@article{ref1,
title="The use of a hazard-based duration model for imputation of missing personal income data",
journal="Transportation",
year="2009",
author="Tong, C. and Lee, Joyoung",
volume="36",
number="5",
pages="565-579",
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.<p />",
language="",
issn="0049-4488",
doi="10.1007/s11116-009-9213-0",
url="http://dx.doi.org/10.1007/s11116-009-9213-0"
}