Apartment prices, the business cycle and time on market: Evidence from Bucharest
DOI: https://doi.org/10.3846/ijspm.2025.23319Abstract
The issue of time on market (TOM) correlation with the sale price remains under-explored considering the importance and complexity of the housing market. This paper argues that TOM is influenced by variables other than transaction prices and tests the hypothesis that the business cycle is important in explaining the dynamics of TOM and driving transaction prices in the housing market. In testing this hypothesis, the paper investigates the role of transaction prices and TOM in the housing market in Bucharest, Romania using granular observations of 32,000 price listings over the period 2013–2017, a time-scale that captures the economic recovery phase following the global financial crisis. The analysis shows that spatial correlation is strong for TOM rather than weak and that reinforcing spatial effects evidenced among TOM in transactions of closed units would reflect the strong clustering in prices but are balanced in a type of (contrary sign) distribution effect that diminish the whole spatial impact in TOM in similar size, describing a corrective mechanism leading to a more balanced impact on TOM. Results show that GDP affects transaction prices pro-cyclically (0.062%) and with persistence (0.054%), while only GDP growth (the cycle) influences TOM (0.352%).
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TOM, housing prices, business cycle, spatial error effectsHow to Cite
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References
Adams, Z., & Füss, R. (2010). Macroeconomic determinants of international housing markets. Journal of Housing Economics, 19(1), 38–50. https://doi.org/10.1016/j.jhe.2009.10.005
An, Z., Cheng, P., Lin, Z., & Liu, Y. (2013). How do market conditions impact price-TOM relationship? Evidence from real estate owned (REO) sales. Journal of Housing Economics, 22(3), 250–263. https://doi.org/10.1016/j.jhe.2013.07.003
Anglin, P. M., Rutherford, R., & Springer, T. M. (2003). The trade-off between the selling price of residential properties and time-on-the-market: The impact of price setting. Journal of Real Estate Finance and Economics, 26(1), 95–111. https://doi.org/10.1023/A:1021526332732
Anselin, L., & Rey, S. J. (2014). Modern spatial econometrics in practice: A guide to GeoDa, GeoDaSpace and PySAL. GeoDa Press LLC.
Asabere, P., Huffman, F., & Mehdian, S. (1993). Mispricing and optimal time on the market. Journal of Real Estate Research, 8(1), 149–155. https://doi.org/10.1080/10835547.1993.12090697
Björklund, K., Dadzie, J. A., & Wilhelmsson, M. (2006). Offer price, transaction price and time‐on‐market. Property Management, 24(4), 415–426. https://doi.org/10.1108/02637470610671631
Cajias, M., & Zeitler, J.-A. (2023). Quantifying the drivers of residential housing demand – an interpretable machine learning approach. Journal of European Real Estate Research, 16(2), 172–199. https://doi.org/10.1108/JERER-02-2023-0008
Carrillo, P. E., & Pope, J. C. (2012). Are homes hot or cold potatoes? The distribution of marketing time in the housing market. Regional Science and Urban Economics, 42(1–2), 189–197. https://doi.org/10.1016/j.regsciurbeco.2011.08.010
Case, K. E., Quigley, J. M., & Shiller, R. J. (2005). Comparing wealth effects: The stock market versus the housing market. Advances in Macroeconomics, 5(1), Article 1. https://doi.org/10.2202/1534-6013.1235
Case, K. E., Quigley, J. M., & Shiller, R. J. (2011). Wealth effects revisited 1978–2009 (No. w16848). National Bureau of Economic Research. https://doi.org/10.3386/w16848
Chen, S.-S., Lin, T.-Y., & Wang, J.-K. (2024). Monetary policy and housing market cycles. Macroeconomic Dynamics, 28(8), 1682–1714. https://doi.org/10.1017/S1365100523000615
Chinloy, P. (1996). Real estate cycles: Theory and empirical evidence. Journal of Housing Research, 7(2), 173–190.
Cook, S., & Thomas, C. (2003). An alternative approach to examining the ripple effect in UK house prices. Applied Economics Letters, 10(13), 849–851. https://doi.org/10.1080/1350485032000143119
d’Amato, M. (2022). Methodological integration between property market cycle and valuation process: Extended cyclical capitalization models. In M. d’Amato & Y. Coskun (Eds.), Property valuation and market cycle (pp. 277–290). Springer International Publishing. https://doi.org/10.1007/978-3-031-09450-7_18
d’Amato, M., Siniak, N., & Mastrodonato, G. (2019). “Cyclical assets” and cyclical capitalization. Journal of European Real Estate Research, 12(2), 267–288. https://doi.org/10.1108/JERER-05-2018-0022
Daneshvary, N., & Clauretie, T. M. (2013). Agent change and seller bargaining power: A case of principal agent problem in the housing market. The Journal of Real Estate Finance and Economics, 47(3), 416–433. https://doi.org/10.1007/s11146-012-9369-9
Davis, M., & Van Nieuwerburgh, S. (2015). Housing, finance, and the macroeconomy. In G. Duranton, J. V. Henderson, & W. C. Strange (Eds.), Handbook of regional and urban economics (Vol. 5, ch. 12, pp. 753–811). Elsevier. https://doi.org/10.1016/B978-0-444-59531-7.00012-0
Denton, F. T. (1971). Adjustment of monthly or quarterly series to annual totals: An approach based on quadratic minimization. Journal of the American Statistical Association, 66(333), 99–102. https://doi.org/10.1080/01621459.1971.10482227
DiPasquale, D., & Wheaton, W. C. (1996). Urban economics and real estate markets. Prentice Hall.
