Computing population weights for the EFH survey
Abstract
This paper shows the trade-off between bias and variance in the choice of expansion factors for the Chilean Financial Household Survey (EFH) using the 2007 wave. The alternatives are based on a full poststratification procedure using as strata different groups of Chilean geographical regions, the wealth of each town, and the income level of each household. I find that expansion factors based on a small number of strata can accurately represent the age, education and income distribution of Chile with little bias and variance involved. The best alternative also served as basis for the population weights of the EFH waves in 2008, 2009, 2010 and 2011.
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