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Labor earnings imputation: An application using labor surveys in Mexico


  • Rodríguez-Oreggia Eduardo
  • López Videla Bruno


The aim of this paper is to make imputations of earnings to observations with missing earnings in the Encuesta Nacional de Ocupaciones y Empleo (ENOE). We present imputations by two methods and also correction of estimations by reweighting observations with reported earnings. Then, we analyze the possible bias in estimations of mincer equations and labor poverty derived from ignoring observations with missing earnings. The results show that when missing earnings are not considered in estimations, there are differences in the parameters that define the relationship between the human capital level and earnings, as well as those that describe the determinants of labor poverty, compared to the results obtained from estimations that consider all observations. Differences are more significant when we analyze labor poverty.

Suggested Citation

  • Rodríguez-Oreggia Eduardo & López Videla Bruno, 2014. "Labor earnings imputation: An application using labor surveys in Mexico," Working Papers 2014-21, Banco de México.
  • Handle: RePEc:bdm:wpaper:2014-21

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    imputations; earnings; human capital; labor poverty; matching.;

    JEL classification:

    • C18 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Methodolical Issues: General
    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • D10 - Microeconomics - - Household Behavior - - - General
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity


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