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ap2.tex
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\documentclass[12pt,a4]{article}
\usepackage[]{graphicx}\usepackage[]{xcolor}
% maxwidth is the original width if it is less than linewidth
% otherwise use linewidth (to make sure the graphics do not exceed the margin)
\makeatletter
\def\maxwidth{ %
\ifdim\Gin@nat@width>\linewidth
\linewidth
\else
\Gin@nat@width
\fi
}
\makeatother
\definecolor{fgcolor}{rgb}{0.345, 0.345, 0.345}
\newcommand{\hlnum}[1]{\textcolor[rgb]{0.686,0.059,0.569}{#1}}%
\newcommand{\hlstr}[1]{\textcolor[rgb]{0.192,0.494,0.8}{#1}}%
\newcommand{\hlcom}[1]{\textcolor[rgb]{0.678,0.584,0.686}{\textit{#1}}}%
\newcommand{\hlopt}[1]{\textcolor[rgb]{0,0,0}{#1}}%
\newcommand{\hlstd}[1]{\textcolor[rgb]{0.345,0.345,0.345}{#1}}%
\newcommand{\hlkwa}[1]{\textcolor[rgb]{0.161,0.373,0.58}{\textbf{#1}}}%
\newcommand{\hlkwb}[1]{\textcolor[rgb]{0.69,0.353,0.396}{#1}}%
\newcommand{\hlkwc}[1]{\textcolor[rgb]{0.333,0.667,0.333}{#1}}%
\newcommand{\hlkwd}[1]{\textcolor[rgb]{0.737,0.353,0.396}{\textbf{#1}}}%
\let\hlipl\hlkwb
\usepackage{framed}
\makeatletter
\newenvironment{kframe}{%
\def\at@end@of@kframe{}%
\ifinner\ifhmode%
\def\at@end@of@kframe{\end{minipage}}%
\begin{minipage}{\columnwidth}%
\fi\fi%
\def\FrameCommand##1{\hskip\@totalleftmargin \hskip-\fboxsep
\colorbox{shadecolor}{##1}\hskip-\fboxsep
% There is no \\@totalrightmargin, so:
\hskip-\linewidth \hskip-\@totalleftmargin \hskip\columnwidth}%
\MakeFramed {\advance\hsize-\width
\@totalleftmargin\z@ \linewidth\hsize
\@setminipage}}%
{\par\unskip\endMakeFramed%
\at@end@of@kframe}
\makeatother
\definecolor{shadecolor}{rgb}{.97, .97, .97}
\definecolor{messagecolor}{rgb}{0, 0, 0}
\definecolor{warningcolor}{rgb}{1, 0, 1}
\definecolor{errorcolor}{rgb}{1, 0, 0}
\newenvironment{knitrout}{}{} % an empty environment to be redefined in TeX
\usepackage{alltt}
\newcommand{\SweaveOpts}[1]{} % do not interfere with LaTeX
\newcommand{\SweaveInput}[1]{} % because they are not real TeX commands
\newcommand{\Sexpr}[1]{} % will only be parsed by R
% ---- Metadata ---- %
\title{Honesty by Convenience: Corruption Tolerance in Ecuador}
\author{Daniel Hernán Sánchez Pazmiño}
\date{June 2022}
% ---- Load Packages ---- %
% Math
\usepackage{savesym} % Need to "save" the command that is already defined \varTheta
\usepackage{amsmath}
\savesymbol{varTheta}
% Fonts
% To set the TNR font for both text and equations:
\usepackage{mathspec}
\setallmainfonts(Digits,Greek,Latin){Times New Roman}
\restoresymbol{MTP}{varTheta}
% Formatting
\usepackage{setspace}
\doublespacing
\usepackage[margin = 1in]{geometry}
\usepackage{lscape}
% Citation & Bibliographies
\usepackage[backend = biber, style = apa, citestyle = apa]{biblatex}
\addbibresource{refs.bib}
% For tables:
% For the modelsummary tables:
\usepackage{siunitx}
\usepackage{booktabs}
\newcolumntype{d}{S[input-symbols = ()]}
\usepackage{caption}
\usepackage{multirow}
\usepackage[flushleft]{threeparttable}
% Other packages
\usepackage{csquotes} % For quotation marks
\usepackage{epigraph} % For epigraph
\setlength\epigraphwidth{9cm}
\setlength\epigraphrule{1pt}
\usepackage{float} % For the H float option- only used in emergencies (lol)
\usepackage{textcomp} % For the registered trademark symbol.
