A New Estimation Approach to Integrate Latent Psychological Constructs in Choice Modeling
| 项目名称： | A New Estimation Approach to Integrate Latent Psychological Constructs in Choice Modeling |
| 摘要： | The project team proposes a new multinomial probit-based model formulation for integrated choice and latent variable (ICLV) models, which has several important advantages relative to the traditional logit kernel-based ICLV formulation. Combining this multinomial probit (MNP)-based ICLV model formulation with Bhat’s maximum approximate composite marginal likelihood (MACML) inference approach resolves the specification and estimation challenges that are typically encountered with the traditional ICLV formulation estimated using simulation approaches. The project team's proposed approach can provide very substantial computational time advantages, because the dimensionality of integration in the log-likelihood function is independent of the number of latent variables. Further, the team's proposed approach easily accommodates ordinal indicators for the latent variables, as well as combinations of ordinal and continuous response indicators. The approach can be extended in a relatively straightforward fashion to also include nominal indicator variables. A simulation exercise in the virtual context of travel mode choice will be designed to evaluate the ability of the MACML approach to recover model parameters. |
| 状态： | Completed |
| 资金： | 20000 |
| 资助组织： | Office of the Assistant Secretary for Research and Technology |
| 项目负责人： | Bhat, Chandra R |
| 执行机构： | Data-Supported Transportation Operations and Planning Center |
| 开始时间： | 20130930 |
| 预计完成日期： | 20140930 |
| 实际结束时间： | 20140930 |
| 主题领域： | Highways；Planning and Forecasting |
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