NIPA,t-3}$, $r_{f,t-1}$} & 65.14 & 0.000 \\
$\Delta c_{H,t}$ & \multicolumn{2}{|l|}{$\Delta c_{H,t-1}$, $\Delta c_{H,t-2}$, $\Delta c_{H,t-3}$, $r_{f,t-1}$} & 19.11 & 0.000 \\ \hline \\ \\
\multicolumn{5}{l}{\textbf{Panel B: 2nd stage regression}} \\ \cline{1-5}
\T & \multicolumn{2}{|c|}{Predictors} & & \\ \cline{2-3}
Dependent variable & $\hat \epsilon_{r^e,t-1} \hat \epsilon_{\Delta c_{i},t-1}$ & $M/C_{i,t-1}$ & $F$-statistic & $P$-Value \\ \cline{1-5}
\T $\hat \epsilon_{r^e,t} \hat \epsilon_{\Delta c_{CE},t}$ & -0.143** & $1.06\times10^{-5}$ & 2.93 & 0.055 \\
\rowfont{\small} & (-2.26) & (0.85) & & \\
\T $\hat \epsilon_{r^e,t} \hat \epsilon_{\Delta c_{NIPA},t}$ & 0.108 & $-9.27\times10^{-6}$ & 1.34 & 0.264 \\
\rowfont{\small} & (1.64) & (-0.23) & & \\
\T $\hat \epsilon_{r^e,t} \hat \epsilon_{\Delta c_{H},t}$ & -0.133** & $-2.65\times10^{-5}$ & 2.28 & 0.105 \\
\rowfont{\small} & (-2.12) & (-0.51) & & \\ \hline
\end{tabu}%
}
\end{center}
\end{table}
\clearpage
答案1
我添加了一些快捷方式,因此代码更容易阅读。
\mc
为了\multicolumn
\dc
为了\multicolumn{2}{l|}{#1}
取而代之
\usepackage{tabu}
\usepackage{tabularx}
输出
代码(修复了我的错误信息)
\documentclass[12pt]{article} %It can be article / report / and book
\usepackage{amssymb,amsfonts,amsmath} % math packages
\usepackage[top=1.3in, bottom=1.3in, left=1in, right=1in]{geometry}
\usepackage{setspace}
\usepackage{booktabs}
\usepackage{tabularx}
\usepackage{array}
\usepackage{graphics,graphicx,rotating,multirow}
\usepackage{xcolor}
\usepackage{color,colortbl}
%\usepackage{ltablex}
\usepackage{caption}
\usepackage{subcaption}
\begin{document}
\thispagestyle{empty}
\def\T{\texttt{T}}
\let\mc=\multicolumn
\newcommand\dc[1]{\mc{2}{l|}{#1}}
\newcommand\heps{\hat\epsilon}
\newlength\myLength
\setlength\myLength{3.7cm}
\begin{tabularx}{\linewidth}{p{2.7cm}|>{\centering}p{\myLength}|>{\centering}p{\myLength}|>{\centering}Xc}
\mc{5}{l}{\textbf{Panel A: 1st stage regression}}
\\ \cline{1-5}
\T-Dependent variable & \mc{2}{c|}{Predictors} & $F$-statistic & $P$-Value \\
\cline{1-5}
$r^e_t$ & \dc{$D/P_{t-1}, SVAR_{t-1}, BM_{t-1}, NTIS_{t-1}, LTY_{t-1}$} & 4.45 & 0.001 \\
$\Delta c_{CE,t}$ & \dc{$\Delta c_{CE,t-1}, \Delta c_{CE,t-2}, \Delta c_{CE,t-3}, r_{f,t-1}$} & 43.67 & 0.000 \\
$\Delta c_{NIPA,t}$ & \dc{$\Delta c_{NIPA,t-1}, \Delta c_{NIPA,t-2}, \Delta c_{NIPA,t-3}, r_{f,t-1}$} & 65.14 & 0.000 \\
$\Delta c_{H,t}$ & \dc{$\Delta c_{H,t-1}, \Delta c_{H,t-2}, \Delta c_{H,t-3}, r_{f,t-1}$} & 19.11 & 0.000 \\
\hline
\mc{5}{l}{\rule{0pt}{1cm}\textbf{Panel B: 2nd stage regression}}
\\ \cline{1-5}
& \mc{2}{c|}{Predictors} & & \\
\cline{2-3}
\T-Dependent variable & $\heps_{r^e,t-1} \heps_{\Delta c_{i},t-1}$ & $M/C_{i,t-1}$ & $F$-statistic & $P$-Value \\
\cline{1-5}
\T $\heps_{r^e,t} \heps_{\Delta c_{CE},t}$ & -0.143** & $1.06\times10^{-5}$ & 2.93 & 0.055 \\
& (-2.26) & (0.85) & & \\
\T $\heps_{r^e,t} \heps_{\Delta c_{NIPA},t}$ & 0.108 & $-9.27\times10^{-6}$ & 1.34 & 0.264 \\