% Always load these packages at the end of the preamble:
\usepackage{hyperref}
% ---- R Stuff to be used in the whole document ----
% Here I will execute or source R code through chunks that I need to use throughout the whole document.
% General settings
% Load the data by sourcing the data manipulation script. Note that survey design objects are indeed created in this script.
\begin{document}
% Appendix 2: Other estimations for Models
\section{Appendix B: Other estimations for models in Table \ref{tab:simplemodel}}
\label{app:second}
Table \ref{tab:probitsimp} shows a probit estimation of the model displayed in Equation \ref{eqn:simplemod}. The signs of the coefficients in this table confirm the findings of the logit model as explained in Table \ref{tab:simplemodel}. Table \ref{tab:probitsimpape} shows average partial effects for the probit models in Table \ref{tab:probitsimp}. The magnitudes of these effects are similar to those shown in Table \ref{tab:simplemodel}. Table \ref{tab:lpmsimp} shows the estimated effects of a linear probability model of Equation \ref{eqn:simplemod}, which also follow the coefficient signs in the logit and probit estimates.
% Probit coefficients
\begin{table}[htbp]
\caption{Probit coefficients for baseline models}
\label{tab:probitsimp}
\begin{tabular}[t]{lccccc}
\toprule
& (1) & (2) & (3) & (4) & (5)\\
\midrule
Constant & \num{-1.123} & \num{-1.173} & \num{-0.303} & \num{0.277} & \num{-0.921}\\
& (\num{0.068}) & (\num{0.058}) & (\num{0.123}) & (\num{0.208}) & (\num{0.108})\\
2016 Dummy & \num{0.479} & \num{0.564} & \num{-0.097} & \num{-0.710} & \num{0.156}\\
& (\num{0.088}) & (\num{0.072}) & (\num{0.141}) & (\num{0.241}) & (\num{0.132})\\
Worse Economic Situation & \num{0.071} & & & & \\
& (\num{0.091}) & & & & \\
Unemployment & & \num{0.572} & & & \\
& & (\num{0.122}) & & & \\
Confidence in President & & & \num{-0.163} & & \\
& & & (\num{0.021}) & & \\
Approval of Pres. Performance & & & & \num{-0.369} & \\
& & & & (\num{0.053}) & \\
Political Wing & & & & & \num{-0.026}\\
& & & & & (\num{0.021})\\
Econ. Situation Interaction & \num{-0.008} & & & & \\
& (\num{0.110}) & & & & \\
Unemployment Interaction & & \num{-0.567} & & & \\
& & (\num{0.153}) & & & \\
Pres. Confidence Interaction & & & \num{0.113} & & \\
& & & (\num{0.025}) & & \\
Pres. Approval Interaction & & & & \num{0.320} & \\
& & & & (\num{0.063}) & \\
Pol. Wing Interaction & & & & & \num{0.055}\\
& & & & & (\num{0.024})\\
\midrule
$N$ & \num{2948} & \num{2950} & \num{2944} & \num{2941} & \num{2535}\\
AIC & \num{2893.51} & \num{2888.97} & \num{2847.02} & \num{2842.46} & \num{2574.68}\\
BIC & \num{2926.37} & \num{2920.98} & \num{2880.35} & \num{2874.40} & \num{2606.04}\\
\bottomrule
\end{tabular}
\vspace{0.25cm}
\textbf{Note:} Probit coefficients of the baseline models as described by Equation \ref{eqn:simplemod}. Standard errors consider design effects of the AB complex survey design.\\
*$p$ < 0.1, **$p$< 0.05, ***$p$ < 0.01.
