IDEAS home Printed from https://ideas.repec.org/p/hhs/gunwpe/0232.html
   My bibliography  Save this paper

Efficiency In Housing Markets: Do Home Buyers Know How To Discount?

Author

Listed:
  • Hjalmarsson, Erik

    (Division of International Finance, Federal Reserve Board)

  • Hjalmarsson, Randi

    (University of Maryland, School of Public Policy)

Abstract

We test for efficiency in the market for Swedish co-ops by examining the negative relationship between the sales price and the present value of future rents. If the co-op housing market is efficient, the present value of co-op rental payments due to underlying debt obligations of the cooperative should be fully reflected in the sales price. However, we find that, on average, a one hundred kronor increase in the present value of future rents only leads to a 45 to 65 kronor reduction in the sales price; co-ops with higher rents are thus relatively overpriced compared to those with lower rents. Our analysis indicates that pricing tends to be more efficient in areas with higher educated and wealthier buyers. By relying on cross-sectional relationships in the data, our results are less sensitive to transaction costs and other frictions than time-series tests of housing market efficiency.

Suggested Citation

  • Hjalmarsson, Erik & Hjalmarsson, Randi, 2006. "Efficiency In Housing Markets: Do Home Buyers Know How To Discount?," Working Papers in Economics 232, University of Gothenburg, Department of Economics.
  • Handle: RePEc:hhs:gunwpe:0232
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/2077/2686
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Linneman, Peter, 1986. "An empirical test of the efficiency of the housing market," Journal of Urban Economics, Elsevier, vol. 20(2), pages 140-154, September.
    2. John Y. Campbell, 2006. "Household Finance," Journal of Finance, American Finance Association, vol. 61(4), pages 1553-1604, August.
    3. Turner, Bengt, 1997. "Housing Cooperatives in Sweden: The Effects of Financial Deregulation," The Journal of Real Estate Finance and Economics, Springer, vol. 15(2), pages 193-217, October.
    4. Guntermann, Karl L & Norrbin, Stefan C, 1991. "Empirical Tests of Real Estate Market Efficiency," The Journal of Real Estate Finance and Economics, Springer, vol. 4(3), pages 297-313, September.
    5. 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.
    6. Karl E. Case & Robert J. Shiller, 1988. "The behavior of home buyers in boom and post-boom markets," New England Economic Review, Federal Reserve Bank of Boston, issue Nov, pages 29-46.
    7. Case, Bradford & Quigley, John M, 1991. "The Dynamics of Real Estate Prices," The Review of Economics and Statistics, MIT Press, vol. 73(1), pages 50-58, February.
    8. Meese Richard & Wallace Nancy, 1994. "Testing the Present Value Relation for Housing Prices: Should I Leave My House in San Francisco?," Journal of Urban Economics, Elsevier, vol. 35(3), pages 245-266, May.
    9. Hwang, Min & Quigley, John M., 2002. "Price Discovery in Time and Space: The Course of Condominium Prices in Singapore," Department of Economics, Working Paper Series qt260185hr, Department of Economics, Institute for Business and Economic Research, UC Berkeley.
    10. Hill, R. Carter & Sirmans, C. F. & Knight, John R., 1999. "A random walk down main street?," Regional Science and Urban Economics, Elsevier, vol. 29(1), pages 89-103, January.
    11. Karl E. Case & Robert J. Shiller, 1990. "Forecasting Prices and Excess Returns in the Housing Market," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 18(3), pages 253-273, September.
    12. 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, March.
    13. Stuart S. Rosenthal, 1999. "Residential Buildings And The Cost Of Construction: New Evidence On The Efficiency Of The Housing Market," The Review of Economics and Statistics, MIT Press, vol. 81(2), pages 288-302, May.
    14. Englund, Peter & Gordon, Tracy M. & Quigley, John M., 1999. "The Valuation of Real Capital: A Random Walk down Kungsgatan," Journal of Housing Economics, Elsevier, vol. 8(3), pages 205-216, September.
    15. Dean H. Gatzlaff, 1994. "Excess Returns, Inflation and the Efficiency of the Housing Market," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 22(4), pages 553-581, December.
    16. repec:arz:wpaper:eres1999-109 is not listed on IDEAS
    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. Khalid Sekkat & Ariane Szafarz, 2011. "Valuing Homeownership," The Journal of Real Estate Finance and Economics, Springer, vol. 43(4), pages 491-504, November.
    2. Karl Robertsen & Theis Theisen, 2011. "The Impact of Financial Arrangements and Institutional Form on Housing Prices," The Journal of Real Estate Finance and Economics, Springer, vol. 42(3), pages 371-392, April.

