Estimation of switching models from revealed preferences and stated intentions |
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| Institution: | 1. Lecturer, Department of Agribusiness and Bioresource Economics, Universiti Putra Malaysia (UPM), 43400 UPM, Serdang, Selangor, Malaysia;2. Regents Professor, Department of Agricultural Economics, Oklahoma State University, Stillwater, OK 74078, USA;3. Associate Professor, Department of Agricultural Economics, Oklahoma State University, Stillwater, OK 74078, USA;1. School of Chemical & Biomolecular Engineering, Georgia Institute of Technology, Atlanta, GA, USA;4. Research & Development, Weyerhaeuser NR, Federal Way, WA, USA;5. Department of Chemical and Biomolecular Engineering, Korea Advanced Institute of Science and Technology, Yuseong-gu, Daejeon, Republic of Korea |
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| Abstract: | This paper proposes a methodology for modeling switching behavior using simultaneously cross-sectional revealed preference (RP) data and stated intentions, a type of stated preference (SP) data. With explicit consideration of biases and random errors potentially contained in SP data, combined estimation with RP and SP data can exploit the advantages of both data sources. An empirical analysis of commuters' mode choice shows that the stated intention data have predictive validity if their biases and errors are properly corrected. |
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