Labor earnings imputation: An application using labor surveys in Mexico

Eduardo Rodriguez-Oreggia and López Videla Bruno

No 2014-21, Working Papers from Banco de México

Abstract: 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.

Keywords: imputations; earnings; human capital; labor poverty; matching (search for similar items in EconPapers)
JEL-codes: C18 C81 D10 J24 (search for similar items in EconPapers)
Date: 2014-09
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Persistent link: https://EconPapers.repec.org/RePEc:bdm:wpaper:2014-21

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