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An Estimatable DCDP Model of Search and Matching in Real Estate Markets

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  • Stuart J. Fowler
  • Jennifer J. Wilgus

Abstract

The primary purpose of this study is to introduce an estimatable model of search and matching in real estate markets. A benefit of developing such a theory is so we may better understand the structure that determines these choices. The DCDP model that we propose produces the following results. First, the model is able to replicate several salient features of real estate markets. Second, the estimation method is able to accurately and efficiently recover the structural demand and supply functions of the buyers and sellers.

Suggested Citation

  • Stuart J. Fowler & Jennifer J. Wilgus, 2011. "An Estimatable DCDP Model of Search and Matching in Real Estate Markets," Working Papers 201105, Middle Tennessee State University, Department of Economics and Finance.
    • Handle: RePEc:mts:wpaper:201105
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    File URL: http://capone.mtsu.edu/berc/working/match1.pdf
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    1. Rust, John, 1987. "Optimal Replacement of GMC Bus Engines: An Empirical Model of Harold Zurcher," Econometrica, Econometric Society, vol. 55(5), pages 999-1033, September.
    2. Geweke, John, 1994. "Priors for Macroeconomic Time Series and Their Application," Econometric Theory, Cambridge University Press, vol. 10(3-4), pages 609-632, August.
    3. Tripathi, Gautam, 2000. "Econometric Methods," Econometric Theory, Cambridge University Press, vol. 16(1), pages 139-142, February.
    4. 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.
    5. Genesove, David & Mayer, Christopher J, 1997. "Equity and Time to Sale in the Real Estate Market," American Economic Review, American Economic Association, vol. 87(3), pages 255-269, June.
    6. Asabere, Paul K & Huffman, Forrest E, 1993. "Price Concessions, Time on the Market, and the Actual Sale Price of Homes," The Journal of Real Estate Finance and Economics, Springer, vol. 6(2), pages 167-174, March.
    7. John Geweke & Michael P. Keane, 1996. "Bayesian inference for dynamic choice models without the need for dynamic programming," Working Papers 564, Federal Reserve Bank of Minneapolis.
    8. Norman G. Miller, 1978. "Time on the Market and Selling Price," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 6(2), pages 164-174, June.
    9. Michael P. Keane & Kenneth I. Wolpin, 2009. "Empirical Applications of Discrete Choice Dynamic Programming Models," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 12(1), pages 1-22, January.
    10. Houser, Daniel, 2003. "Bayesian analysis of a dynamic stochastic model of labor supply and saving," Journal of Econometrics, Elsevier, vol. 113(2), pages 289-335, April.
    11. Ping Cheng & Zhenguo Lin & Yingchun Liu, 2008. "A Model of Time‐on‐Market and Real Estate Price Under Sequential Search with Recall," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 36(4), pages 813-843, December.
    12. Susumu Imai & Neelam Jain & Andrew Ching, 2009. "Bayesian Estimation of Dynamic Discrete Choice Models," Econometrica, Econometric Society, vol. 77(6), pages 1865-1899, November.
    13. Wheaton, William C, 1990. "Vacancy, Search, and Prices in a Housing Market Matching Model," Journal of Political Economy, University of Chicago Press, vol. 98(6), pages 1270-1292, December.
    14. Jeremy C. Stein, 1995. "Prices and Trading Volume in the Housing Market: A Model with Down-Payment Effects," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 110(2), pages 379-406.
    15. Yinger, John, 1981. "A Search Model of Real Estate Broker Behavior," American Economic Review, American Economic Association, vol. 71(4), pages 591-605, September.
    16. Krusell, Per & Smith, Anthony Jr., 1996. "Rules of thumb in macroeconomic equilibrium A quantitative analysis," Journal of Economic Dynamics and Control, Elsevier, vol. 20(4), pages 527-558, April.
    17. Read, Colin, 1997. "Vacancies and Rent Dispersion in a Stochastic Search Model with Generalized Tenant Demand," The Journal of Real Estate Finance and Economics, Springer, vol. 15(3), pages 223-237, November.
    18. Mariano,Roberto & Schuermann,Til & Weeks,Melvyn J. (ed.), 2000. "Simulation-based Inference in Econometrics," Cambridge Books, Cambridge University Press, number 9780521591126, January.
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    More about this item

    Keywords

    Real Estate; Search and Matching; Structural Estimation; MCMC; and Gibbs-Sampler;
    All these keywords.

    JEL classification:

    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • C5 - Mathematical and Quantitative Methods - - Econometric Modeling
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis

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