Abstract
The choice of a specific distribution for random parameters of discrete choice models is a critical issue in transportation analysis. Indeed, various pieces of research have demonstrated that an inappropriate choice of the distribution may lead to serious bias in model forecast and in the estimated means of random parameters. In this paper, we propose a practical test, based on seminonparametric techniques. The test is analyzed both on synthetic and real data, and is shown to be simple and powerful.
Original language | English |
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Journal | Transportation Research Part B: Methodological |
Volume | 41 |
Issue number | 7 |
Pages (from-to) | 784-794 |
Number of pages | 11 |
ISSN | 0191-2615 |
DOIs | |
Publication status | Published - Aug 2007 |
Keywords
- Hypothesis testing
- Mixed logit
- Nonparametric
- Random parameters
- Seminonparametric