Repeat Sales Indexes: Estimation Without Assuming that Errors in Asset Returns Are Independently Distributed
AbstractThis paper proposes an alternative specification for the second stage of the Case-Shiller repeat sales method. This specification is based on serial correlation in the deviations from the mean one-period returns on the underlying individual assets, whereas the original Case-Shiller method assumes that the deviations from mean returns by the underlying individual assets are i.i.d. The methodology proposed in this paper is easy to implement and provides more accurate estimates of the standard errors of returns under serial correlation. The repeat sales methodology is generally used to construct an index of prices or returns for unique, infrequently traded assets such as houses, art, and musical instruments which are likely to be prone to exhibit serial correlation in returns. We demonstrate our methodology on a dataset of art prices and on a dataset of real estate prices from the city of Amsterdam.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoPaper provided by C.E.P.R. Discussion Papers in its series CEPR Discussion Papers with number 7344.
Date of creation: Jun 2009
Date of revision:
Contact details of provider:
Postal: Centre for Economic Policy Research, 77 Bastwick Street, London EC1V 3PZ.
Phone: 44 - 20 - 7183 8801
Fax: 44 - 20 - 7183 8820
Other versions of this item:
- Kathryn Graddy & Jonathan Hamilton & Rachel Pownall, 2012. "Repeat‐Sales Indexes: Estimation without Assuming that Errors in Asset Returns Are Independently Distributed," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 40(1), pages 131-166, 03.
- C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
- C29 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Other
- G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
This paper has been announced in the following NEP Reports:
- NEP-ALL-2009-07-11 (All new papers)
- NEP-CUL-2009-07-11 (Cultural Economics)
- NEP-URE-2009-07-11 (Urban & Real Estate Economics)
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Hwang, Min & Quigley, John M., 2003.
"Selectivity, Quality Adjustment and Mean Reversion in the Measurement of House Values,"
Berkeley Program on Housing and Urban Policy, Working Paper Series
qt4045q0v3, Berkeley Program on Housing and Urban Policy.
- Min Hwang & John M. Quigley, 2004. "Selectivity, Quality Adjustment and Mean Reversion in the Measurement of House Values," The Journal of Real Estate Finance and Economics, Springer, vol. 28(2_3), pages 161-178, 03.
- Andrew W. Lo & A. Craig MacKinlay, 1987.
"Stock Market Prices Do Not Follow Random Walks: Evidence From a Simple Specification Test,"
NBER Working Papers
2168, National Bureau of Economic Research, Inc.
- Andrew W. Lo, A. Craig MacKinlay, 1988. "Stock Market Prices do not Follow Random Walks: Evidence from a Simple Specification Test," Review of Financial Studies, Society for Financial Studies, vol. 1(1), pages 41-66.
- James M. Poterba & Lawrence H. Summers, 1987.
"Mean Reversion in Stock Prices: Evidence and Implications,"
NBER Working Papers
2343, National Bureau of Economic Research, Inc.
- Poterba, James M. & Summers, Lawrence H., 1988. "Mean reversion in stock prices : Evidence and Implications," Journal of Financial Economics, Elsevier, vol. 22(1), pages 27-59, October.
- Roll, Richard, 1983. "On computing mean returns and the small firm premium," Journal of Financial Economics, Elsevier, vol. 12(3), pages 371-386, November.
- Goetzmann, William Nelson, 1992.
"The Accuracy of Real Estate Indices: Repeat Sale Estimators,"
The Journal of Real Estate Finance and Economics,
Springer, vol. 5(1), pages 5-53, March.
- Goetzmann, W.N., 1990. "The Accuracy Of Real Estimate Indices: Repeat Sale Estimators," Papers fb-_90-17, Columbia - Graduate School of Business.
- Jesse M. Abraham & William S. Schauman, 1991. "New Evidence on Home Prices from Freddie Mac Repeat Sales," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 19(3), pages 333-352.
- William Goetzmann & Liang Peng, 2001.
"The Bias of the RSR Estimator and the Accuracy of Some Alternatives,"
Yale School of Management Working Papers
ysm174, Yale School of Management, revised 01 Mar 2001.
- William N. Goetzmann & Liang Peng, 2002. "The Bias of the RSR Estimator and the Accuracy of Some Alternatives," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 30(1), pages 13-39.
- William N. Goetzmann & Liang Peng, 2001. "The Bias of the RSR Estimator and the Accuracy of Some Alternatives," NBER Technical Working Papers 0270, National Bureau of Economic Research, Inc.
- Jianping Mei & Michael Moses, 2002. "Art as an Investment and the Underperformance of Masterpieces," American Economic Review, American Economic Association, vol. 92(5), pages 1656-1668, December.
- Graddy, Kathryn & Margolis, Philip, 2007.
"Fiddling with Value: Violins as an Investment?,"
CEPR Discussion Papers
6583, C.E.P.R. Discussion Papers.
- Goetzmann, William N, 1993. "Accounting for Taste: Art and the Financial Markets over Three Centuries," American Economic Review, American Economic Association, vol. 83(5), pages 1370-76, December.
- James Bugden, 2014. "Quality-Adjusted Repeat-Sale House Price Indices," Working Papers 2014.01, School of Economics, La Trobe University.
If references are entirely missing, you can add them using this form.