IDEAS home Printed from https://ideas.repec.org/p/cpm/cepmap/9203.html
   My bibliography  Save this paper

Anlyse microéconométrique de la demande de transport urbain pour la ville de tunis

Author

Listed:
  • Ghazouani, S .
  • Goaied, M.

Abstract

[spa] Análisis microeconómico de la demanda de transporte urbano para la ciudad de Túnez, . por Samir Ghazouani y Mohamed Goaïed.. . En este artículo se presenta un análisis de la demanda de transporte urbano para la ciudad de Túnez recurriendose para ello a los modelos de elección discreta, résultantes de una maximización de utilidad aleatoria. Con este fin, se aplican dos versiones de dichos modelos: el Probit independiente y el Logit multinomial. [ger] Mikroökonometrische Analyse der Nachfrage nach stâdtischen Verkehrsleistungen in Tunis, . von Samir Ghazouani und Mohamed Goaïed.. . Dieser Artikel enthält eine Analyse der Nachfrage nach städtischen Verkehrsleistungen in Tunis. Hierbei wird auf die Modelle der diskreten Auswahl zurückgegriffen, die sich aus einer Maximierung des aleatorischen Nutzens ergeben. Zu diesem Zweck kommen zwei besondere Versionen dieser Modelle zur Anwendung, und zwar das unabhängige Probit-Modell und das multinomiale Logit-Modéll. [eng] Micro-econometric Analysis of the Demand for Urban Transport in Tunis, . by Samir Ghazouani and Mohamed Goaïed.. . This article presents an analysis of the demand for urban transport in Tunis by using carefully chosen models resulting from a optimization of random utility. To this end, two distinctive versions of these models are applied: the independent Probit and the multinomial Logit. [fre] Analyse micro-économétrique de la demande de transport urbain pour la ville de Tunis, . par Samir Ghazouani, Mohamed Goaïed.. . Cet article présente une analyse de la demande de transport urbain pour la ville de Tunis en ayant recours aux modèles de choix discret, qui découlent d'une maximisation d'utilité aléatoire. À cette fin, deux versions particulières de ces modèles sont appliquées : leProbit indépendant et le Logit multinomial.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Ghazouani, S . & Goaied, M., 1992. "Anlyse microéconométrique de la demande de transport urbain pour la ville de tunis," CEPREMAP Working Papers (Couverture Orange) 9203, CEPREMAP.
  • Handle: RePEc:cpm:cepmap:9203
    as

    Download full text from publisher

    File URL: http://www.cepremap.fr/depot/couv_orange/co9203.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Kenneth Train, 1980. "A Structured Logit Model of Auto Ownership and Mode Choice," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 47(2), pages 357-370.
    2. Hausman, Jerry A & Wise, David A, 1978. "A Conditional Probit Model for Qualitative Choice: Discrete Decisions Recognizing Interdependence and Heterogeneous Preferences," Econometrica, Econometric Society, vol. 46(2), pages 403-426, March.
    3. Thobani, Mateen, 1984. "A nested logit model of travel mode to work and auto ownership," Journal of Urban Economics, Elsevier, vol. 15(3), pages 287-301, May.
    4. Daniel McFadden, 1986. "The Choice Theory Approach to Market Research," Marketing Science, INFORMS, vol. 5(4), pages 275-297.
    5. Small, Kenneth A & Rosen, Harvey S, 1981. "Applied Welfare Economics with Discrete Choice Models," Econometrica, Econometric Society, vol. 49(1), pages 105-130, January.
    6. McFadden, Daniel, 1989. "A Method of Simulated Moments for Estimation of Discrete Response Models without Numerical Integration," Econometrica, Econometric Society, vol. 57(5), pages 995-1026, September.
    7. Hausman, Jerry & McFadden, Daniel, 1984. "Specification Tests for the Multinomial Logit Model," Econometrica, Econometric Society, vol. 52(5), pages 1219-1240, September.
    8. Kelvin J. Lancaster, 1966. "A New Approach to Consumer Theory," Journal of Political Economy, University of Chicago Press, vol. 74(2), pages 132-132.
    9. Anas, Alex & Feng, Cheng Min, 1988. "Invariance of expected utilities in logit models," Economics Letters, Elsevier, vol. 27(1), pages 41-45.
    10. Bolduc, Denis & Kaci, Mustapha, 1993. "Estimation des modèles probit polytomiques : un survol des techniques," L'Actualité Economique, Société Canadienne de Science Economique, vol. 69(3), pages 161-191, septembre.
    11. Charles E. Clark, 1961. "The Greatest of a Finite Set of Random Variables," Operations Research, INFORMS, vol. 9(2), pages 145-162, April.
    12. Pascal Bouyaux, 1989. "Une difficulté d'interprétation de l'approche Logit : l'exemple de l'économie des transports," Économie et Prévision, Programme National Persée, vol. 91(5), pages 119-131.
    13. Amemiya, Takeshi, 1981. "Qualitative Response Models: A Survey," Journal of Economic Literature, American Economic Association, vol. 19(4), pages 1483-1536, December.
    14. Daniel L. McFadden, 1976. "Quantal Choice Analysis: A Survey," NBER Chapters, in: Annals of Economic and Social Measurement, Volume 5, number 4, pages 363-390, National Bureau of Economic Research, Inc.
    15. McFadden, Daniel, 1974. "The measurement of urban travel demand," Journal of Public Economics, Elsevier, vol. 3(4), pages 303-328, November.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Manel Daldoul & Sami Jarboui & Ahlem Dakhlaoui, 2016. "Public transport demand: dynamic panel model analysis," Transportation, Springer, vol. 43(3), pages 491-505, May.

