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Journal Article

Citation

Tong C, Lee J. Transportation (Amst) 2009; 36(5): 565-579.

Copyright

(Copyright © 2009, Holtzbrinck Springer Nature Publishing Group)

DOI

10.1007/s11116-009-9213-0

PMID

unavailable

Abstract

This paper suggests using a proportional hazard model to predict personal income, for the purpose of imputing missing income data in household travel surveys. The model has a hazard function that comprises two multiplicative components: (1) a non-parametric baseline hazard function that is dependent only on the income level and (2) a function that is dependent only on the other personal attributes of the survey respondents (excluding income). To estimate and validate the model, data is drawn from a travel characteristics survey conducted in Hong Kong in year 2001. The model is found to have a much higher accuracy when compared with a conventional ordered probit model based on the assumption that the logarithm of income is normally distributed.

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