我正在尝试将两个表放在一个threeparttable环境中。我的 TeX 代码如下所示：
\documentclass[11pt,a4paper]{article}
\usepackage{amssymb, amsmath, bm}
\usepackage[flushleft]{threeparttable}
\usepackage{float, booktabs, makecell, caption, tabularx}
\usepackage{siunitx}
\begin{document}
\begin{table}[htb!]
\caption{\textbf{Estimates of the MS-TVTP model}}
\label{table:mstvtp_estimation_results}
\begin{threeparttable}
\footnotesize
\renewcommand{\TPTminimum}{\linewidth}
\makebox[\linewidth]{%
\tabcolsep=0.11cm
\setlength{\extrarowheight}{2pt}
\begin{tabular}{lccc|ccccc}
\multicolumn{7}{l}{Panel (A): Autoregressive matrix $\boldsymbol{F}$, constants $\boldsymbol{\mu}_1$ and $\boldsymbol{\mu}_2$ and decay parameter $\lambda$} \\
\bottomrule
\specialrule{0.4pt}{\aboverulesep}{0pt}
& \thead[l]{$\mathrm{Level}_{t-1}$} & \thead[l]{$\mathrm{Slope}_{t-1}$} &
\thead[l]{$\mathrm{Curvature}_{t-1}$} & $\boldsymbol{\mu}_1$ & $\boldsymbol{\mu}_2$ & $ \lambda $ & $p_{11}$ & $p_{22}$ \\
\Xhline{0.5pt}
$\mathrm{Level}_{t}$ $(\beta_{1,t})$ & $ \bm{0.996} $ & & & 0.055 & & $ \bm{0.039} $ & 0.928 & 0.922 \\
& (0.003) & & & (0.038) & & (0.001) \\
$\mathrm{Slope}_{t}$ $(\beta_{2,t})$ & & & & $ \bm{-1.412} $ &
$ \bm{-4.936} $ \\
& & & & (0.075) & (0.106) \\
$\mathrm{Curvature}_{t}$ $(\beta_{3,t})$ & & & $ \bm{0.979} $ & -0.088 & \\
& & & (0.010) & (0.046) & \\
\Xhline{0.8pt}
\end{tabular}
\\
\begin{tabular}{lcc}
\multicolumn{3}{l}{Panel (B): Time-varying transition probability matrix $P_t$} \\
\bottomrule
\specialrule{0.4pt}{\aboverulesep}{0pt}
& \thead[l]{$S_t = 1$} & \thead[l]{$S_t = 2$} & \\
\Xhline{0.5pt}
$\gamma_0$ & $ \bm{7.000} $ & $ \bm{-0.999} $ & & \\
& (0.112) & (0.460) & & & & \\
$\gamma_1$ & $ \bm{1.834} $ & $ \bm{-0.626} $ & & & \\
& (0.659) & (0.277) & & & & \\
$\gamma_2$ & 0.420 & 0.369 & & & \\
& (0.602) & (0.514) & & & & \\
$\gamma_2$ & -0.292 & $ \bm{2.000} $ & & & \\
& (0.839) & (0.597) & & & & \\
\Xhline{0.8pt}
\end{tabular}
}
\begin{tablenotes}[flushleft]\footnotesize\smallskip
\item Note: This table reports estimates of the MS-DNS model. Panel (A) presents estimates for the autoregressive coefficient matrix $\boldsymbol{F}$, vector of means during periods of normal interest rates ($\boldsymbol{\mu}_1$) and in a low interest rate environment ($\boldsymbol{\mu}_2$), and decay parameter $\lambda$. Panel (B) presents estimates of the covariance matrix $\boldsymbol{\Sigma}_{\eta}$, and the transition probabilities $p_{11}$ and $p_{22}$. Bold entries denote parameter estimates significant at the 5 percent level. Standard errors appear in parentheses.\par
\end{tablenotes}
\end{threeparttable}
\end{table}
\end{document}
有人知道怎么做吗？另外，如果第二张表（比第一张表小很多）不能自动居中，我希望它能居中。
提前致谢。
编辑：不要求这两个表保留在环境中threeparttable。
答案1
删除了第二张表中的threeparttable、\makebox 和多余的&，但字体较小，并进行了一些其他的重新排列：
\documentclass[11pt,a4paper]{article}
\usepackage{amssymb, amsmath, bm}
\usepackage[flushleft]{threeparttable}
\usepackage{float, booktabs, makecell, caption, tabularx}
\usepackage{siunitx}
\usepackage{ragged2e}
\begin{document}
\begin{table}[htb!]
