Bayesian Estimation of Hispanic Fertility Hazards from Survey and Population Data
Previous studies have demonstrated both large efficiency gains and reductions in bias by incorporating population information in regression estimation with sample survey data. These studies, however, assume the population values are exact. This assumption is relaxed here through a Bayesian extension of constrained Maximum Likelihood estimation, applied to 1990s Hispanic fertility. Traditional elements of subjectivity in demographic evaluation and adjustment of survey and population data sources are quantified by this approach, and the inclusion of a larger set of objective data sources is facilitated by it. Compared to estimation from sample survey data only, the Bayesian constrained estimator results in much greater precision in the age pattern of the baseline fertility hazard and, under all but the most extreme assumptions about the uncertainty of the adjusted population data, substantially greater precision about the overall level of the hazard.
|Date of creation:||May 2007|
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- Judith K. Hellerstein & Guido W. Imbens, 1999.
"Imposing Moment Restrictions From Auxiliary Data By Weighting,"
The Review of Economics and Statistics,
MIT Press, vol. 81(1), pages 1-14, February.
- Guido W. Imbens & Judith K. Hellerstein, 1996. "Imposing Moment Restrictions from Auxiliary Data by Weighting," NBER Technical Working Papers 0202, National Bureau of Economic Research, Inc.
- Imbens, G.W. & Lancaster, T., 1991.
"Combining Micro and Macro Data in Microeconometric Models,"
Harvard Institute of Economic Research Working Papers
1578, Harvard - Institute of Economic Research.
- Guido W. Imbens & Tony Lancaster, 1994. "Combining Micro and Macro Data in Microeconometric Models," Review of Economic Studies, Oxford University Press, vol. 61(4), pages 655-680.
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