The Review of Housing Price Models (National and Regional Approaches)

Document Type : Review paper

Authors

Faculty of Economics, Allameh Tabataba’i University, Tehran, Iran.

Abstract

This study reviews the evolution of national and regional housing models that developed and received much attention in the housing economics literature. From this point of view, first, we focus our attention on the econometric modeling of national housing markets and discuss their limitations in twofold: inferring individual-level relations from aggregate-level data or aggregate shocks, and assuming spatial homogeneity in all regions. These two problems will be addressed precisely in the newly developed regional housing market models by identifying the sources of cross-sectoral dependence, namely, spatial and temporal dependence. Spatial dependence refers to how spatial factors influence economic processes. It is measured through a spatial weighting matrix. Cross-sectional dependence stemming from common factors is attributed to economy-wide shocks that affect all individuals with different intensities coming from different macro shocks, such as interest rates, oil prices, and technology shocks.

Keywords

Main Subjects


Abate, G. D. (2017). Spatio-temporal Dynamics of House Prices in the USA. Letters in Spatial and Resource Sciences, 10(2), 141-147.
Abelson, P., Joyeux, R., Milunovich, G., & Chung, D. (2005). Explaining House Prices in Australia: 1970–2003. Economic Record, 81, S96-S103.
Abraham, J. M., & Hendershott, P. H. (1994). Bubbles in Metropolitan Housing Markets. NBER Working Paper, 4774, 1-27.
Algieri, B. (2013). House Price Determinants: Fundamentals and Underlying Factors. Comparative Economic Studies, 55(2), 315-341.
Andrews, D. W. K. (2005). Cross-section Regression with Common Shocks. Econometrica, 73(5), 1551-1585.
Anselin, L. (2001). Spatial Econometrics. A Companion to Theoretical Econometrics. Hoboken, NJ: Blackwell Publishing Ltd.
---------- (1988). Spatial Econometrics: Methods and Models (4). Berlin: Springer Science & Business Media.
Anselin, L., Gallo, J. L., & Jayet, H. (2008). Spatial Panel Econometrics. In The Econometrics of Panel Data: Fundamentals and Recent Developments in Theory and Practice (625-660). Berlin: Springer.
Arnott, R. (1987). Economic Theory and Housing (959–988). In E. S. Mills (Ed.), Handbook of Regional and Urban Economics (2). Amsterdam: Elsevier.
Arnott, R., Braid, R., Davidson, R., & Pines, D. (1999). A General Equilibrium Spatial Model of Housing Quality and Quantity. Regional Science and Urban Economics, 29(3), 283-316.
Arnott, R., Davidson, R., & Pines, D. (1983). Housing Quality, Maintenance and Rehabilitation. The Review of Economic Studies, 50(3), 467-494.
Ashworth, J., & Parker, S. C. (1997). Modelling Regional House Prices in the UK. Scottish Journal of Political Economy, 44(3), 225-246.
Azomahou, T., Diebolt, C., & Mishra, T. (2009). Spatial Persistence of Demographic Shocks and Economic Growth. Journal of Macroeconomics, 31(1), 98-127.
Bai, J. (2009). Panel Data Models with Interactive Fixed Effects. Econometrica, 77(4), 1229-1279.
Bai, J., & Kao, C. (2006). On the Estimation and Inference of a Panel Cointegration Model with Cross-Sectional Dependence. Contributions to Economic Analysis, 274, 3-30.
Bai, J., & Li, K. (2021). Dynamic Spatial Panel Data Models with Common Shocks. Journal of Econometrics, 224(1), 134-160.
---------- (2013). Spatial Panel Data Models with Common Shocks. SSRN, 2373628, 1-43.
Baicker, K. (2005). The Spillover Effects of State Spending. Journal of Public Economics, 89(2-3), 529-544.
Bailey, N., Holly, S., & Pesaran, M. H. (2016). A Two-Stage Approach to Spatio-Temporal Analysis with Strong and Weak Cross-Sectional Dependence. Journal of Applied Econometrics, 31(1), 249-280.
Baltagi, B. H., Egger, P., & Pfaffermayr, M. (2013). A Generalized Spatial Panel Data Model with Random Effects. Econometric Reviews, 32(5-6), 650-685.
