Una Aproximación Microeconométrica a los Determinantes de la Elección del Modo de Transporte. (A Microeconometric Approach to the Determinants of Travel Mode Choice)
Author
Abstract
Suggested Citation
Note: Type of Document - doc; pages: 23
Download full text from publisher
References listed on IDEAS
- Matzkin, Rosa L, 1991. "Semiparametric Estimation of Monotone and Concave Utility Functions for Polychotomous Choice Models," Econometrica, Econometric Society, vol. 59(5), pages 1315-1327, September.
- Small, Kenneth A. & Gomez-Ibanez, Jose A., 1999.
"Urban transportation,"
Handbook of Regional and Urban Economics, in: P. C. Cheshire & E. S. Mills (ed.), Handbook of Regional and Urban Economics, edition 1, volume 3, chapter 46, pages 1937-1999,
Elsevier.
- Small, K.A. & Gomez-Ibanez, J.A., 1996. "Urban Transportation," Papers 95-96-4, California Irvine - School of Social Sciences.
- Daniel McFadden, 2001.
"Economic Choices,"
American Economic Review, American Economic Association, vol. 91(3), pages 351-378, June.
- McFadden, Daniel L., 2000. "Economic Choices," Nobel Prize in Economics documents 2000-6, Nobel Prize Committee.
- McFadden, Daniel, 1974. "The measurement of urban travel demand," Journal of Public Economics, Elsevier, vol. 3(4), pages 303-328, November.
- Bunch, David S., 1991. "Estimability in the Multinomial Probit Model," University of California Transportation Center, Working Papers qt1gf1t128, University of California Transportation Center.
- 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 239-270, March.
- Bunch, David S., 1991. "Estimability in the multinomial probit model," Transportation Research Part B: Methodological, Elsevier, vol. 25(1), pages 1-12, February.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Steffen Andersen & Glenn Harrison & Arne Hole & Morten Lau & E. Rutström, 2012.
"Non-linear mixed logit,"
Theory and Decision, Springer, vol. 73(1), pages 77-96, July.
- Andersen, Steffen & Harrison, Glenn W. & Hole, Arne Risa & Rutström, Elisabet E., 2010. "Non-Linear Mixed Logit," Working Papers 04-2010, Copenhagen Business School, Department of Economics.
- Steffen Andersen & Glenn W. Harrison & Morten Lau & Elisabet E. Rutstroem, 2011. "Non-Linear Mixed Logit," Department of Economics Working Papers 2011_04, Durham University, Department of Economics.
- Josep‐Maria Arauzo‐Carod & Daniel Liviano‐Solis & Miguel Manjón‐Antolín, 2010.
"Empirical Studies In Industrial Location: An Assessment Of Their Methods And Results,"
Journal of Regional Science, Wiley Blackwell, vol. 50(3), pages 685-711, August.
- Arauzo Carod, Josep Maria & Liviano Solís, Daniel & Manjón Antolín, Miguel C., 2008. "Empirical studies in industrial location: an assessment of their methods and results," Working Papers 2072/9257, Universitat Rovira i Virgili, Department of Economics.
- Horowitz, Joel & Keane, Michael & Bolduc, Denis & Divakar, Suresh & Geweke, John & Gonul, Fosun & Hajivassiliou, Vassilis & Koppelman, Frank & Matzkin, Rosa & Rossi, Peter & Ruud, Paul, 1994. "Advances in Random Utility Models," MPRA Paper 53026, University Library of Munich, Germany.
- David Card, 2022.
"Design-Based Research in Empirical Microeconomics,"
American Economic Review, American Economic Association, vol. 112(6), pages 1773-1781, June.
- Card, David, 2021. "Design‐based research in empirical microeconomics," Nobel Prize in Economics documents 2021-3, Nobel Prize Committee.
- David Card, 2022. "Design-Based Research in Empirical Microeconomics," Working Papers 654, Princeton University, Department of Economics, Industrial Relations Section..
- Rub'en Loaiza-Maya & Didier Nibbering, 2022. "Fast variational Bayes methods for multinomial probit models," Papers 2202.12495, arXiv.org, revised Oct 2022.
- Yai, Tetsuo & Iwakura, Seiji & Morichi, Shigeru, 1997. "Multinomial probit with structured covariance for route choice behavior," Transportation Research Part B: Methodological, Elsevier, vol. 31(3), pages 195-207, June.
- Park, Byeong U. & Simar, Léopold & Zelenyuk, Valentin, 2017.
"Nonparametric estimation of dynamic discrete choice models for time series data,"
Computational Statistics & Data Analysis, Elsevier, vol. 108(C), pages 97-120.