    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. Hjalmarsson, Erik & Hjalmarsson, Randi, 2009. "Efficiency in housing markets: Which home buyers know how to discount?," Journal of Banking & Finance, Elsevier, vol. 33(11), pages 2150-2163, November.
    2. Gunther Maier & Shanaka Herath, 2009. "Real Estate Market Efficiency: A Survey of Literature," SRE-Disc sre-disc-2009_07, Institute for Multilevel Governance and Development, Department of Socioeconomics, Vienna University of Economics and Business.
    3. Ghysels, Eric & Plazzi, Alberto & Valkanov, Rossen & Torous, Walter, 2013. "Forecasting Real Estate Prices," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 509-580, Elsevier.
    4. Silje Eretveit & Theis Theisen, 2016. "Efficiency and Justice in the Market for Cooperative Dwellings," International Real Estate Review, Global Social Science Institute, vol. 19(3), pages 297-326.
    5. Luis A. Gil-Alana & Rangan Gupta & Fernando Perez de Gracia, 2016. "Persistence, mean reversion and non-linearities in the US housing prices over 1830--2013," Applied Economics, Taylor & Francis Journals, vol. 48(34), pages 3244-3252, July.
    6. Røed Larsen, Erling & Weum, Steffen, 2008. "Testing the efficiency of the Norwegian housing market," Journal of Urban Economics, Elsevier, vol. 64(2), pages 510-517, September.
    7. Erling Røed Larsen & Dag Einar Sommervoll, 2003. "Rising Inequality of Housing? Evidence from Segmented Housing Price Indices," Discussion Papers 363, Statistics Norway, Research Department.
    8. Yuval Arbel & Danny Ben-Shahar & Eyal Sulganik, 2009. "Mean Reversion and Momentum: Another Look at the Price-Volume Correlation in the Real Estate Market," The Journal of Real Estate Finance and Economics, Springer, vol. 39(3), pages 316-335, October.
    9. Baltagi, Badi H. & Li, Jing, 2015. "Cointegration of matched home purchases and rental price indexes — Evidence from Singapore," Regional Science and Urban Economics, Elsevier, vol. 55(C), pages 80-88.
    10. John V. Duca & John Muellbauer & Anthony Murphy, 2011. "House Prices and Credit Constraints: Making Sense of the US Experience," Economic Journal, Royal Economic Society, vol. 121(552), pages 533-551, May.
    11. Duca, John V. & Muellbauer, John & Murphy, Anthony, 2010. "Housing markets and the financial crisis of 2007-2009: Lessons for the future," Journal of Financial Stability, Elsevier, vol. 6(4), pages 203-217, December.
    12. Malpezzi, Stephen, 1999. "A Simple Error Correction Model of House Prices," Journal of Housing Economics, Elsevier, vol. 8(1), pages 27-62, March.
    13. Felix Schindler, 2014. "Persistence and Predictability in UK House Price Movements," The Journal of Real Estate Finance and Economics, Springer, vol. 48(1), pages 132-163, January.
    14. Felix Schindler, 2013. "Predictability and Persistence of the Price Movements of the S&P/Case-Shiller House Price Indices," The Journal of Real Estate Finance and Economics, Springer, vol. 46(1), pages 44-90, January.
    15. Glaeser, Edward L. & Gyourko, Joseph & Saiz, Albert, 2008. "Housing supply and housing bubbles," Journal of Urban Economics, Elsevier, vol. 64(2), pages 198-217, September.
    16. Jim Clayton, 1998. "Further Evidence on Real Estate Market Efficiency," Journal of Real Estate Research, American Real Estate Society, vol. 15(1), pages 41-58.
    17. Schulz, Rainer & Werwatz, Axel, 2011. "Is there an equilibrating relationship between house prices and replacement cost? Empirical evidence from Berlin," Journal of Urban Economics, Elsevier, vol. 69(3), pages 288-302, May.
    18. Diego A. Salzman & Remco C.J. Zwinkels, 2013. "Behavioural Real Estate," Tinbergen Institute Discussion Papers 13-088/IV/DSF58, Tinbergen Institute.
    19. Karl E Case & John M Quigley & Robert J Shiller, 2003. "Home-buyers, Housing and the Macroeconomy," RBA Annual Conference Volume (Discontinued), in: Anthony Richards & Tim Robinson (ed.),Asset Prices and Monetary Policy, Reserve Bank of Australia.
    20. Karl Case & John Cotter & Stuart Gabriel, 2010. "Housing Risk and Return: Evidence From a Housing Asset-Pricing Model," Working Papers 201005, Geary Institute, University College Dublin.

    More about this item

    Keywords

    Housing markets; Market efficiency; Cooperative housing;
    All these keywords.

    JEL classification:

    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • R21 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Housing Demand
    • R31 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - Housing Supply and Markets

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:hhs:gunwpe:0232. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: . General contact details of provider: https://edirc.repec.org/data/naiguse.html .

    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: Ann-Christin Räätäri Nyström (email available below). General contact details of provider: https://edirc.repec.org/data/naiguse.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.