Dubé, J., & Legros, D. (2016). A spatiotemporal solution for the simultaneous sale price and time‐on‐the‐market problem. Real Estate Economics, 44(4), 846–877. https://doi.org/10.1111/1540-6229.12121
Ferreira, F., & Jalali, M. (2015). Identifying key determinants of housing sales and time-on-the-market (TOM) using fuzzy cognitive mapping. International Journal of Strategic Property Management, 19, 235–244. https://doi.org/10.3846/1648715X.2015.1052587
Forgey, F. A., Rutherford, R. C., & Springer, T. M. (1996). Search and liquidity in single-family housing. Real Estate Economics, 24(3), 273–292. https://doi.org/10.1111/1540-6229.00691
Genesove, D., & Mayer, C. J. (1997). Equity and time to sale in the real estate market. American Economic Review, 87(3), 255–269.
Gupta, R., & Miller, S. M. (2012). “Ripple effects” and forecasting home prices in Los Angeles, Las Vegas, and Phoenix. The Annals of Regional Science, 48(3), 763–782. https://doi.org/10.1007/s00168-010-0416-2
Han, L., & Strange, W. C. (2014). Bidding wars for houses. Real Estate Economics, 42(1), 1–32. https://doi.org/10.1111/reec.12015
Haurin, D. (1988). The duration of marketing time of residential housing. Real Estate Economics, 16(4), 396–410. https://doi.org/10.1111/1540-6229.00463
Haurin, D., Haurin, J. L., Nadauld, T., & Sanders, A. (2010). List prices, sale prices and marketing time: An application to U.S. housing markets. Real Estate Economics, 38(4), 659–685. https://doi.org/10.1111/j.1540-6229.2010.00279.x
Haurin, D., McGreal, S., Adair, A., Brown, L., & Webb, J. R. (2013). List price and sales prices of residential properties during booms and busts. Journal of Housing Economics, 22, 1–10. https://doi.org/10.1016/j.jhe.2013.01.003
Hayunga, D. K., & Pace, R. K. (2019). The impact of TOM on prices in the US housing market. The Journal of Real Estate Finance and Economics, 58, 335–365. https://doi.org/10.1007/s11146-018-9657-0
He, X., Lin, Z., Liu, Y., & Seiler, M. J. (2020). Search benefit in housing markets: An inverted U-Shaped price and TOM relation. Real Estate Economics, 48(3), 772–807. https://doi.org/10.1111/1540-6229.12221
Huang, J. C., & Palmquist, R. B. (2001). Environmental conditions, reservation prices, and time on the market for housing. The Journal of Real Estate Finance and Economics, 22(2), 203–219. https://doi.org/10.1023/A:1007891430162
Janssen, I., Bougie, R., & Pillen, K. (2015). The effect of different pricing strategies in the Dutch housing market (No. eres2015-120). European Real Estate Society (ERES).
