Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/100118
Authors: 
Martínez-Ovando, Juan Carlos
Olivares-Guzmán, Sergio I.
Roldán-Rodríguez, Adriana
Year of Publication: 
2014
Series/Report no.: 
Working Papers, Banco de México 2014-04
Abstract: 
In this paper, we develop a new model-based method to inference on totals and averages of nite populations segmented in planned domains or strata. Within each stratum, we decompose the total as the sum of its sampled and unsampled parts, making inference on the unsampled part using Bayesian nonparametric methods. Additionally, we extend this method to make inference on totals of unplanned domains simultaneously modelling, within each stratum, the underlying uncertainty about the composition of the population and the totals across unplanned domains. Making inference on population averages is straightforward in both frameworks. To illustrate these methods, we develop a simulation exercise and evaluate the uncertainty surrounding the gender wage gap in Mexico.
Subjects: 
survey methods
robustness
species-sampling models
JEL: 
C11
C14
C42
C81
C88
J31
Document Type: 
Working Paper
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