Barker, K. (2003). Review of Housing Supply: Securing Our Future Housing Needs: Interim Report: Analysis. Norwich: HM Stationery Office.
Baudewyns, D. (2000). Opening the Black Box of Strategic Interactions of Land Developers. Belgium: ULB-Universite Libre de Bruxelles.
Beenstock, M., & Felsenstein, D. (2007). Spatial Vector Autoregressions. Spatial Economic Analysis, 2(2), 167-196.
Berglund, J. (2007). Determinants and Forecasting of House Prices. Bank of Canada, Working Paper, 2012-32, 1-66.
Bhattacharjee, A., Ditzen, J., & Holly, S. (2020). Spatial and Spatio-temporal Engle-Granger representations, Networks and Common Correlated Effect. Cambridge Working Papers in Economics, 2075(August), 1-20.
Brueckner, J. K. (2011). Lectures on Urban Economics. Cambridge: MIT press.
Buckley, R., & Ermisch, J. (1983). Theory and Empiricism in the Econometric Modelling of House Prices. Urban Studies, 20(1), 83-90.
Bussière, M., Chudik, A., & Mehl, A. (2013). How Have Global Shocks Impacted the Real Effective Exchange Rates of Individual Euro Area Countries since the Euro’s Creation? The BE Journal of Macroeconomics, 13(1), 1-48.
Can, A. (1992). Specification and Estimation of Hedonic Housing Price Models. Regional Science and Urban Economics, 22(3), 453-474.
Can, A., & Megbolugbe, I. (1997). Spatial Dependence and House Price Index Construction. The Journal of Real Estate Finance and Economics14(1-2), 203-222.
Canova, F., & Ciccarelli, M. (2009). Estimating Multicountry VAR Models. International Economic Review, 50(3), 929-959.
Carlino, G., & DeFina, R. (1995). Regional Income Dynamics. Journal of Urban Economics, 37(1), 88-106.
Cesa-Bianchi, A., Pesaran, M. H., Rebucci, A., Xu, T., & Chang, R. (2012). China’s Emergence in the World Economy and Business Cycles in Latin America. IDB Working Papers, IDB-WP-266, 1-67.
Chen, X., & Conley, T. G. (2001). A New Semiparametric Spatial Model for Panel Time Series. Journal of Econometrics, 105(1), 59-83.
Chu, Y., & Sing, T. F. (2007). Optimal Timing of Real Estate Investment under an Asymmetric Duopoly. The Journal of Real Estate Finance and Economics, 34(3), 327-345.
Chudik, A., & Fratzscher, M. (2011). Identifying the Global Transmission of the 2007–2009 Financial Crisis in A GVAR Model. European Economic Review, 55(3), 325-339.
Chudik, A., & Pesaran, M. H. (2015). Common Correlated Effects Estimation of Heterogeneous Dynamic Panel Data Models with Weakly Exogenous Regressors. Journal of Econometrics, 188(2), 393-420.
---------- (2013). Econometric Analysis of High Dimensional VARs Featuring a Dominant Unit. Econometric Reviews, 32(5–6), 592-649.
---------- (2011). Infinite-dimensional VARs and Factor Models. Journal of Econometrics, 163(1), 4-22.
Chudik, A., Pesaran, M. H., & Tosetti, E. (2011). Weak and Strong Cross-Section Dependence and Estimation of Large Panels. Econometrics Journal, 14(1), 1-15.
Clapham, D. F., Clark, W. A. V., & Gibb, K. (2012). The SAGE Handbook of Housing Studies. In D. F. Clapham, W. A. V. Clark, K. Gibb (Ed.), Housing Studies. London: Sage.
Cliff, A. & J. K. Ord (1981). Spatial Processes: Models and Applications. London: Pion.
---------- (1973). Spatial Autocorrelation. London: Pion.
Coakley, J., Fuertes, A.-M., & Smith, R. (2002). A Principal Components Approach to Cross-Section Dependence in Panels. Berlin: International Conferences on Panel Data.
Conley, T. G, & Dupor, B. (2003). A Spatial Analysis of Sectoral Complementarity. Journal of Political Economy, 111(2), 311–352.
Conley, T. G, & Topa, G. (2002). Socio‐economic Distance and Spatial Patterns in Unemployment. Journal of Applied Econometrics, 17(4), 303–327.
