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.
Constructed Data
SimpleMHAS (ENASEMsimple)
The SimpleMHAS (ENASEMsimple) is a longitudinal dataset that includes every person interviewed atleast
once for MHAS and a reduced selection of variables (81 excluding identifiers, information about the interview, and sampling weights)
versus the full MHAS database. It includes a smaller selection of variables for ease of use by two groups in particular: students and researchers
new to MHAS. For more detailed information, please refer to the descriptive document.
MHAS LifeCourse (ENASEM CursoDeVida)
The MHAS LifeCourse Data is a wide-format dataset that includes every individual interviewed at least once.
It integrates harmonized life course and childhood variables across waves, covering key aspects of individuals'
lives such as childhood conditions, education, marriage, fertility, work history, and migration.
For more detailed information, please refer to the descriptive document.
MHAS Created Variables
The MHAS created variables is a set of data files for each wave of the study. Each of these data files has
a wide format, with the unit of observation the individual subject. The naming of the variables is consistent across waves to
facilitate the comparison. In addition, each data set includes the necessary identifiers to be able to complete a merge with
all the other created data files as well as with the raw data across and within waves. For more detailed information, please
refer to the descriptive document.
MHAS Cognitive Function Measures Scoring and Classification
Since the beginning of the study, the MHAS includes a section to assess cognitive function in direct and proxy interviews. The constructed
data files include all constructed scores for the different cognitive function tasks included in the study across waves.
It also provides the normative standards and z-scores for each task as well as the composite score.
For more detailed information, please refer to the respective descriptive document.
Net Worth and Income Variables
As part of the Imputation of Economic Variables, two variables were constructed to indicate the total net worth (at the household level)
and the total income (at the individual level). In addition, a new data file was created with the pension and income imputed variables
from Section K at the individual level (this section is originally at the household level). For more information about the Imputation
of the MHAS Economic Variables please refer to the respective wave document.