& (1.64) & (-0.23) & & \\
\T $\heps_{r^e,t} \heps_{\Delta c_{H},t}$ & -0.133** & $-2.65\times10^{-5}$ & 2.28 & 0.105 \\
& (-2.12) & (-0.51) & & \\
\hline
\end{tabularx}%
\end{document}
答案2
- 首先我清理前言:不是
\usepackage{graphics, graphicx, ...}
足够了\usepackage{graphicx, ...}
,而是\usepackage{xcolor, color, colortbl}
足够了\usepackage[table]{xcolor}
,amsmath
被加载了两次 - 使用
tabu
很脆弱;软件包有缺陷,而且不幸的是不再维护 - 为了更好地对齐最后两列中的数字,使用
S
包中的列类型很方便siunitx
;用它写数字乘以也更简单10^{...}
(参见下面的 MWE) - 而不是(例如)
$\hat \epsilon_{r^e,t-1} \hat \epsilon_{\Delta c_{i},t-1}$
是正确的$\hat{\epsilon}_{r^e,t-1} \hat{\epsilon}_{\Delta c_{i},t-1}$
- 我不清楚
SVAR
,,NIPA
... 是一个变量还是四个变量的集合;我假设前者并将它们写为\mathit{SVAR}
等 tabularx
对于等宽列,您需要规定它们的宽度。您可以按照建议使用马苏皮兰在他的回答中,我将
\begin{tabularx}{\linewidth}{p{2.7cm}|
>{\centering}p{\myLength}|
>{\centering}p{\myLength}|
>{\centering}Xc}`
到
\begin{tabularx}{\linewidth}{l}|
*{2}{>{\centering}X|}
*{2}{S[table-format=2.3]}}
用于下面的 MWE(tabularx
当然也在序言中添加包)或使用p{...}
列类型,如下面的 MWE 中所示:
\documentclass[12pt]{article} %It can be article / report / and book
\usepackage[top=1.3in, bottom=1.3in, left=1in, right=1in]{geometry}
%\usepackage{setspace}
\usepackage{array, multirow, rotating}
\usepackage{graphicx}
\usepackage{amsmath, amssymb, amsfonts}
\usepackage[table]{xcolor}
\usepackage{graphicx}
\usepackage{pgfplots}
\usetikzlibrary{snakes}
\usepackage{caption}
\usepackage{subcaption}
\usepackage{siunitx}% added
\def\T{\texttt{T}}
\newcommand\mc[1]{ \multicolumn{1}{l}{#1}}
\newcommand\mcc[1]{\multicolumn{2}{>{\raggedright}p{82mm}|}{#1}}
\usepackage{lipsum}% dummy text
\begin{document}
\begin{table}
\caption{Predicting Ex Post Covariances between between Stock Returns and Consumption Growth}
\label{Tab6}
\centering
\renewcommand\arraystretch{1.2}
\begin{tabular}{
>{$}l<{$}|
*{2}{>{\centering}p{41mm}|}
*{2}{S[table-format=2.3]}}
\multicolumn{5}{l}{\textbf{Panel A: 1st stage regression}} \\
\hline
\text{Dependent variable}
& \multicolumn{2}{l|}{Predictors} & {$F$-statistic} & {$P$-Value} \\
\hline
r^e_t & \mcc{$D/P_{t-1}$, $\mathit{SVAR}_{t-1}$, $\mathit{BM}_{t-1}$,
$\mathit{NTIS}_{t-1}$, $\mathit{LTY}_{t-1}$}
& 4.45 & 0.001 \\
\Delta c_{CE,t}
& \mcc{$\Delta c_{\mathit{CE},t-1}$, $\Delta c_{\mathit{CE},t-2}$,
$\Delta c_{\mathit{CE},t-3}$, $r_{f,t-1}$}
& 43.67 & 0.000 \\
\Delta c_{NIPA,t}
& \mcc{$\Delta c_{\mathit{NIPA},t-1}$, $\Delta c_{\mathit{NIPA},t-2}$,
$\Delta c_{\mathit{NIPA},t-3}$, $r_{f,t-1}$}
& 65.14 & 0.000 \\
\Delta c_{H,t}
& \mcc{$\Delta c_{H,t-1}$, $\Delta c_{H,t-2}$,
$\Delta c_{H,t-3}$, $r_{f,t-1}$}
& 19.11 & 0.000 \\
\hline
\mc{} & \mc{} & \mc{} & \mc{} & \mc{} \\
\multicolumn{5}{l}{\textbf{Panel B: 2nd stage regression}} \\
\hline
\T & \mcc{Predictors} & & \\
\cline{2-3}
\text{Dependent variable}
& $\hat{\epsilon}_{r^e,t-1} \hat{\epsilon}_{\Delta c_{i},t-1}$
& $M/C_{i,t-1}$ & {$F$-statistic} & {$P$-Value} \\
