AMSE — Working Paper / Research Note LaTeX Template

\documentclass[12pt, a4paper]{article}
\usepackage[T1]{fontenc}
\usepackage[utf8]{inputenc}
\usepackage[english]{babel}
\usepackage{geometry}
\geometry{top=3cm, bottom=3cm, left=3cm, right=3cm}
\usepackage{amsmath, amssymb, amsthm}
\usepackage[hidelinks]{hyperref}
\usepackage{setspace}
\onehalfspacing
\usepackage{xcolor}
\usepackage{booktabs}
\usepackage{natbib}
\usepackage{microtype}

% ── AMSE brand colours ───────────────────────
\definecolor{amseOrange}{RGB}{245, 166, 35}
\definecolor{amseBlue}{RGB}{0,  62, 160}

% ── Theorem environments ─────────────────────
\newtheorem{theorem}{Theorem}
\newtheorem{proposition}[theorem]{Proposition}
\newtheorem{lemma}[theorem]{Lemma}
\newtheorem{corollary}[theorem]{Corollary}
\theoremstyle{definition}
\newtheorem{assumption}{Assumption}
\newtheorem{definition}{Definition}
\theoremstyle{remark}
\newtheorem{remark}{Remark}

% ── Custom commands ──────────────────────────
\newcommand{\E}{\mathbb{E}}
\newcommand{\R}{\mathbb{R}}
\newcommand{\N}{\mathbb{N}}
\newcommand{\eps}{\varepsilon}
\newcommand{\Var}{\operatorname{Var}}
\newcommand{\Cov}{\operatorname{Cov}}
\newcommand{\plim}{\operatorname{plim}}

\begin{document}

% ── AMSE header ─────────────────────────────────────────────────────
\noindent
{\color{amseBlue}\rule{\linewidth}{2pt}}\\[0.2cm]
\begin{minipage}{0.72\linewidth}
  {\color{amseBlue}\large\textbf{Working Paper} \color{amseOrange}\textbf{|} \color{amseBlue}\large Aix-Marseille School of Economics}\\
  {\small\color{gray} Aix-Marseille Université · CNRS · EHESS · Centrale Méditerranée}
\end{minipage}
\hfill
\begin{minipage}{0.24\linewidth}\raggedleft
  % \includegraphics[width=3cm]{amse-logo}
  {\color{amseOrange}\textbf{AMSE}}\\
  {\small\color{gray} WP \#2025-XX}
\end{minipage}\\[0.2cm]
{\color{amseBlue}\rule{\linewidth}{0.4pt}}

\vspace{1.5cm}

% ── Title block ─────────────────────────────────────────────────────
\begin{center}
{\LARGE\bfseries Title of Your Working Paper}\\[0.8cm]

\begin{tabular}{cc}
  \textbf{First Author} & \textbf{Second Author} \\
  \small Aix-Marseille University & \small CNRS \& AMSE \\
  \small \href{mailto:first@univ-amu.fr}{first@univ-amu.fr} &
  \small \href{mailto:second@cnrs.fr}{second@cnrs.fr} \\
\end{tabular}
\end{center}

\vspace{0.5cm}
\noindent\small\textit{This version:} \today

\vspace{1.2cm}

% ── Abstract ────────────────────────────────────────────────────────
\begin{abstract}
\noindent
We study [research question]. Using [methodology/data], we show that [main finding].
This result is robust to [robustness checks]. Our findings contribute to the literature on
[literature stream] by [contribution]. We discuss implications for [policy/theory].

\medskip
\noindent\textbf{Keywords:} keyword1, keyword2, keyword3, keyword4.

\medskip
\noindent\textbf{JEL Classification:} C14, D72, E32.
\end{abstract}

\newpage

% ── 1. Introduction ─────────────────────────────────────────────────
\section{Introduction}

Start with the economic question and its importance.
\citet{smith2023} shows that... Our paper differs in that...

\paragraph{Related literature.}
This paper relates to three strands of the literature.
First, \citet{jones2022}... Second, \citet{lee2021}... Third,...

\paragraph{Contribution.}
Our main contributions are: (i)~a novel identification strategy; (ii)~a dataset covering [scope]; and (iii)~policy implications for [domain].

\paragraph{Structure.}
Section~2 describes the model. Section~3 presents the data. Section~4 contains the main results. Section~5 concludes.

