IDEAS home Printed from https://ideas.repec.org/p/zbw/tudiwv/22009.html
   My bibliography  Save this paper

A spatial choice model based on random utility

Author

Listed:
  • Müller, Sven

Abstract

Decreasing number of students in Germany lead to the closures of schools due to lack of utilization. Hence, competition between schools will increase. We use a mixed multinomial logit model in order to identify influencing factors of school choice and to regard realistic substitution patterns within the context of forecasting school choice probabilities with changing choice sets over time. Results yield commuting distance as the most important factor, but school characteristics like profiles (math or languages, e.g.) and spatial attributes like centrality have remarkable impact, too. Moreover, the analysis shows heterogeneity in population. For our sample we identify authority responsible (private/public school) as the most important variable to specify substitution patterns. Using the results, we simulate the effects of school closings and openings in realistic scenarios.

Suggested Citation

  • Müller, Sven, 2009. "A spatial choice model based on random utility," Discussion Papers 2/2009, Technische Universität Dresden, "Friedrich List" Faculty of Transport and Traffic Sciences, Institute of Transport and Economics.
  • Handle: RePEc:zbw:tudiwv:22009
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/39241/1/620977477.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Brownstone, David & Train, Kenneth, 1998. "Forecasting new product penetration with flexible substitution patterns," Journal of Econometrics, Elsevier, vol. 89(1-2), pages 109-129, November.
    2. Contreras, Dante, 2002. "Vouchers, School Choice and the Access to Higher Education," Center Discussion Papers 28442, Yale University, Economic Growth Center.
    3. Harold Alderman & Peter F. Orazem & Elizabeth M. Paterno, 2001. "School Quality, School Cost, and the Public/Private School Choices of Low-Income Households in Pakistan," Journal of Human Resources, University of Wisconsin Press, vol. 36(2), pages 304-326.
    4. A Borgers & H Oppewal & M Ponjé & H Timmermans, 1999. "Assessing the Impact of School Marketing: Conjoint Choice Experiments Incorporating Availability and Substitution Effects," Environment and Planning A, , vol. 31(11), pages 1949-1964, November.
    5. Sascha O. Becker & Karolina Ekholm & Robert Jäckle & Marc-Andreas Muendler, 2005. "Location Choice and Employment Decisions: A Comparison of German and Swedish Multinationals," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 141(4), pages 693-731, December.
    6. Brownstone, David & Train, Kenneth, 1999. "Forecasting new product penetration with flexible substitution patterns," University of California Transportation Center, Working Papers qt3tb6j874, University of California Transportation Center.
    7. Bhat, Chandra R. & Gossen, Rachel, 2004. "A mixed multinomial logit model analysis of weekend recreational episode type choice," Transportation Research Part B: Methodological, Elsevier, vol. 38(9), pages 767-787, November.
    8. Brownstone, David & Train, Kenneth, 1999. "Forecasting new product penetration with flexible substitution patterns," University of California Transportation Center, Working Papers qt1j6814b3, University of California Transportation Center.
    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. Chumacero, Rómulo & Paredes, Ricardo, 2011. "Favored child? School choice within the family," MPRA Paper 31838, University Library of Munich, Germany.
    2. Amador, Francisco Javier & González, Rosa Marina & Ramos-Real, Francisco Javier, 2013. "Supplier choice and WTP for electricity attributes in an emerging market: The role of perceived past experience, environmental concern and energy saving behavior," Energy Economics, Elsevier, vol. 40(C), pages 953-966.
    3. Stephen Hynes & Nick Hanley & Cathal O’Donoghue, 2006. "Using Continuous and Finite Mixture Models to Account for Preference Heterogeneity in a group of Outdoor Recreationalists," Working Papers 0602, Rural Economy and Development Programme,Teagasc.
