Bayesian Estimation of Hispanic Fertility Hazards from Survey and Population Data
AbstractPrevious 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.
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Bibliographic InfoPaper provided by RAND Corporation Publications Department in its series Working Papers with number 496.
Length: 48 pages
Date of creation: May 2007
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More information through EDIRC
Bayesian Estimation; Human Fertility; Population Forecasting;
Find related papers by JEL classification:
- C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
- J13 - Labor and Demographic Economics - - Demographic Economics - - - Fertility; Family Planning; Child Care; Children; Youth
- I1 - Health, Education, and Welfare - - Health
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