IDEAS home Printed from https://ideas.repec.org/a/ipn/panora/vxiy2015i21p85-120.html
   My bibliography  Save this article

Estimación de la demanda de uso de autos particulares en la zona metropolitana del valle de México: un análisis Tobit

Author

Listed:
  • Santos-Pérez, Rubén.

    (Escuela Superior de Economía, Instituto Politécnico Nacional)

Abstract

En este trabajo se analiza el efecto del ingreso de los hogares, así como de variables socioeconómicas y geográficas sobre la demanda de uso de autos particulares en la Zona Metropolitana del Valle de México. Se emplea un modelo Tobit a fin de captar los efectos de los hogares que demandan el uso de autos y de aquellos hogares que podrían ingresar al mercado. Los resultados muestran que la variable más importante en la determinación del uso de vehículos por parte de los hogares es el ingreso. Además, nuestro estudio muestra que variables como la edad, número de personas ocupadas y distancia, afectan significativamente a la demanda de uso de autos y que el efecto más importante sobre el uso de los mismos se debe a los nuevos consumidores que ingresan al mercado./ In this work the effect of household income is analyzed as well as socioeconomic and geographical demand for use of private cars in the MetropolitanZone of the Mexican Valley variables. A Tobit model to capture the effects of households that demand the use of cars and homes that could be used to enter the market. The results show that the most important in determining the variable vehicle use by households is income. In addition, our study shows that variables such as age, number of employed people and distance, significantly affect the demand for car use and that the most important on the use of the same is due to the new consumers entering the market.

Suggested Citation

  • Santos-Pérez, Rubén., 2015. "Estimación de la demanda de uso de autos particulares en la zona metropolitana del valle de México: un análisis Tobit," Panorama Económico, Escuela Superior de Economía, Instituto Politécnico Nacional, vol. 0(21), pages 85-120, segundo s.
  • Handle: RePEc:ipn:panora:v:xi:y:2015:i:21:p:85-120
    as

    Download full text from publisher

    File URL: http://yuss.me/revistas/panorama/pano2015v11n21a04p085_120.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Amemiya, Takeshi, 1973. "Regression Analysis when the Dependent Variable is Truncated Normal," Econometrica, Econometric Society, vol. 41(6), pages 997-1016, November.
    2. Nolan, Anne, 2002. "The Determinants of Urban Households' Transport Decisions: A Microeconometric Study using Irish Data," Royal Economic Society Annual Conference 2002 150, Royal Economic Society.
    3. 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.
    4. 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.
    5. Pedro A. Villezca Becerra & Jorge O. Moreno Treviño, 2000. "Análisis del consumo de cerveza en el área metropolitana de Monterrey: Un modelo de respuesta censurada," Estudios Económicos, El Colegio de México, Centro de Estudios Económicos, vol. 15(2), pages 249-280.
    Full references (including those not matched with items on IDEAS)

