Replication Data for: Non-take-up after expansion: Universalisation and territorial inequalities in Mexico’s old-age pension

This dataset contains the processed analytical datasets, Stata do-files, graph outputs and README documentation used to estimate the 2016–2024 Probit and Heckman selection models for the analysis of non-take-up and territorial inequalities in Mexico’s old-age pension programme, Pensión para el Bienestar de las Personas Adultas Mayores (PAM).

The files were constructed from official public data sources, including the National Household Income and Expenditure Survey (ENIGH), poverty measurement datasets from the National Council for the Evaluation of Social Development Policy (CONEVAL), and 2024 multidimensional poverty information produced by the National Institute of Statistics and Geography (INEGI).

The repository includes separate analytical datasets for the Heckman selection models and the standalone Probit models, together with Stata do-files, graph outputs and a README file documenting the data structure, original sources and methodological purpose of each specification.

本数据集包含用于估算2016—2024年概率单位（Probit）模型与赫克曼选择（Heckman selection）模型的已处理分析数据集、Stata命令文件（Stata do-files）、绘图输出结果及README文档，上述模型用于分析墨西哥老年人福利养老金（Pensión para el Bienestar de las Personas Adultas Mayores，简称PAM）项目中的福利未申领情况与地域不平等问题。

本数据集文件均源自官方公开数据源，包括国民收支住户调查（National Household Income and Expenditure Survey，ENIGH）、社会发展政策评估国家委员会（National Council for the Evaluation of Social Development Policy，CONEVAL）的贫困测度数据集，以及国家统计与地理研究所（National Institute of Statistics and Geography，INEGI）编制的2024年多维贫困统计信息。

本数据集仓库包含面向赫克曼选择模型与独立概率单位模型的专属分析数据集，同时配套Stata命令文件、绘图输出结果，以及一份README文档，该文档详细说明了各模型设定的数据结构、原始数据源与方法论用途。