Una Aproximación Microeconométrica a los Determinantes de la Elección del Modo de Transporte. (A Microeconometric Approach to the Determinants of Travel Mode Choice)
AbstractThe transportation system is a fundamental component of the urban economic development, with its generating feature of negative supply externalities standing out (and, as a result, of the satisfied demand for some kind of this supply’s structure) related to congestion and environmental pollution. In this context, the paper studies customers’ reaction in light of changes in the relative prices, to thus evaluate the effect of different political measures. For that reason, a discrete choice model has been designed which reflects the election of travel mode used by commuters around the city of Buenos Aires.
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Bibliographic InfoPaper provided by EconWPA in its series Urban/Regional with number 0504005.
Length: 23 pages
Date of creation: 21 Apr 2005
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Note: Type of Document - doc; pages: 23
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Transportation system; discrete choice models; econometrics; urban economics.;
Find related papers by JEL classification:
- C5 - Mathematical and Quantitative Methods - - Econometric Modeling
- L9 - Industrial Organization - - Industry Studies: Transportation and Utilities
This paper has been announced in the following NEP Reports:
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- McFadden, Daniel L., 2000.
Nobel Prize in Economics documents
2000-6, Nobel Prize Committee.
- Small, K.A. & Gomez-Ibanez, J.A., 1996.
95-96-4, California Irvine - School of Social Sciences.
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- Matzkin, Rosa L, 1992. "Nonparametric and Distribution-Free Estimation of the Binary Threshold Crossing and the Binary Choice Models," Econometrica, Econometric Society, vol. 60(2), pages 239-70, March.
- Bunch, David S., 1991. "Estimability in the Multinomial Probit Model," University of California Transportation Center, Working Papers qt1gf1t128, University of California Transportation Center.
- Bunch, David S., 1991. "Estimability in the multinomial probit model," Transportation Research Part B: Methodological, Elsevier, vol. 25(1), pages 1-12, February.
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