\caption{\textbf{Estimates of the MS-TVTP model}}
\label{table:mstvtp_estimation_results}
\centering\scriptsize
\renewcommand{\TPTminimum}{\linewidth}
\setlength{\tabcolsep}{2pt}
\setlength{\extrarowheight}{2pt}
\begin{tabular}{lccc|ccccc}
\multicolumn{7}{l}{Panel (A): Autoregressive matrix $\boldsymbol{F}$, constants $\boldsymbol{\mu}_1$ and $\boldsymbol{\mu}_2$ and decay parameter $\lambda$} \\
\bottomrule
\specialrule{0.4pt}{\aboverulesep}{0pt}
& \thead[l]{$\mathrm{Level}_{t-1}$} & \thead[l]{$\mathrm{Slope}_{t-1}$} &
\thead[l]{$\mathrm{Curvature}_{t-1}$} & $\boldsymbol{\mu}_1$ & $\boldsymbol{\mu}_2$ & $ \lambda $ & $p_{11}$ & $p_{22}$ \\
\Xhline{0.5pt}
$\mathrm{Level}_{t}$ $(\beta_{1,t})$ & $ \bm{0.996} $ & & & 0.055 & & $ \bm{0.039} $ & 0.928 & 0.922 \\
& (0.003) & & & (0.038) & & (0.001) \\
$\mathrm{Slope}_{t}$ $(\beta_{2,t})$ & & & & $ \bm{-1.412} $ &
$ \bm{-4.936} $ \\
& & & & (0.075) & (0.106) \\
$\mathrm{Curvature}_{t}$ $(\beta_{3,t})$ & & & $ \bm{0.979} $ & -0.088 & \\
& & & (0.010) & (0.046) & \\
\Xhline{0.8pt}
\end{tabular}
\bigskip
Panel (B): Time-varying transition probability matrix $P_t$
\begin{tabular}{lcc}
\bottomrule
\specialrule{0.4pt}{\aboverulesep}{0pt}
& \thead[l]{$S_t = 1$} & \thead[l]{$S_t = 2$} \\
\Xhline{0.5pt}
$\gamma_0$ & $ \bm{7.000} $ & $ \bm{-0.999} $ \\
& (0.112) & (0.460) \\
$\gamma_1$ & $ \bm{1.834} $ & $ \bm{-0.626} $ \\
& (0.659) & (0.277) \\
$\gamma_2$ & 0.420 & 0.369 \\
& (0.602) & (0.514) \\
$\gamma_2$ & -0.292 & $ \bm{2.000} $ \\
& (0.839) & (0.597) \\
\Xhline{0.8pt}
\end{tabular}
\medskip
\justifying\footnotesize\noindent
Note: This table reports estimates of the MS-DNS model. Panel (A) presents estimates for the autoregressive coefficient matrix $\boldsymbol{F}$, vector of means during periods of normal interest rates ($\boldsymbol{\mu}_1$) and in a low interest rate environment ($\boldsymbol{\mu}_2$), and decay parameter $\lambda$. Panel (B) presents estimates of the covariance matrix $\boldsymbol{\Sigma}_{\eta}$, and the transition probabilities $p_{11}$ and $p_{22}$. Bold entries denote parameter estimates significant at the 5 percent level. Standard errors appear in parentheses.
\end{table}
\end{document}
