Assessing Bias and Fit of Global and Local Hazard Models

Lawrence L. Wu and Nancy Brandon Tuma
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Lawrence L. Wu: University of Wisconsin-Madison
Nancy Brandon Tuma: Stanford University

Sociological Methods & Research, 1991, vol. 19, issue 3, 354-387

Abstract: This article assesses the bias and fit of a hazard rate model by comparing predicted and nonparametric estimates of survivor probabilities. These comparisons also generate several diagnostic displays for event history data. We illustrate these diagnostic methods for several global and local hazard models using data on age at first marriage for women from the June 1980 Current Population Survey. Our results suggest that a nonproportional local Gompertz model performs better than other models we examined.

Date: 1991
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Persistent link: https://EconPapers.repec.org/RePEc:sae:somere:v:19:y:1991:i:3:p:354-387

DOI: 10.1177/0049124191019003004

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