    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.
    1. Haghani, Milad & Bliemer, Michiel C.J. & Hensher, David A., 2021. "The landscape of econometric discrete choice modelling research," Journal of choice modelling, Elsevier, vol. 40(C).
    2. T.R.L. Fry & R.D. Brooks & Br. Comley & J. Zhang, 1993. "Economic Motivations for Limited Dependent and Qualitative Variable Models," The Economic Record, The Economic Society of Australia, vol. 69(2), pages 193-205, June.
    3. Hausman, Jerry A. & Leonard, Gregory K. & McFadden, Daniel, 1995. "A utility-consistent, combined discrete choice and count data model Assessing recreational use losses due to natural resource damage," Journal of Public Economics, Elsevier, vol. 56(1), pages 1-30, January.
    4. Rinus Haaijer & Michel Wedel & Marco Vriens & Tom Wansbeek, 1998. "Utility Covariances and Context Effects in Conjoint MNP Models," Marketing Science, INFORMS, vol. 17(3), pages 236-252.
    5. Robert Kapłon, 2006. "A retrospective review of categorical data analysis – theory and marketing practice," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 16(1), pages 55-72.
    6. Hanemann, W. Michael & Kanninen, Barbara, 1996. "The Statistical Analysis Of Discrete-Response Cv Data," CUDARE Working Papers 25022, University of California, Berkeley, Department of Agricultural and Resource Economics.
    7. Manuel Trajtenberg, 1985. "The Welfare Analysis of Product Innovations with an Application to CT Scanners," NBER Working Papers 1724, National Bureau of Economic Research, Inc.
    8. Erik Stam & Roy Thurik & Peter van der Zwan, 2010. "Entrepreneurial exit in real and imagined markets," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 19(4), pages 1109-1139, August.
    9. Haaijer, Marinus E., 1996. "Predictions in conjoint choice experiments : the x-factor probit model," Research Report 96B22, University of Groningen, Research Institute SOM (Systems, Organisations and Management).
    10. Bolduc, Denis & Kaci, Mustapha, 1993. "Estimation des modèles probit polytomiques : un survol des techniques," L'Actualité Economique, Société Canadienne de Science Economique, vol. 69(3), pages 161-191, septembre.
    11. Hajivassiliou, Vassilis A. & Ruud, Paul A., 1986. "Classical estimation methods for LDV models using simulation," Handbook of Econometrics, in: R. F. Engle & D. McFadden (ed.), Handbook of Econometrics, edition 1, volume 4, chapter 40, pages 2383-2441, Elsevier.
    12. Mora Rodriguez, Jhon James, 2013. "Introduccion a la teoría del consumidor [Introduction to Consumer Theory]," MPRA Paper 48129, University Library of Munich, Germany, revised 08 Jul 2013.
    13. 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.
    14. Font, Antoni Riera, 2000. "Mass Tourism and the Demand for Protected Natural Areas: A Travel Cost Approach," Journal of Environmental Economics and Management, Elsevier, vol. 39(1), pages 97-116, January.
    15. Borsch-Supan, Axel & Hajivassiliou, Vassilis A., 1993. "Smooth unbiased multivariate probability simulators for maximum likelihood estimation of limited dependent variable models," Journal of Econometrics, Elsevier, vol. 58(3), pages 347-368, August.
    16. Kingsley E. Haynes & Stewart Fotheringham, 1990. "The Impact of Space on the Application Of Discrete Choice Models," The Review of Regional Studies, Southern Regional Science Association, vol. 20(2), pages 39-49, Spring.
    17. 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.
    18. Joan L. Walker & Moshe Ben-Akiva, 2011. "Advances in Discrete Choice: Mixture Models," Chapters, in: André de Palma & Robin Lindsey & Emile Quinet & Roger Vickerman (ed.), A Handbook of Transport Economics, chapter 8, Edward Elgar Publishing.
    19. Vassilis A. Hajivassiliou, 1993. "Simulating Normal Rectangle Probabilities and Their Derivatives: The Effects of Vectorization," Cowles Foundation Discussion Papers 1049, Cowles Foundation for Research in Economics, Yale University.
    20. Eunae Son & Song Soo Lim, 2021. "Consumer Acceptance of Gene-Edited versus Genetically Modified Foods in Korea," IJERPH, MDPI, vol. 18(7), pages 1-17, April.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    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:cpm:cepmap:9203. 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: Sébastien Villemot (email available below). General contact details of provider: https://edirc.repec.org/data/ceprefr.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.