Conley, T. G. (1999). GMM Estimation with Cross Sectional Dependence. Journal of Econometrics, 92(1), 1–45.
Corrado, L., & Fingleton, B. (2012). Where is the Economics in Spatial Econometrics? Journal of Regional Science, 52(2), 210–239.
Dees, S., Di Mauro, F., Pesaran, M. H., & Smith, L. V. (2007). Exploring the International Linkages of the Euro Area: A Global Var Analysis. Journal of Applied Econometrics, 22(1), 1–38.
Demers, F. (2005). Modelling and Forecasting Housing Investment: The Case of Canada. Toronto: Bank of Canada.
Deniz, I., & Loungani, P. (2012). Global Housing Cycles. IMF Working Paper, WP/12/217, 1-20.
Dewachter, H., Houssa, R., & Toffano, P. (2012). Spatial Propagation of Macroeconomic Shocks in Europe. Review of World Economics, 148(2), 377–402.
Di Giacinto, V. (2010). On Vector Autoregressive Modeling in Space and Time. Journal of Geographical Systems, 12(2), 125–154.
---------- (2006). A Generalized Space-Time ARMA Model with an Application to Regional Unemployment Analysis in Italy. International Regional Science Review, 29(2), 159–198.
---------- (2003). Differential Regional Effects of Monetary Policy: A Geographical SVAR Approach. International Regional Science Review, 26(3), 313–341.
DiPasquale, D., & Wheaton, W. C. (1996). Urban Economics and Real Estate Markets. Prentice Hall Google Schola, 2, 11-11.
---------- (1994). Housing Market Dynamics and the Future of Housing Prices. Journal of Urban Economics35(1), 1-27.
Dipasquale, D. (1999). Why do not We Know More about Housing Supply. The Journal of Real Estate Finance and Economics, 18(1), 9–23.
Dougherty, A., & Van Order, R. (1982). Inflation, Housing Costs, and the Consumer Price Index. The American Economic Review, 72(1), 154–164.
Drake, L. (1993). Modelling UK House Prices Using Cointegration: An Application of the Johansen Technique. Applied Economics, 25(9), 1225–1228.
Dreger, C., & Kholodilin, K. A. (2013). An Early Warning System To Predict Speculative House Price Bubbles. Economics, 7(1), 1-20.
Druska, V., & Horrace, W. C. (2004). Generalized Moments Estimation for Spatial Panel Data: Indonesian Rice Farming. American Journal of Agricultural Economics, 86(1), 185–198.
Duffy, M. (1970). A Model of UK Private Investment in Dwellings. London Graduate School of Business Studies, Discussion Paper, 18, 1-20.
Dusansky, R., & Wilson, P. W. (1993). The Demand for Housing: Theoretical Considerations. Journal of Economic Theory, 61(1), 120–138.
Égert, B., & Mihaljek, D. (2007). Determinants of House Prices in Central and Eastern Europe. Comparative Economic Studies, 49(3), 367–388.
Egger, P., Larch, M., Pfaffermayr, M., & Walde, J. (2009). Small Sample Properties of Maximum Likelihood Versus Generalized Method of Moments Based Tests for Spatially Autocorrelated Errors. Regional Science and Urban Economics, 39(6), 670–678.
Egger, P., Pfaffermayr, M., & Winner, H. (2005). An Unbalanced Spatial Panel Data Approach to US State Tax Competition. Economics Letters, 88(3), 329–335.
Egnell, E. (2019). Spatial and Temporal Diffusion of House Prices in Sweden (Master's Thesis). Lund University, Lund, Retrieved from http://lup.lub.lu.se/student-papers/record/8980434
Elhorst, J. P. (2010). Applied Spatial Econometrics: Raising the Bar. Spatial Economic Analysis, 5(1), 9–28.
---------- (2005). Unconditional Maximum Likelihood Estimation of Linear and Log-Linear Dynamic Models for Spatial Panels. Geographical Analysis, 37(1), 85–106.
---------- (2003). Specification and Estimation of Spatial Panel Data Models. International Regional Science Review, 26(3), 244–268.
Elhorst, J. P., Madre, J. L., & Pirotte, A. (2020). Car traffic, Habit Persistence, Cross-Sectional Dependence, and Spatial Heterogeneity: New Insights Using French Departmental Data. Transportation Research Part A. Policy and Practice, 132, 614–632.