    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. John Eakins, 2013. "The Determinants of Household Car Ownership: Empirical Evidence from the Irish Household Budget Survey," Surrey Energy Economics Centre (SEEC), School of Economics Discussion Papers (SEEDS) 144, Surrey Energy Economics Centre (SEEC), School of Economics, University of Surrey.
    2. Nolan, Anne, 2010. "A dynamic analysis of household car ownership," Transportation Research Part A: Policy and Practice, Elsevier, vol. 44(6), pages 446-455, July.
    3. Hakim Hammadou & Claire Papaix, 2015. "Policy packages for modal shift and CO2 reduction in Lille, France," Working Papers 1501, Chaire Economie du climat.
    4. Commins, Nicola & Nolan, Anne, 2011. "The determinants of mode of transport to work in the Greater Dublin Area," Transport Policy, Elsevier, vol. 18(1), pages 259-268, January.
    5. Orsi, Francesco & Geneletti, Davide, 2014. "Assessing the effects of access policies on travel mode choices in an Alpine tourist destination," Journal of Transport Geography, Elsevier, vol. 39(C), pages 21-35.
    6. Samir Ghazouani & Mohamed Goaïed, 1993. "Analyse micro-économétrique de la demande de transport urbain pour la ville de Tunis," Économie et Prévision, Programme National Persée, vol. 108(2), pages 47-62.
    7. repec:cec:wpaper:1415 is not listed on IDEAS
    8. Salon, Deborah, 2009. "Neighborhoods, cars, and commuting in New York City: A discrete choice approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 43(2), pages 180-196, February.
    9. Rachel Weinberger & Frank Goetzke, 2010. "Unpacking Preference: How Previous Experience Affects Auto Ownership in the United States," Urban Studies, Urban Studies Journal Limited, vol. 47(10), pages 2111-2128, September.
    10. Jan U. Becker & Sönke Albers, 2016. "The limits of analyzing service quality data in public transport," Transportation, Springer, vol. 43(5), pages 823-842, September.
    11. Sofie Balcaen & Sophie Manigart & Hubert Ooghe, 2011. "From distress to exit: determinants of the time to exit," Journal of Evolutionary Economics, Springer, vol. 21(3), pages 407-446, August.
    12. Klos, Alexander & Rottke, Simon, 2013. "Saving and Consumption When Children Move Out," VfS Annual Conference 2013 (Duesseldorf): Competition Policy and Regulation in a Global Economic Order 79786, Verein für Socialpolitik / German Economic Association.
    13. Golob, Thomas F., 1988. "Structural Equation Modeling of Travel Choice Dynamics," University of California Transportation Center, Working Papers qt2kj325qv, University of California Transportation Center.
    14. Sengupta Anirban & Wiggins Steven N., 2012. "Comparing Price Dispersion on and off the Internet Using Airline Transaction Data," Review of Network Economics, De Gruyter, vol. 11(1), pages 1-38, March.
    15. Cox, Thomas L. & Briggs, Hugh, 1989. "Heteroscedastic Tobit Models: The Household Demand for Fresh Potatoes Revisited," Staff Papers 200482, University of Wisconsin-Madison, Department of Agricultural and Applied Economics.
    16. Callaway, Brantly & Li, Tong & Oka, Tatsushi, 2018. "Quantile treatment effects in difference in differences models under dependence restrictions and with only two time periods," Journal of Econometrics, Elsevier, vol. 206(2), pages 395-413.
    17. Linnemann, Hans & Verbruggen, Harmen, 1991. "GSTP tariff reduction and its effects on south-south trade in manufactures," World Development, Elsevier, vol. 19(5), pages 539-551, May.
    18. Golob, Thomas F. & Van Wissen, Leo, 1989. "A Joint Household Travel Distance Generation And Car Ownership Model," University of California Transportation Center, Working Papers qt72h4k912, University of California Transportation Center.
    19. K. -L. Wang & Y. -T. Tseng & C. -C. Weng, 2003. "A study of production efficiencies of integrated securities firms in Taiwan," Applied Financial Economics, Taylor & Francis Journals, vol. 13(3), pages 159-167.
    20. Bai, Junfei & Wahl, Thomas I. & McCluskey, Jill J., 2008. "Fluid milk consumption in urban Qingdao, China," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 52(2), pages 1-15.
    21. Lilun Du & Qing Li, 2020. "A Data-Driven Approach to High-Volume Recruitment: Application to Student Admission," Manufacturing & Service Operations Management, INFORMS, vol. 22(5), pages 942-957, September.

    More about this item

    Keywords

    ingreso de hogares; modelo tobit; Valle de México; autos./ household income; tobit; Valley of Mexico; cars.;
    All these keywords.

    JEL classification:

    • C24 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Truncated and Censored Models; Switching Regression Models; Threshold Regression Models
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • R21 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Housing Demand
    • R41 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Transportation: Demand, Supply, and Congestion; Travel Time; Safety and Accidents; Transportation Noise

    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:ipn:panora:v:xi:y:2015:i:21:p:85-120. 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: Juan Marroquín-Arreola (email available below). General contact details of provider: https://edirc.repec.org/data/eeipnmx.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.