IDEAS home Printed from https://ideas.repec.org/p/new/wpaper/1809.html

Equilibrium-Disequilibrium Dynamics of the US Housing Market, 2000-2015: A Quantal Response Statistical Equilibrium Approach

Author

Listed:
  • Ozlem Omer

    (Middle East Technical University)

Abstract

In this article, we demonstrate that a quantal response statistical equilibrium approach to the US housing market with the help of maximum entropy method of modeling is a powerful way of revealing different characteristics of the housing market behavior before, during and after the recent housing market crash in the US. In this line, a maximum entropy approach to quantal response statistical equilibrium model (QRSE), introduced by Scharfenaker and Foley (2017), is employed in order to model housing market dynamics in different phases of the most recent housing market cycle using the S&P Case Shiller housing price index for 20 largest- Metropolitan Regions, and Freddie Mac housing price index (FMHPI) for 367 Metropolitan Cities for the US between 2000 and 2015. Estimated model parameters provide an alternative way to understand and explain the behaviors of economic agents, and market dynamics by questioning the traditional economic theory, which takes assumption for the behavior of rational utility maximizing representative agent with self-fulfilled expectations as given.

Suggested Citation

  • Ozlem Omer, 2018. "Equilibrium-Disequilibrium Dynamics of the US Housing Market, 2000-2015: A Quantal Response Statistical Equilibrium Approach," Working Papers 1809, New School for Social Research, Department of Economics.
    • Handle: RePEc:new:wpaper:1809
    as

