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Data management in household income and expenditure surveys: Working with extended families using Stata

Author

Listed:
  • Enrique Labrada

    (Centro de Investigación en Alimentación y Desarrollo y Universidad Autnoma de Baja California)

  • Luis Huesca

    (Centro de Investigación en Alimentación y Desarrollo y Universidad Autnoma de Baja California)

Abstract

To measure the effect that some mean-tested benefit focused on one individual member of an extended family (three generation households), could we have evaluated the program effectiveness by analyzing the effects that can produce one relevant benefit in México named Pensión para el bienestar de adultos mayores on any other member of the household, such as the preference for working less with fewer number of hours related to the age of the household occupied members. I employ Stata to capture the cross-section impacts of this policy with a Bayesian probit regression model with sample selection (BPSS) by using microsimulated data from MEXMOD fed with Encuesta Nacional de Ingresos y Gastos de los Hogares in 2014 and 2020 (ENIGH).

Suggested Citation

  • Enrique Labrada & Luis Huesca, "undated". "Data management in household income and expenditure surveys: Working with extended families using Stata," Mexican Stata Conference 2023 19, Stata Users Group.
    • Handle: RePEc:boc:mexi23:19
    as

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    File URL: http://repec.org/mex2023/Mexico23_Huesca.pdf
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    References listed on IDEAS

    as
    1. Tiago M. Fragoso & Wesley Bertoli & Francisco Louzada, 2018. "Bayesian Model Averaging: A Systematic Review and Conceptual Classification," International Statistical Review, International Statistical Institute, vol. 86(1), pages 1-28, April.
    2. Mark F. J. Steel, 2020. "Model Averaging and Its Use in Economics," Journal of Economic Literature, American Economic Association, vol. 58(3), pages 644-719, September.
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