IDEAS home Printed from https://ideas.repec.org/p/ags/aaea01/20626.html
   My bibliography  Save this paper

Explaining Household Location Choices Using A Spatial Probit Model

Author

Listed:
  • Ozturk, Erdogan
  • Irwin, Elena G.

Abstract

A spatial probit model is estimated to test the influence of public services and neighborhood characteristics on relocation decisions of homebuyers in the Columbus, Ohio region. The model explicitly accounts for the spatial error autocorrelation that arises due to unobserved similarities across alternatives, which, if uncontrolled, results in inconsistent parameter estimates.

Suggested Citation

  • Ozturk, Erdogan & Irwin, Elena G., 2001. "Explaining Household Location Choices Using A Spatial Probit Model," 2001 Annual meeting, August 5-8, Chicago, IL 20626, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    • Handle: RePEc:ags:aaea01:20626
    DOI: 10.22004/ag.econ.20626
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/20626/files/sp01oz01.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.20626?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Richard Alba & John Logan, 1991. "Variations on two themes: Racial and ethnic patterns in the attainment of suburban residence," Demography, Springer;Population Association of America (PAA), vol. 28(3), pages 431-453, August.
    2. Goodspeed, Timothy J., 1998. "On the importance of public choice in migration models," Economics Letters, Elsevier, vol. 59(3), pages 373-379, June.
    3. Rubinfeld, Daniel L & Shapiro, Perry & Roberts, Judith, 1987. "Tiebout Bias and the Demand for Local Public Schooling," The Review of Economics and Statistics, MIT Press, vol. 69(3), pages 426-437, August.
    4. Hamilton, Bruce W, 1976. "The Effects of Property Taxes and Local Public Spending on Property Values: A Theoretical Comment," Journal of Political Economy, University of Chicago Press, vol. 84(3), pages 647-650, June.
    5. Edel, Matthew & Sclar, Elliott, 1974. "Taxes, Spending, and Property Values: Supply Adjustment in a Tiebout-Oates Model," Journal of Political Economy, University of Chicago Press, vol. 82(5), pages 941-954, Sept./Oct.
    6. Denis Bolduc & Bernard Fortin & Stephen Gordon, 1997. "Multinomial Probit Estimation of Spatially Interdependent Choices: An Empirical Comparison of Two New Techniques," International Regional Science Review, , vol. 20(1-2), pages 77-101, April.
    7. Daniel P. McMillen, 1995. "Spatial Effects in Probit Models: A Monte Carlo Investigation," Advances in Spatial Science, in: Luc Anselin & Raymond J. G. M. Florax (ed.), New Directions in Spatial Econometrics, chapter 9, pages 189-228, Springer.
    8. David Brasington, 1999. "Which Measures of School Quality Does the Housing Market Value?," Journal of Real Estate Research, Taylor & Francis Journals, vol. 18(3), pages 395-413, January.
    9. Carlos Arias & THOMAS L. COX, 1999. "Maximum Simulated Likelihood: A Brief Introduction for Practitioners," Wisconsin-Madison Agricultural and Applied Economics Staff Papers 421, Wisconsin-Madison Agricultural and Applied Economics Department.
    10. Nechyba, Thomas J. & Strauss, Robert P., 1998. "Community choice and local public services: A discrete choice approach," Regional Science and Urban Economics, Elsevier, vol. 28(1), pages 51-73, January.
    11. Pinkse, Joris & Slade, Margaret E., 1998. "Contracting in space: An application of spatial statistics to discrete-choice models," Journal of Econometrics, Elsevier, vol. 85(1), pages 125-154, July.
    12. John Logan & Richard Alba, 1993. "Locational returns to human capital: Minority access to suburban community resources," Demography, Springer;Population Association of America (PAA), vol. 30(2), pages 243-268, May.
    13. Arias, Carlos & Cox, Thomas L., 1999. "Maximum Simulated Likelihood: A Brief Introduction For Practitioners," Staff Papers 12662, University of Wisconsin-Madison, Department of Agricultural and Applied Economics.
    14. Joseph Friedman, 1981. "A Conditional Logit Model of the Role of Local Public Services in Residential Choice," Urban Studies, Urban Studies Journal Limited, vol. 18(3), pages 347-358, October.
    15. Hoyt, William H. & Rosenthal, Stuart S., 1997. "Household Location and Tiebout: Do Families Sort According to Preferences for Locational Amenities?," Journal of Urban Economics, Elsevier, vol. 42(2), pages 159-178, September.
    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. Bayoh, Isaac & Irwin, Elena G. & Haab, Timothy C., 2002. "Flight From Blight Vs. Natural Evolution: Determinats Of Household Residential Location Choice And Suburbanization," 2002 Annual meeting, July 28-31, Long Beach, CA 19668, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).