- Byeong U. Park & Leopold Simar & Valentin Zelenyuk, 2016. "Nonparametric Estimation of Dynamic Discrete Choice Models for Time Series Data," CEPA Working Papers Series WP062016, School of Economics, University of Queensland, Australia.
- Park, Byeong U. & Simar, Leopold & Zelenyuk, Valentin, 2017. "Nonparametric estimation of dynamic discrete choice models for time series data," LIDAM Reprints ISBA 2017011, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
- Friederike Paetz & Winfried J. Steiner, 2017. "The benefits of incorporating utility dependencies in finite mixture probit models," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 39(3), pages 793-819, July.
- Heng Z. Chen & Frank Lupi & John P. Hoehn, 1999.
"An Empirical Assessment of Multinomial Probit and Logit Models for Recreation Demand,"
Chapters, in: Joseph A. Herriges & Catherine L. Kling (ed.), Valuing Recreation and the Environment, chapter 5, pages 141-162,
Edward Elgar Publishing.
- Chen, Heng Z. & Lupi, Frank & Hoehn, John P., 1997. "An Empirical Assessment of Multinomial Probit and Logit Models for Recreation Demand," Staff Paper Series 201216, Michigan State University, Department of Agricultural, Food, and Resource Economics.
- Geweke, John & Keane, Michael P & Runkle, David, 1994.
"Alternative Computational Approaches to Inference in the Multinomial Probit Model,"
The Review of Economics and Statistics, MIT Press, vol. 76(4), pages 609-632, November.
- John Geweke & Michael P. Keane & David E. Runkle, 1994. "Alternative computational approaches to inference in the multinomial probit model," Staff Report 170, Federal Reserve Bank of Minneapolis.
- Ait-Sahalia, Yacine & Duarte, Jefferson, 2003.
"Nonparametric option pricing under shape restrictions,"
Journal of Econometrics, Elsevier, vol. 116(1-2), pages 9-47.
- Yacine Ait-Sahalia & Jefferson Duarte, 2002. "Nonparametric Option Pricing under Shape Restrictions," NBER Working Papers 8944, National Bureau of Economic Research, Inc.
- Daziano, Ricardo A., 2015. "Inference on mode preferences, vehicle purchases, and the energy paradox using a Bayesian structural choice model," Transportation Research Part B: Methodological, Elsevier, vol. 76(C), pages 1-26.
- Michael Scheidler & Reinhard Hujer & Joachim Grammig, 2005. "Discrete choice modelling in airline network management," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(4), pages 467-486.
- Paul Gertler & Roland Sturm & Bruce Davidson, 1994. "Information and the Demand for Supplemental Medicare Insurance," NBER Working Papers 4700, National Bureau of Economic Research, Inc.
- Brian Blackburn & Aprajit Mahajan & Alessandro Tarozzi & Joanne Yoong, "undated".
"Bednets, Information and Malaria in Orissa,"
Discussion Papers
08-025, Stanford Institute for Economic Policy Research.
- Aprajit Mahajan & Alessandro Tarozzi & Joanne Yoong & Brian Blackburn, 2009. "Bednets, Information and Malaria in Orissa," Working Papers 10-78, Duke University, Department of Economics.
- Ziegler, Andreas, 2001. "Simulated z-tests in multinomial probit models," ZEW Discussion Papers 01-53, ZEW - Leibniz Centre for European Economic Research.
- Daniel McFadden, 2014. "The new science of pleasure: consumer choice behavior and the measurement of well-being," Chapters, in: Stephane Hess & Andrew Daly (ed.), Handbook of Choice Modelling, chapter 2, pages 7-48, Edward Elgar Publishing.
- Hensher, David & Louviere, Jordan & Swait, Joffre, 1998. "Combining sources of preference data," Journal of Econometrics, Elsevier, vol. 89(1-2), pages 197-221, November.
- Rennings, Klaus & Ziegler, Andreas & Zwick, Thomas, 2001. "Employment changes in environmentally innovative firms," ZEW Discussion Papers 01-46, ZEW - Leibniz Centre for European Economic Research.
- David Roodman, 2009. "Estimating Fully Observed Recursive Mixed-Process Models with cmp," Working Papers 168, Center for Global Development.
More about this item
Keywords
Transportation system; discrete choice models; econometrics; urban economics.;All these keywords.
JEL classification:
- C5 - Mathematical and Quantitative Methods - - Econometric Modeling
- L9 - Industrial Organization - - Industry Studies: Transportation and Utilities
NEP fields
This paper has been announced in the following NEP Reports:- NEP-DCM-2005-04-24 (Discrete Choice Models)
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:wpa:wuwpur:0504005. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: EconWPA (email available below). General contact details of provider: https://econwpa.ub.uni-muenchen.de .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.