Important notice on the use of LLM and other AI tools : Large language models (LLMs) and
other artificial intelligence (AI) tools may not be used to manage, process, or analyze data distributed by the
Mexican Health and Aging Study (MHAS), including public-use files, imputed files, constructed variables, ancillary study data (e.g., Mex-Cog), Gateway Harmonized MHAS files, and any restricted or sensitive
data products. Providing MHAS microdata to an LLM or any other AI tools constitutes redistribution of the data and is therefore a violation of all existing MHAS data-use terms and agreements. For
more details, please consult the full policy here.
Core survey Data
MHAS Survey Data includes all public data by wave of the study, including Raw Data, Imputed Data, and data for all Ancillary studies.
The Core Survey data is divided by Core Interview (direct and proxy) and Next-Kin-Interview.
Core Interview
The MHAS Core Interview data is divided in Household Level and Individual Level files.
The Household Level data files include: Cover Interview, Household Roster, Non-Resident Children Roster,
and Sections G, J, K and SA – Help and Children, Housing, and Pension, Income and Assets. The Individual
Level data files include all the sections of the Core questionnaire for both direct and proxy interviews.
Next-of-Kin Interview
Starting in 2003, the MHAS Next-of-Kin Interview data is divided in Household Level and
Individual Level files. The Household Level data files include: Sections SG and SJ – Help and Children and
Housing. The Individual Level data files include all the sections of the 2018 Next-of-Kin questionnaire.