    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. Schmidheiny, Kurt, 2006. "Income segregation and local progressive taxation: Empirical evidence from Switzerland," Journal of Public Economics, Elsevier, vol. 90(3), pages 429-458, February.
    2. David Stadelmann & Steve Billon, 2012. "Capitalisation of Fiscal Variables and Land Scarcity," Urban Studies, Urban Studies Journal Limited, vol. 49(7), pages 1571-1594, May.
    3. Dahlberg, M. & Fredriksson, P., 2001. "Migration and Local Public Services," Papers 2001-12, Uppsala - Working Paper Series.
    4. Isaiah Hull & Anna Grodecka-Messi, 2022. "Measuring the Impact of Taxes and Public Services on Property Values: A Double Machine Learning Approach," Papers 2203.14751, arXiv.org.
    5. Bhat, Chandra R., 2011. "The maximum approximate composite marginal likelihood (MACML) estimation of multinomial probit-based unordered response choice models," Transportation Research Part B: Methodological, Elsevier, vol. 45(7), pages 923-939, August.
    6. Anping Chen & Marlon Boarnet & Mark Partridge & Raffaella Calabrese & Johan A. Elkink, 2014. "Estimators Of Binary Spatial Autoregressive Models: A Monte Carlo Study," Journal of Regional Science, Wiley Blackwell, vol. 54(4), pages 664-687, September.
    7. Sigal Kaplan & Shlomo Bekhor & Yoram Shiftan, 2011. "Development and estimation of a semi-compensatory residential choice model based on explicit choice protocols," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 47(1), pages 51-80, August.
    8. Henry W. Chappell & Paulo Guimarães & Orgül Demet Öztürk, 2011. "Confessions of an internet monopolist: demand estimation for a versioned information good," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 32(1), pages 1-15, January.
    9. Saltz, Ira S. & Capener, Don, 2016. "60 Years Later and Still Going Strong: The Continued Relevance of the Tiebout Hypothesis," Journal of Regional Analysis and Policy, Mid-Continent Regional Science Association, vol. 46(01).
    10. Christian A. L. Hilber, 2017. "The Economic Implications of House Price Capitalization: A Synthesis," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 45(2), pages 301-339, April.
    11. Brülhart, Marius & Bucovetsky, Sam & Schmidheiny, Kurt, 2015. "Taxes in Cities," Handbook of Regional and Urban Economics, in: Gilles Duranton & J. V. Henderson & William C. Strange (ed.), Handbook of Regional and Urban Economics, edition 1, volume 5, chapter 0, pages 1123-1196, Elsevier.
    12. Parviainen, Seija, 1998. "Redistribution and Risk Sharing in EMU," Discussion Papers 159, VATT Institute for Economic Research.
    13. Ignatius J. Horstmann & Kimberley A. Scharf, 2008. "A Theory of Distributional Conflict, Voluntarism and Segregation," Economic Journal, Royal Economic Society, vol. 118(527), pages 427-453, March.
    14. Laura Tach & Barrett Lee & Michael Martin & Lauren Hannscott, 2019. "Fragmentation or Diversification? Ethnoracial Change and the Social and Economic Heterogeneity of Places," Demography, Springer;Population Association of America (PAA), vol. 56(6), pages 2193-2227, December.
    15. repec:asg:wpaper:1048 is not listed on IDEAS
    16. Chandra Bhat & Ipek Sener, 2009. "A copula-based closed-form binary logit choice model for accommodating spatial correlation across observational units," Journal of Geographical Systems, Springer, vol. 11(3), pages 243-272, September.
    17. Kyösti Pietola & Alfons Oude Lansink, 2006. "Energy‐saving Technology Choices by Dutch Glasshouse Firms," Journal of Agricultural Economics, Wiley Blackwell, vol. 57(1), pages 129-144, March.
    18. Jorge Martinez- Vazquez, 1983. "Renters' Illusion or Savvy?," Public Finance Review, , vol. 11(2), pages 237-247, April.
    19. Carlos Arias & Vincenzo Atella & Raffaella Castagnini & Federico Perali, 2003. "Estimation of the Sharing Rule between Adults and Children and Related Equivalence Scales within a Collective Consumption Framework," CHILD Working Papers wp07_03, CHILD - Centre for Household, Income, Labour and Demographic economics - ITALY.
    20. Hilber, Christian A. L., 2011. "The economics implications of house price capitalization a survey of an emerging literature," LSE Research Online Documents on Economics 58596, London School of Economics and Political Science, LSE Library.
    21. Clapp, John M. & Nanda, Anupam & Ross, Stephen L., 2008. "Which school attributes matter? The influence of school district performance and demographic composition on property values," Journal of Urban Economics, Elsevier, vol. 63(2), pages 451-466, March.

    More about this item

    Keywords

    Consumer/Household Economics;

    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:ags:aaea01:20626. 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: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/aaeaaea.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.