A New Econometric Approach to Multivariate Count Data Modeling
In the current paper, the authors propose a modeling framework to explicitly link a count data model with an event type multinomial choice model. The proposed framework uses a multinomial probit kernel for the event type choice model and introduces unobserved heterogeneity in both the count and discrete choice components. Additionally, this paper establishes several new results regarding the distribution of the maximum of multivariate normally distributed variables, which form the basis to embed the multinomial probit model within a joint modeling system for multivariate count data. The model is applied for analyzing out-of-home non-work episodes pursued by workers, using data from the National Household Travel Survey
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Supplemental Notes:
- This paper was sponsored by TRB committee ADB10 Traveler Behavior and Values.
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Corporate Authors:
500 Fifth Street, NW
Washington, DC United States 20001 -
Authors:
- Bhat, Chandra R
- 0000-0002-0715-8121
- Paleti, Rajesh
- Castro, Marisol
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Conference:
- Transportation Research Board 93rd Annual Meeting
- Location: Washington DC
- Date: 2014-1-12 to 2014-1-16
- Date: 2014
Language
- English
Media Info
- Media Type: Digital/other
- Features: References; Tables;
- Pagination: 21p
- Monograph Title: TRB 93rd Annual Meeting Compendium of Papers
Subject/Index Terms
- TRT Terms: Activity choices; Choice models; Commuters; Econometric models; Employees; Forecasting; Multinomial probits
- Identifier Terms: National Household Travel Survey
- Subject Areas: Planning and Forecasting; Transportation (General); I72: Traffic and Transport Planning;
Filing Info
- Accession Number: 01518763
- Record Type: Publication
- Report/Paper Numbers: 14-4788
- Files: TRIS, TRB, ATRI
- Created Date: Mar 21 2014 11:26AM