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 and Stata do-files 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 program, 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至2024年概率单位（Probit）模型与赫克曼（Heckman）选择模型的经处理分析数据集及Stata命令脚本文件（Stata do-files），相关模型用于分析墨西哥老年福利养老金计划（Pensión para el Bienestar de las Personas Adultas Mayores，简称PAM）的未申领情况与地域不平等问题。本数据集的所有文件均基于官方公开数据源构建，包括全国住户收入与支出调查（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。本数据集仓库包含针对赫克曼选择模型与独立概率单位模型的独立分析数据集，同时配套Stata命令脚本文件、绘图输出结果，以及一份README说明文档，用于阐明各模型设定的数据结构、原始来源与方法论用途。