Englund, P., & Ioannides, Y. M. (1997). House Price Dynamics: An International Empirical Perspective. Journal of Housing Economics, 6(2), 119–136. 
Fingleton, B. (2008a). A Generalized Method of Moments Estimator for a Spatial Model with Moving Average Errors, With Application to Real Estate Prices. Empirical Economics, 34(1), 35–57.
---------- (2008b). A Generalized Method of Moments Estimator for a Spatial Panel Model with an Endogenous Spatial Lag and Spatial Moving Average Errors. Spatial Economic Analysis, 3(1), 27-44.
Gallin, J. (2006). The Long-Run Relationship between House Prices and Income: Evidence from Local Housing Markets. Real Estate Economics, 34(3), 417-438.
Garcês, P., Pires, C., Jorge, S., Catalão‐Lopes, M., & Alventosa, A. (2022). New Housing Supply: Empirical and Theoretical Studies. SSRN, 4118818, 1-20.
Gatzlaff, D., & Tirtiroğlu, D. (1995). Real Estate Market Efficiency: Issues and Evidence. Journal of Real Estate Literature, 3(2), 157-189.
Geiger, F., Muellbauer, J., & Rupprecht, M. (2016). The Housing Market, Household Portfolios and the German Consumer. ECB Working Paper, 1904, 1-72.
Geweke, J. (1977). The Dynamic Factor Analysis of Economic Time Series. In D. Aigner and A. Goldberger (Eds.), Latent Variables in Socio-Economic Models. Amsterdam: North-Holland
Gibb, K. (2009). Housing Studies and the Role of Economic Theory: An (Applied) Disciplinary Perspective. Housing, Theory and Society, 26(1), 26-40.
Giussani, B., & Hadjimatheou, G. (1990). Econometric Modelling of UK House Prices. Cyprus Journal of Economics, 3(1), 36-57.
Glaeser, E. L., & Gottlieb, J. D. (2009). The Wealth of Cities: Agglomeration Economies and Spatial Equilibrium in the United States. Journal of Economic Literature, 47(4), 983-1028.
Glindro, E. T., Subhanij, T., Szeto, J., & Zhu, H. (2018). Determinants of House Prices in Nine Asia-Pacific Economies. BIS Working Paper, 263, 1-51.
Gong, Y., Hu, J., & Boelhouwer, P. J. (2016). Spatial Interrelations of Chinese Housing Markets: Spatial Causality, Convergence and Diffusion. Regional Science and Urban Economics, 59, 103-117.
Gray, D. (2017). Cycles in the UK Housing Economy. London: Palgrave Macmillan.
Green, R. K., Malpezzi, S., & Mayo, S. K. (2005). Metropolitan-specific Estimates of the Price Elasticity of Supply of Housing, and Their Sources. American Economic Review, 95(2), 334-339.
Griliches, Z. (1971). Hedonic Price Indexes for Automobiles: An Econometric Analysis of Quality Change. In Price Indexes and Quality Change: Studies in New Methods of Measurement (55-87). Harvard: Harvard University Press.
Haining, R. (2004). Spatial Data Analysis Theory and Practice. Cambridge: Cambridge University Press.
---------- (1978). The Moving Average Model for Spatial Interaction. Transactions of the Institute of British Geographers, 3(2), 202-225.
Holly, S., Pesaran, M. H., & Yamagata, T. (2011). The Spatial and Temporal Diffusion of House Prices in the UK. Journal of Urban Economics, 69(1), 2-23.
---------- (2010). A Spatio-temporal Model of House Prices in the USA. Journal of Econometrics, 158(1), 160-173.
Hort, K. (1998). The Determinants of Urban House Price Fluctuations in Sweden 1968–1994. Journal of Housing Economics, 7(2), 93-120.
Hwang, M., & Quigley, J. M. (2006). Economic Fundamentals in Local Housing Markets: Evidence from US Metropolitan Regions. Journal of Regional Science, 46(3), 425–453.
Isaac, M., Allen, M., & Mary, S. (1991). The Economic Theory of Housing Demand: A Critical Review. Journal of Real Estate Research, 6(3), 381-393.
Jin, C., & Lee, G. (2020). Exploring Spatiotemporal Dynamics in a Housing Market Using the Spatial Vector Autoregressive Lasso: A Case Study of Seoul, Korea. Transactions in GIS, 24(1), 27-43.
