Imputación de ingresos laborales: Una aplicación con encuestas de empleo en México

Rodriguez-Oreggia, Eduardo and Lopez-Videla, Bruno (2014): Imputación de ingresos laborales: Una aplicación con encuestas de empleo en México.

Abstract

The aim of this paper is to make imputation of earnings in observations with missing values in the Encuesta Nacional de Ocupaciones y Empleo (ENOE), and also to analyze a possible bias in human capital estimations from ignoring such missings. We present imputations by two methods, and also a correction for estimations by reweighting observations with reported earnings. The results show differences in human capital estimations on wages and factors related to labor poverty when missing values of earnings are ignored. Differences are acute when measuring labor poverty.

• Item Type: MPRA Paper
• English Title: Labor earnings imputation: An application using labor surveys in Mexico
• Language: Spanish
• Keywords: imputations, earnings, human capital, poverty, matching
• Subjects: C - Mathematical and Quantitative Methods > C1 - Econometric and Statistical Methods and Methodology: General > C15 - Statistical Simulation Methods: General; C - Mathematical and Quantitative Methods > C8 - Data Collection and Data Estimation Methodology ; Computer Programs > C81 - Methodology for Collecting, Estimating, and Organizing Microeconomic Data ; Data Access; D - Microeconomics > D1 - Household Behavior and Family Economics > D10 - General; D - Microeconomics > D6 - Welfare Economics; J - Labor and Demographic Economics > J2 - Demand and Supply of Labor > J24 - Human Capital ; Skills ; Occupational Choice ; Labor Productivity

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