Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/129960
Authors: 
Rodríguez-Oreggia, Eduardo
López Videla, Bruno
Year of Publication: 
2014
Series/Report no.: 
Working Papers, Banco de México 2014-21
Abstract (Translated): 
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 a 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.
Subjects: 
imputations
earnings
human capital
labor poverty
matching
JEL: 
C18
C81
D10
J24
Document Type: 
Working Paper
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