\end{table}
% Do the APE table
\begin{table}[htbp]
\caption{Average partial effects for probit models in Table \ref{tab:probitsimp}}
\begin{center}
\label{tab:probitsimpape}
\begin{tabular}[t]{lccccc}
\toprule
& (1) & (2) & (3) & (4) & (5)\\
\midrule
2016 Dummy & \num{0.131}*** & \num{0.126}*** & \num{0.109}*** & \num{0.118}*** & \num{0.124}***\\
& (\num{0.020}) & (\num{0.019}) & (\num{0.019}) & (\num{0.019}) & (\num{0.020})\\
Worse Economic Situation & \num{0.018} & & & & \\
& (\num{0.014}) & & & & \\
Unemployment & & \num{0.076}*** & & & \\
& & (\num{0.025}) & & & \\
Confidence in President & & & \num{-0.025}*** & & \\
& & & (\num{0.003}) & & \\
Approval of Pres. Performance & & & & \num{-0.046}*** & \\
& & & & (\num{0.008}) & \\
Political Wing & & & & & \num{0.002}\\
& & & & & (\num{0.003})\\
\midrule
$N$ & \num{2948} & \num{2950} & \num{2944} & \num{2941} & \num{2535}\\
\bottomrule
\end{tabular}
\vspace{0.25cm}
\end{center}
\textbf{Note:} Average partial effects for the models estimated in Table \ref{tab:probitsimp}. Data from the open-access AB databases. Standard errors consider design effects of the AB complex survey design.\\
*$p$ < 0.1, **$p$< 0.05, ***$p$ < 0.01.
\end{table}
% LPM coefficients
\begin{table}[htbp]
\caption{LPM coefficients for baseline models}
\label{tab:lpmsimp}
\begin{tabular}[t]{lccccc}
\toprule
& (1) & (2) & (3) & (4) & (5)\\
\midrule
Constant & \num{0.131} & \num{0.120} & \num{0.328} & \num{0.454} & \num{0.176}\\
& (\num{0.014}) & (\num{0.012}) & (\num{0.038}) & (\num{0.059}) & (\num{0.026})\\
2016 Dummy & \num{0.129} & \num{0.151} & \num{0.013} & \num{-0.125} & \num{0.044}\\
& (\num{0.023}) & (\num{0.018}) & (\num{0.045}) & (\num{0.072}) & (\num{0.035})\\
Worse Economic Situation & \num{0.016} & & & & \\
& (\num{0.021}) & & & & \\
Unemployment & & \num{0.154} & & & \\
& & (\num{0.042}) & & & \\
Confidence in President & & & \num{-0.037} & & \\
& & & (\num{0.006}) & & \\
Approval of Pres. Performance & & & & \num{-0.082} & \\
& & & & (\num{0.013}) & \\
Political Wing & & & & & \num{-0.006}\\
& & & & & (\num{0.005})\\
Econ. Situation Interaction & \num{0.005} & & & & \\
& (\num{0.029}) & & & & \\
Unemployment Interaction & & \num{-0.152} & & & \\
& & (\num{0.051}) & & & \\
Pres. Confidence Interaction & & & \num{0.021} & & \\
& & & (\num{0.007}) & & \\
Pres. Approval Interaction & & & & \num{0.066} & \\
& & & & (\num{0.018}) & \\
Pol. Wing Interaction & & & & & \num{0.015}\\
& & & & & (\num{0.006})\\
\midrule
$N$ & \num{2948} & \num{2950} & \num{2944} & \num{2941} & \num{2535}\\
AIC & \num{18539.17} & \num{18552.88} & \num{18510.61} & \num{18493.88} & \num{15915.35}\\
BIC & \num{31297.17} & \num{31336.89} & \num{31169.02} & \num{31101.45} & \num{23183.35}\\
\bottomrule
\end{tabular}
\vspace{0.25cm}
\textbf{Note:} LPM coefficients of the baseline models as described by Equation \ref{eqn:simplemod}. Standard errors consider design effects of the AB complex survey design.\\
*$p$ < 0.1, **$p$< 0.05, ***$p$ < 0.01.
\end{table}
\end{document}