Jud, G. D., Seaks, T. G., & Winkler, D. T. (1996). Time on the market: The impact of residential brokerage. Journal of Real Estate Research, 12(3), 447–458. https://doi.org/10.1080/10835547.1996.12090852
Kalra, R., & Chan, K. (1994). Censored sample bias, macroeconomic factors, and time on market of residential housing. Journal of Real Estate Research, 9(2), 253–262. https://doi.org/10.1080/10835547.1994.12090750
Kang, H., & Gardner, M. (1989). Selling price and marketing time in the residential real estate market. Journal of Real Estate Research, 4(1), 21–35. https://doi.org/10.1080/10835547.1989.12090570
Knight, J. R. (2002). Listing price, time on market, and ultimate selling price: Causes and effects of listing price changes. Real Estate Economics, 30(2), 213–237. https://doi.org/10.1111/1540-6229.00038
Lisi, G. (2021). The Mortensen-Pissarides model and the empirical facts of housing markets. Journal of European Real Estate Research, 14(2), 261–273. https://doi.org/10.1108/JERER-07-2020-0044
McGreal, S., Adair, A., Brown, L., & Webb, J. R. (2009). Pricing and time on the market for residential properties in a major U.K. city. Journal of Real Estate Research, 31(2), 209–233. https://doi.org/10.1080/10835547.2009.12091239
McGreal, S., Taltavull de La Paz, P., Kupke, V., Rossini, P., & Kershaw, P. (2016). Measuring the influence of space and time effects on time on the market. Urban Studies, 53(13), 2867–2884. https://doi.org/10.1177/0042098015596923
Meen, G. (1999). Regional house prices and the ripple effect: A new interpretation. Housing Studies, 14(6), 733–753. https://doi.org/10.1080/02673039982524
Nikiforou, P., Dimopoulos, T., & Sivitanides, P. (2022). Identifying how the time on the market affects the selling price: A case study of residential properties in Paphos (Cyprus) urban area. Journal of European Real Estate Research, 15(3), 368–386. https://doi.org/10.1108/JERER-11-2021-0051
Piazzesi, M., & Schneider, M. (2016). Housing and macroeconomics. In J. B. Taylor & H. Uhlig (Eds.), Handbook of macroeconomics (Vol. 2, ch. 19, pp. 1547–1640). Elsevier. https://doi.org/10.3386/w22354
Pryce, G., & Gibb, K. (2006). Submarket dynamics of time to sale. Real Estate Economics, 34(3), 377–415. https://doi.org/10.1111/j.1540-6229.2006.00171.x
Pyhrr, S., Roulac, S., & Born, W. (1999). Real estate cycles and their strategic implications for investors and portfolio managers in the global economy. Journal of Real Estate Research, 18(1), 7–68. https://doi.org/10.1080/10835547.1999.12090986
Rico-Juan, J. R., & Taltavull de La Paz, P. (2021). Machine learning with explainability or spatial hedonics tools? An analysis of the asking prices in the housing market in Alicante, Spain. Expert Systems with Applications, 171, Article 114590. https://doi.org/10.1016/j.eswa.2021.114590
Rossini, P., Kupke, V., Kershaw, P., & Mcgreal, S. (2012). Cross sectional analysis of time on market indicators for an Australian city. Pacific Rim Property Research Journal, 18(4), 407–425. https://doi.org/10.1080/14445921.2012.11104370
Rubio, M., & Carrasco-Gallego, J. A. (2016). Liquidity, interest rates and house prices in the euro area: A DSGE analysis. Journal of European Real Estate Research, 9(1), 4–25. https://doi.org/10.1108/JERER-03-2015-0014
Shie, F. S. (2019). The anchoring effect of historical peak to house price. Journal of Real Estate Research, 41(3), 443–472. https://doi.org/10.22300/0896-5803.41.3.443
Sirmans, C. F., Turnbull, G. K., & Dombrow, J. (1995). Quick house sales: Seller mistake or luck? Journal of Housing Economics, 4(3), 230–243. https://doi.org/10.1006/jhec.1995.1011
Sirmans, G. S., MacDonald, L., & Macpherson, D. (2010). A meta-analysis of selling price and time-on-the-market. Journal of Housing Research, 19(2), 139–152. https://doi.org/10.1080/10835547.2010.12092027
Taltavull de La Paz, P., & White, M. (2012). Fundamental drivers of house price change: The role of money, mortgages, and migration in Spain and the United Kingdom. Journal of Property Research, 29(4), 341–367. https://doi.org/10.1080/09599916.2012.729515
Taltavull de La Paz, P., & White, M. (2016). The sources of house price change: Identifying liquidity shocks to the housing market. Journal of European Real Estate Research, 9(1), 98–120. https://doi.org/10.1108/JERER-11-2015-0041
Taltavull de La Paz, P., López, E., & Juárez, F. (2017). Ripple effect on housing prices. Evidence from tourist markets in Alicante, Spain. International Journal of Strategic Property Management, 21(1), 1–14. https://doi.org/10.3846/1648715X.2016.1241192
Taylor, C. (1999). Time-on-the-market as the sign of quality. Review of Economic Studies, 66(3), 555–578. https://doi.org/10.1111/1467-937X.00098
Wheaton, W. C. (1999). Real estate “cycles”: Some fundamentals. Real Estate Economics, 27(2), 209–230. https://doi.org/10.1111/1540-6229.00772
White, M. (2015). Cyclical and structural change in the UK housing market. Journal of European Real Estate Research, 8(1), 85–103. https://doi.org/10.1108/JERER-02-2014-0011
Yavas, A. (1992). A simple search and bargaining model of real estate markets. Real Estate Economics, 20(4), 533–548. https://doi.org/10.1111/1540-6229.00595
Yavas, A., & Yang, S. (1995). The strategic role of listing price in marketing real estate: Theory and evidence. Real Estate Economics, 23, 347–368. https://doi.org/10.1111/1540-6229.00668
Zabel, J. (2016). A dynamic model of the housing market: The role of vacancies. The Journal of Real Estate Finance and Economics, 53, 368–391. https://doi.org/10.1007/s11146-014-9466-z
Zhou, X., Zahirovic-Herbert, V., & Gibler, K. M. (2018). Time-on-market in Chinese condominium presales. International Journal of Strategic Property Management, 22(3), 191–203. https://doi.org/10.3846/ijspm.2018.1547
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