    Download full text from publisher

    File URL: https://repec.economicpolicyresearch.org/econ/2018/NSSR_WP_092018.pdf
    File Function: First version, 2018
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ellis Scharfenaker & Gregor Semieniuk, 2017. "A Statistical Equilibrium Approach to the Distribution of Profit Rates," Metroeconomica, Wiley Blackwell, vol. 68(3), pages 465-499, July.
    2. Krainer, John, 2001. "A Theory of Liquidity in Residential Real Estate Markets," Journal of Urban Economics, Elsevier, vol. 49(1), pages 32-53, January.
    3. 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.
    4. Duncan K. Foley, 1996. "Statistical Equilibrium In A Simple Labor Market," Metroeconomica, Wiley Blackwell, vol. 47(2), pages 125-147, June.
    5. Joseph Gyourko & Christopher Mayer & Todd Sinai, 2013. "Superstar Cities," American Economic Journal: Economic Policy, American Economic Association, vol. 5(4), pages 167-199, November.
    6. Lucas, Robert E, Jr, 1978. "Asset Prices in an Exchange Economy," Econometrica, Econometric Society, vol. 46(6), pages 1429-1445, November.
    7. Robert J Shiller, 2008. "Historic Turning Points in Real Estate," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 34(1), pages 1-13, Winter.
    8. Soofi, E. S. & Retzer, J. J., 2002. "Information indices: unification and applications," Journal of Econometrics, Elsevier, vol. 107(1-2), pages 17-40, March.
    9. Case, Karl E & Shiller, Robert J, 1989. "The Efficiency of the Market for Single-Family Homes," American Economic Review, American Economic Association, vol. 79(1), pages 125-137, March.
    10. Karl E. Case & Robert J. Shiller, 2003. "Is There a Bubble in the Housing Market?," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 34(2), pages 299-362.
    11. Sims, Christopher A., 2003. "Implications of rational inattention," Journal of Monetary Economics, Elsevier, vol. 50(3), pages 665-690, April.
    12. Glaeser, Edward L. & Gyourko, Joseph & Morales, Eduardo & Nathanson, Charles G., 2014. "Housing dynamics: An urban approach," Journal of Urban Economics, Elsevier, vol. 81(C), pages 45-56.
    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. Daniel L. Tortorice, 2019. "Long-Run Expectations, Learning and the US Housing Market," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 45(4), pages 497-531, October.
    2. Jangho Yang, 2018. "Information Theoretic Approaches In Economics," Journal of Economic Surveys, Wiley Blackwell, vol. 32(3), pages 940-960, July.
    3. Glaeser, Edward L. & Nathanson, Charles G., 2015. "Housing Bubbles," 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 701-751, Elsevier.
    4. Han, Lu & Strange, William C., 2015. "The Microstructure of Housing Markets," 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 813-886, Elsevier.
    5. Ellis Scharfenaker, 2022. "Statistical Equilibrium Methods In Analytical Political Economy," Journal of Economic Surveys, Wiley Blackwell, vol. 36(2), pages 276-309, April.
    6. Gabriele Galati & Federica Teppa & Rob Alessie, 2013. "Heterogeneity in house price dynamics," DNB Working Papers 371, Netherlands Central Bank, Research Department.
    7. Scharfenaker, Ellis, 2020. "Implications of quantal response statistical equilibrium," Journal of Economic Dynamics and Control, Elsevier, vol. 119(C).
    8. Luis Armona & Andreas Fuster & Basit Zafar, 2019. "Home Price Expectations and Behaviour: Evidence from a Randomized Information Experiment," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 86(4), pages 1371-1410.
    9. Piazzesi, M. & Schneider, M., 2016. "Housing and Macroeconomics," Handbook of Macroeconomics, in: J. B. Taylor & Harald Uhlig (ed.), Handbook of Macroeconomics, edition 1, volume 2, chapter 0, pages 1547-1640, Elsevier.
    10. Vasilios Plakandaras & Ioannis Pragidis & Paris Karypidis, 2024. "Deciphering the U.S. metropolitan house price dynamics," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 52(2), pages 434-485, March.
    11. Fève, Patrick & Moura, Alban, 2024. "Frictionless house-price momentum," Journal of Economic Dynamics and Control, Elsevier, vol. 168(C).
    12. Stefano Colonnello & Roberto Marfè & Qizhou Xiong, 2021. "Housing Yields," Working Papers 2021:21, Department of Economics, University of Venice "Ca' Foscari", revised 2021.
    13. Alexander N. Bogin & William M. Doerner & William D. Larson, 2020. "Correction to: Local House Price Paths: Accelerations, Declines, and Recoveries," The Journal of Real Estate Finance and Economics, Springer, vol. 61(4), pages 732-733, November.
    14. Alessandra Canepa & Emilio Zanetti Chini & Huthaifa Alqaralleh, 2020. "Global Cities and Local Housing Market Cycles," The Journal of Real Estate Finance and Economics, Springer, vol. 61(4), pages 671-697, November.
    15. Andrew Caplin & John Leahy, 2011. "Trading Frictions and House Price Dynamics," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 43, pages 283-303, October.
    16. Eric Smith, 2020. "High and Low Activity Spells in Housing Markets," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 36, pages 1-28, April.
    17. Nobel Prize Committee, 2013. "Understanding Asset Prices," Nobel Prize in Economics documents 2013-1, Nobel Prize Committee.
    18. McDuff, DeForest, 2011. "Demand substitution across US cities: Observable similarity and home price correlation," Journal of Urban Economics, Elsevier, vol. 70(1), pages 1-14, July.
    19. José Cerón & Javier Suarez, 2006. "Hot and Cold Housing Markets: International Evidence," Working Papers wp2006_0603, CEMFI.
    20. Martijn I. Dröes & Marc K. Francke, 2018. "What Causes the Positive Price-Turnover Correlation in European Housing Markets?," The Journal of Real Estate Finance and Economics, Springer, vol. 57(4), pages 618-646, November.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • C18 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Methodolical Issues: General
    • D89 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Other
    • D90 - Microeconomics - - Micro-Based Behavioral Economics - - - General
    • E30 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - General (includes Measurement and Data)
    • G01 - Financial Economics - - General - - - Financial Crises
    • R39 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - Other

    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:new:wpaper:1809. 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: Mark Setterfield (email available below). General contact details of provider: https://edirc.repec.org/data/denewus.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.