IDEAS home Printed from https://ideas.repec.org/a/ire/issued/v05n012002p133-145.html
   My bibliography  Save this article

Housing Demand with Random Group Effects

Author

Abstract

This paper examines the random group effect, which has usually not been considered in traditional housing demand studies. Frequently, group level variables are used in housing demand estimation due to the data constraint. For instance, the US Index of Housing Price per administrative area is often used to measure the housing price when estimating the US price elasticity of demand for housing, and the average household income is often used as a proxy for the individual income in Taiwan when estimating the income elasticity of demand for housing. Econometricians argue that the traditional OLS estimation, when the random group effect is ignored, has been considered to have a downward bias in the estimated standard error. By following Amemiya (1978) and Borjas and Sueyoshi (1994), we propose a two-stage estimation technique to estimate housing demand with the random group effect. Using Taiwan’s cross-sectional survey data, we found that the standard error of the estimated coefficient for the group level income variable is underestimated in the traditional unadjusted OLS specification. This finding suggests that there may be a danger of spurious regression in the traditional OLS housing demand estimation.

Suggested Citation

  • Wen-chieh Wu & Sue-Jing Lin, 2002. "Housing Demand with Random Group Effects," International Real Estate Review, Global Social Science Institute, vol. 5(1), pages 133-145.
    • Handle: RePEc:ire:issued:v:05:n:01:2002:p:133-145
    as

    Download full text from publisher

    File URL: https://www.gssinst.org/irer/wp-content/uploads/2020/10/vol-5-no1-housing.pdf
    File Function: Full text
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Chu-Chia Lin & Sue-Jing Lin, 1999. "An Estimation of Elasticities of Consumption Demand and Investment Demand for Owner-Occupied Housing in Taiwan : A Two-Period Model," International Real Estate Review, Global Social Science Institute, vol. 2(1), pages 110-125.
    2. Borjas, George J. & Sueyoshi, Glenn T., 1994. "A two-stage estimator for probit models with structural group effects," Journal of Econometrics, Elsevier, vol. 64(1-2), pages 165-182.
    3. Moulton, Brent R., 1986. "Random group effects and the precision of regression estimates," Journal of Econometrics, Elsevier, vol. 32(3), pages 385-397, August.
    4. Amemiya, Takeshi, 1978. "A Note on a Random Coefficients Model," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 19(3), pages 793-796, October.
    5. Greenlees, John S & Zieschang, Kimberly D, 1984. "Grouping Tests for Misspecification: An Application to Housing Demand," Journal of Business & Economic Statistics, American Statistical Association, vol. 2(2), pages 159-169, April.
    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. Crespi John M. & Marette Stephan, 2009. "Quality, Sunk Costs and Competition," Review of Marketing Science, De Gruyter, vol. 7(1), pages 1-36, August.

    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. Edward Montgomery & John Navin, 1996. "Cross-State Variation in Medicaid Programs and Female Labor Supply," NBER Working Papers 5492, National Bureau of Economic Research, Inc.
    2. Ludsteck, Johannes, 2008. "Wage cyclicality and the wage curve under the microscope," IAB-Discussion Paper 200811, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    3. Borjas, George J. & Sueyoshi, Glenn T., 1994. "A two-stage estimator for probit models with structural group effects," Journal of Econometrics, Elsevier, vol. 64(1-2), pages 165-182.
    4. Daniel Aaronson & Lisa Barrow & William Sander, 2007. "Teachers and Student Achievement in the Chicago Public High Schools," Journal of Labor Economics, University of Chicago Press, vol. 25(1), pages 95-135.
    5. Büttner, Thomas & Jacobebbinghaus, Peter & Ludsteck, Johannes, 2010. "Occupational upgrading and the business cycle in West Germany," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 4, pages 1-37.
    6. Browning, Martin & Crossley, Thomas F., 2001. "Unemployment insurance benefit levels and consumption changes," Journal of Public Economics, Elsevier, vol. 80(1), pages 1-23, April.
    7. Karen Smith Conway, 1999. "Are Workers “Ricardian†? Estimating the Labor Supply Effects of State Fiscal Policy," Public Finance Review, , vol. 27(2), pages 160-193, March.
    8. Devereux, Paul J, 2000. "Task Assignment over the Business Cycle," Journal of Labor Economics, University of Chicago Press, vol. 18(1), pages 98-124, January.
    9. Buddin, Richard J. & Cordes, Joseph J. & Kirby, Sheila Nataraj, 1998. "School Choice in California: Who Chooses Private Schools?," Journal of Urban Economics, Elsevier, vol. 44(1), pages 110-134, July.
    10. Peter Gottschalk & Kathleen M. Lang, 1995. "The Loss in Efficiency from Using Grouped Data," Boston College Working Papers in Economics 289., Boston College Department of Economics.
    11. Heather Antecol, "undated". "An Examination of Cross-Country Differences in the Gender Gap in Labor Force Participation Rates," Canadian International Labour Network Working Papers 37, McMaster University.
    12. Huber, John D. & Stanig, Piero, 2011. "Church-state separation and redistribution," Journal of Public Economics, Elsevier, vol. 95(7), pages 828-836.
    13. George J. Borjas & Glenn T. Sueyoshi, 1997. "Ethnicity and the Intergenerational Transmission of Welfare Dependency," NBER Working Papers 6175, National Bureau of Economic Research, Inc.
    14. L. Bryan, Mark & P. Jenkins, Stephen, 2013. "Regression analysis of country effects using multilevel data: a cautionary tale," ISER Working Paper Series 2013-14, Institute for Social and Economic Research.
    15. Aaronson, Daniel, 1999. "The Effect of School Finance Reform on Population Heterogeneity," National Tax Journal, National Tax Association;National Tax Journal, vol. 52(1), pages 5-29, March.
    16. Even Caroli & John Van Reenen, 1999. "Organization, skill and technology: evidence from a panel of British and French establishments," IFS Working Papers W99/23, Institute for Fiscal Studies.
    17. Michael Baker & Nicole M. Fortin, 1998. "Gender Composition and Wages: Why is Canada different from the United States?," Working Papers baker-98-02, University of Toronto, Department of Economics.
    18. Hansen, Christian B., 2007. "Generalized least squares inference in panel and multilevel models with serial correlation and fixed effects," Journal of Econometrics, Elsevier, vol. 140(2), pages 670-694, October.
    19. Hartog, Joop & Vijverberg, Wim P.M., 2007. "On compensation for risk aversion and skewness affection in wages," Labour Economics, Elsevier, vol. 14(6), pages 938-956, December.
    20. Herrmann, Tabea & Hübler, Olaf & Menkhoff, Lukas & Schmidt, Ulrich, 2016. "Allais for the poor," Kiel Working Papers 2036, Kiel Institute for the World Economy (IfW Kiel).

    More about this item

    Keywords

    Housing Demand; Random Group Effect; Two-stage Estimation;
    All these keywords.

    JEL classification:

    • L85 - Industrial Organization - - Industry Studies: Services - - - Real Estate Services

    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:ire:issued:v:05:n:01:2002:p:133-145. 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: IRER Graduate Assistant/Webmaster (email available below). General contact details of provider: https://www.gssinst.org/gssinst/index.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.