Efectos de los ingresos no reportados en el nivel y tendencia de la pobreza laboral en México
The proportion of wage workers with missing labor income has recently increased in Mexico. In this article, I correct the missing labor income through imputation methods. The official measurement of labor poverty indicates an increase from 42 to 53% in the 2005-2012 period, but poverty measured with imputed income increases only from 36 to 40%, a much lower increase than the one we observe. The results imply that policy makers should include in their statistics individuals with missing income and report statistics with and without correcting for missing income.
|Date of creation:||Feb 2013|
|Contact details of provider:|| Web page: http://www.colmex.mx/centros/cee/|
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- Little, Roderick J A, 1988. "Missing-Data Adjustments in Large Surveys," Journal of Business & Economic Statistics, American Statistical Association, vol. 6(3), pages 287-296, July.
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- Marco Caliendo & Sabine Kopeinig, 2005. "Some Practical Guidance for the Implementation of Propensity Score Matching," Discussion Papers of DIW Berlin 485, DIW Berlin, German Institute for Economic Research.
- Caliendo, Marco & Kopeinig, Sabine, 2005. "Some Practical Guidance for the Implementation of Propensity Score Matching," IZA Discussion Papers 1588, Institute for the Study of Labor (IZA).
- Rebecca R. Andridge & Roderick J. A. Little, 2010. "A Review of Hot Deck Imputation for Survey Non-response," International Statistical Review, International Statistical Institute, vol. 78(1), pages 40-64, 04. Full references (including those not matched with items on IDEAS)
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