    4. Paleti, Rajesh, 2018. "Generalized multinomial probit Model: Accommodating constrained random parameters," Transportation Research Part B: Methodological, Elsevier, vol. 118(C), pages 248-262.
    5. Herriges, Joseph A. & Phaneuf, Daniel J., 1999. "Controlling for Correlation Across Choice Occasions and Sites in a Repeated Mixed Logit Model of Recreation Demand," Western Region Archives 321717, Western Region - Western Extension Directors Association (WEDA).
    6. Don Fullerton & Li Gan & Miwa Hattori, 2015. "A model to evaluate vehicle emission incentive policies in Japan," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 17(1), pages 79-108, January.
    7. Liu, Ruifeng & ,, 2021. "What We Can Learn from the Interactions of Food Traceable Attributes? a Case Study of Fuji Apple in China," 2021 Conference, August 17-31, 2021, Virtual 315916, International Association of Agricultural Economists.
    8. Frick, Bernd & Barros, Carlos Pestana & Prinz, Joachim, 2010. "Analysing head coach dismissals in the German "Bundesliga" with a mixed logit approach," European Journal of Operational Research, Elsevier, vol. 200(1), pages 151-159, January.
    9. Meredith Fowlie, 2010. "Emissions Trading, Electricity Restructuring, and Investment in Pollution Abatement," American Economic Review, American Economic Association, vol. 100(3), pages 837-869, June.
    10. Weiss, Adam & Habib, Khandker Nurul, 2017. "Examining the difference between park and ride and kiss and ride station choices using a spatially weighted error correlation (SWEC) discrete choice model," Journal of Transport Geography, Elsevier, vol. 59(C), pages 111-119.
    11. Alexandros Dimitropoulos, 2014. "The Influence of Environmental Concerns on Drivers’ Preferences for Electric Cars," Tinbergen Institute Discussion Papers 14-128/VIII, Tinbergen Institute.
    12. Epstein, Andrew J., 2010. "Effects of report cards on referral patterns to cardiac surgeons," Journal of Health Economics, Elsevier, vol. 29(5), pages 718-731, September.
    13. Carlos Barros, 2012. "Sustainable Tourism in Inhambane-Mozambique," CEsA Working Papers 105, CEsA - Centre for African and Development Studies.
    14. Printezis, Iryna & Grebitus, Carola, 2018. "Marketing Channels for Local Food," Ecological Economics, Elsevier, vol. 152(C), pages 161-171.
    15. Bernard Fortin & Nicolas Jacquemet & Bruce Shearer, 2008. "Policy Analysis in Health-Services Market: Accounting for Quality and Quantity," Annals of Economics and Statistics, GENES, issue 91-92, pages 293-319.
    16. Mika Haapanen & Jari Ritsilä, 2001. "Can migration decisions be affected by income taxation policies?," ERSA conference papers ersa01p41, European Regional Science Association.
    17. Siikamki, Juha, 2001. "Valuing Benefits of Finnish Forest Biodiversity Conservation: Fixed and Random Parameter Logit Models for Pooled Contingent Valuation and Contingent Rating/Ranking Survey Data," Western Region Archives 321696, Western Region - Western Extension Directors Association (WEDA).
    18. Laura Mørch Andersen, 2014. "Obtaining Reliable Likelihood Ratio Tests from Simulated Likelihood Functions," PLOS ONE, Public Library of Science, vol. 9(10), pages 1-12, October.
    19. Xiaodong Gong & Arthur van Soest, 2002. "Family Structure and Female Labor Supply in Mexico City," Journal of Human Resources, University of Wisconsin Press, vol. 37(1), pages 163-191.
    20. Basu, Debasis & Hunt, John Douglas, 2012. "Valuing of attributes influencing the attractiveness of suburban train service in Mumbai city: A stated preference approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(9), pages 1465-1476.

    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:zbw:tudiwv:22009. 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: ZBW - Leibniz Information Centre for Economics (email available below). General contact details of provider: https://edirc.repec.org/data/iwtudde.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.