% ── 2. Model ────────────────────────────────────────────────────────
\section{Model}

\subsection{Environment}
Time is discrete. There is a continuum of agents $i \in [0,1]$.
Agent $i$'s utility is:
\[
  U_i = \E_0\!\left[\sum_{t=0}^\infty \beta^t u(c_{it}, l_{it})\right]
\]
where $\beta \in (0,1)$ is the discount factor, $c_{it}$ is consumption, and $l_{it}$ is leisure.

\begin{assumption}\label{ass:utility}
  The utility function $u: \R_+^2 \to \R$ is strictly concave and twice continuously differentiable.
\end{assumption}

\subsection{Equilibrium}

\begin{proposition}\label{prop:exist}
  Under Assumption~\ref{ass:utility}, a competitive equilibrium exists and is unique.
\end{proposition}
\begin{proof}
  Apply Kakutani's fixed-point theorem to the excess demand correspondence. $\square$
\end{proof}

% ── 3. Data ─────────────────────────────────────────────────────────
\section{Data and Identification Strategy}

\subsection{Data sources}
We use [dataset] covering [time period] and [geographical scope].

\subsection{Descriptive statistics}
\begin{table}[ht]
  \centering
  \caption{Summary statistics.}
  \begin{tabular}{lcccc}
    \toprule
    Variable & Mean & Std.\ Dev. & Min & Max \\
    \midrule
    Variable 1 & 4.23 & 1.12 & 1.00 & 8.50 \\
    Variable 2 & 0.58 & 0.21 & 0.10 & 0.95 \\
    Outcome    & 2.31 & 0.84 & 0.00 & 6.12 \\
    \bottomrule
  \end{tabular}
  \label{tab:stats}
\end{table}

\subsection{Identification}
We exploit [natural experiment / instrumental variable] as an exogenous source of variation in [endogenous variable].
The first-stage equation is:
\[
  x_{it} = \alpha_0 + \alpha_1 z_{it} + \mathbf{X}_{it}'\boldsymbol{\gamma} + \mu_i + \lambda_t + \eps_{it}
\]

% ── 4. Results ──────────────────────────────────────────────────────
\section{Results}

\subsection{Main results}
Table~\ref{tab:main} presents our main results.

\begin{table}[ht]
  \centering
  \caption{Main regression results.}
  \begin{tabular}{lcc}
    \toprule
    & (1) OLS & (2) IV \\
    \midrule
    Treatment effect & $0.32^{***}$ & $0.47^{***}$ \\
    & $(0.08)$ & $(0.12)$ \\
    Controls & \checkmark & \checkmark \\
    Fixed effects & Yes & Yes \\
    Observations & 12\,450 & 12\,450 \\
    \bottomrule
  \end{tabular}
  \\[4pt]
  \small\textit{Note:} Standard errors clustered at region level in parentheses.
  $^{***}$ p$<$0.01, $^{**}$ p$<$0.05, $^{*}$ p$<$0.1.
  \label{tab:main}
\end{table}

\subsection{Robustness}
Our results are robust to [alternative specification] and [placebo test].

% ── 5. Conclusion ───────────────────────────────────────────────────
\section{Conclusion}
We document that [main finding]. This has implications for [policy/literature].
Future work should address [limitation] by [approach].

% ── References ──────────────────────────────────────────────────────
% To use bibtex instead: create references.bib, then uncomment the two lines below
% \bibliographystyle{aer}
% \bibliography{references}

\begin{thebibliography}{9}
\bibitem[Jones(2022)]{jones2022}
Jones, A., and B.~Smith (2022).
``\href{https://doi.org/10.xxxx/xxxx}{Title of Paper.}''
\textit{American Economic Review}, 112(4), 1234--1267.
\bibitem[Lee(2021)]{lee2021}
Lee, C. (2021).
``Econometric Identification Strategy.''
\textit{Review of Economic Studies}, 88(2), 567--601.
\bibitem[Smith(2023)]{smith2023}
Smith, J. (2023).
``Recent Advances in [Field].''
\textit{Journal of Political Economy}, 131(1), 1--45.
\end{thebibliography}

\appendix
\section{Proofs}
\subsection*{Proof of Proposition~\ref{prop:exist}}
Detailed proof here.

\section{Additional Tables and Figures}

\end{document}

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