\hline
\T\ \hat{\epsilon}_{r^e,t} \hat{\epsilon}_{\Delta c_{CE},t}
& -0.143**
& \num{1.06e-5} & 2.93 & 0.055 \\
%\rowfont{\small}
& (-2.26)
& (0.85) & & \\
\T\ \hat{\epsilon}_{r^e,t} \hat{\epsilon}_{\Delta c_{NIPA},t}
& 0.108
& \num{-9.27e-6} & 1.34 & 0.264 \\
& (1.64)
& (-0.23) & & \\
\T\ \hat{\epsilon}_{r^e,t} \hat{\epsilon}_{\Delta c_{H},t}
& -0.133**
& \num{-2.65e-5} & 2.28 & 0.105 \\
%\rowfont{\small}
& (-2.12)
& (-0.51) & & \\
\hline
\end{tabular}%
\end{table}
\end{document}
booktabs
通过使用包中的规则可以获得进一步的改进
\documentclass[12pt]{article} %It can be article / report / and book
\usepackage[top=1.3in, bottom=1.3in, left=1in, right=1in]{geometry}
%\usepackage{setspace}
\usepackage{array, booktabs, multirow, rotating}
\usepackage{graphicx}
\usepackage{amsmath, amssymb, amsfonts}
\usepackage[table]{xcolor}
\usepackage{graphicx}
\usepackage{pgfplots}
\usetikzlibrary{snakes}
\usepackage{caption}
\usepackage{subcaption}
\usepackage{siunitx}% added
\def\T{\texttt{T}}
\newcommand\mc[1]{ \multicolumn{1}{l}{#1}}
\newcommand\mcc[1]{\multicolumn{2}{>{\raggedright}p{82mm}}{#1}}
\usepackage{lipsum}% dummy text
\begin{document}
\begin{table}
\caption{Predicting Ex Post Covariances between between Stock Returns and Consumption Growth}
\label{Tab6}
\centering
\renewcommand\arraystretch{1.2}
\begin{tabular}{
>{$}l<{$}
*{2}{>{\centering}p{41mm}}
*{2}{S[table-format=2.3]}}
\multicolumn{5}{l}{\textbf{Panel A: 1st stage regression}} \\
\toprule
\text{Dependent variable}
& \multicolumn{2}{c}{Predictors} & {$F$-statistic} & {$P$-Value} \\
\midrule
r^e_t & \mcc{$D/P_{t-1}$, $\mathit{SVAR}_{t-1}$, $\mathit{BM}_{t-1}$,
$\mathit{NTIS}_{t-1}$, $\mathit{LTY}_{t-1}$}
& 4.45 & 0.001 \\
\Delta c_{CE,t}
& \mcc{$\Delta c_{\mathit{CE},t-1}$, $\Delta c_{\mathit{CE},t-2}$,
$\Delta c_{\mathit{CE},t-3}$, $r_{f,t-1}$}
& 43.67 & 0.000 \\
\Delta c_{NIPA,t}
& \mcc{$\Delta c_{\mathit{NIPA},t-1}$, $\Delta c_{\mathit{NIPA},t-2}$,
$\Delta c_{\mathit{NIPA},t-3}$, $r_{f,t-1}$}
& 65.14 & 0.000 \\
\Delta c_{H,t}
& \mcc{$\Delta c_{H,t-1}$, $\Delta c_{H,t-2}$,
$\Delta c_{H,t-3}$, $r_{f,t-1}$}
& 19.11 & 0.000 \\
\midrule
\addlinespace[3ex]
\multicolumn{5}{l}{\textbf{Panel B: 2nd stage regression}} \\
\midrule
\T & \multicolumn{2}{c}{Predictors}
& & \\
\cmidrule(lr){2-3}
\text{Dependent variable}
& $\hat{\epsilon}_{r^e,t-1} \hat{\epsilon}_{\Delta c_{i},t-1}$
& $M/C_{i,t-1}$ & {$F$-statistic} & {$P$-Value} \\
\midrule
\T\ \hat{\epsilon}_{r^e,t} \hat{\epsilon}_{\Delta c_{CE},t}
& -0.143**
& \num{1.06e-5} & 2.93 & 0.055 \\
& (-2.26)
& (0.85) & & \\
\T\ \hat{\epsilon}_{r^e,t} \hat{\epsilon}_{\Delta c_{NIPA},t}
& 0.108
& \num{-9.27e-6} & 1.34 & 0.264 \\
%\rowfont{\small}
& (1.64)
& (-0.23) & & \\
\T\ \hat{\epsilon}_{r^e,t} \hat{\epsilon}_{\Delta c_{H},t}
& -0.133**
& \num{-2.65e-5} & 2.28 & 0.105 \\
& (-2.12)
& (-0.51) & & \\
\bottomrule
\end{tabular}%
\end{table}
\end{document}