Kajuth, F., Knetsch, T., & Pinkwart, N. (2013). Assessing House Prices in Germany: Evidence from an Estimated Stock-Flow Model Using Regional Data. SSRN, 2796934, 1-45.
Kapoor, M., Kelejian, H. H., & Prucha, I. R. (2007). Panel Data Models with Spatially Correlated Error Components. Journal of Econometrics, 140(1), 97-130.
Karabiyik, H., Palm, F. C., & Urbain, J. P. (2019). Econometric Analysis of Panel Data Models with Multifactor Error Structures. Annual Review of Economics, 11, 495-522.
Kasparova, D., & White, M. (2001). The Responsiveness of House Prices to Macroeconomic Forces: A Cross-Countr Y Comparison. European Journal of Housing Policy, 1(3), 385-416.
Kelejian, H. H., & Prucha, I. R. (2010). Specification and Estimation of Spatial Autoregressive Models with Autoregressive and Heteroskedastic Disturbances. Journal of Econometrics, 157(1), 53-67.
---------- (1999). A Generalized Moments Estimator for the Autoregressive Parameter in a Spatial Model. International Economic Review, 40(2), 509-533.
---------- (1998). A Generalized Spatial Two-Stage Least Squares Procedure for Estimating a Spatial Autoregressive Model with Autoregressive Disturbances. The Journal of Real Estate Finance and Economics, 17(1), 99-121.
Kelejian, H. H., & Robinson, D. P. (1993). A Suggested Method of Estimation for Spatial Interdependent Models with Autocorrelated Errors, and an Application to a County Expenditure Model. Papers in Regional Science, 72(3), 297-312.
Kenny, G. (1999). Modeling the Demand and Supply Sides of the Housing Market: Evidence from Ireland. Economic Modelling, 16(3), 389-409.
Korniotis, G. M. (2010). Estimating Panel Models with Internal and External Habit Formation. Journal of Business & Economic Statistics, 28(1), 145-158.
Kosonen, K. (1997). House Price Dynamics in Finland; A Time Series Analysis of the Period 1979–95. Labor Institute for Economic Research, Discussion Papers, 137, 1-83.
Kuethe, T. H., & Pede, V. O. (2011). Regional Housing Price Cycles: A Spatio-Temporal Analysis Using US State-Level Data. Regional Studies, 45(5), 563-574.
LaCour-Little, M., & Yang, J. (2010). Pay Me Now or Pay Me Later: Alternative Mortgage Products and the Mortgage Crisis. Real Estate Economics, 38(4), 687-732.
Lee, L. F. (2004). Asymptotic Distributions of Quasi-Maximum Likelihood Estimators for Spatial Autoregressive Models. Econometrica, 72(6), 1899-1925.
Lee, L. F., & Liu, X. (2010). Efficient GMM Estimation of High Order Spatial Autoregressive Models with Autoregressive Disturbances. Econometric Theory, 26(1), 187-230.
---------- (2006). Efficient GMM Estimation of A SAR Model with Autoregressive Disturbances. Ohio State University, Working Paper, 1-26.
Lee, L. F., & Yu, J. (2010a). Estimation of Spatial Autoregressive Panel Data Models with Fixed Effects. Journal of Econometrics, 154(2), 165-185.
---------- (2010b). Some Recent Developments in Spatial Panel Data Models. Regional Science and Urban Economics, 40(5), 255-271.
Leishman, C., & Bramley, G. (2005). A Local Housing Market Model with Spatial Interaction and Land-Use Planning Controls. Environment and Planning A, 37(9), 1637-1649.
LeSage, J. P., & Fischer, M. M. (2008). Spatial Growth Regressions: Model Specification, Estimation and Interpretation. Spatial Economic Analysis, 3(3), 275-304.
LeSage, J. P., & Krivelyova, A. (1999). A Spatial Prior for Bayesian Vector Autoregressive Models. Journal of Regional Science, 39(2), 297-317.
LeSage, J. P., & Pan, Z. (1995). Using Spatial Contiguity as Bayesian Prior Information in Regional Forecasting Models. International Regional Science Review, 18(1), 33-53.
LeSage, J., & Pace, R. K. (2009). Introduction to Spatial Econometrics. New York: Chapman and Hall/CRC.
MacLennan, D., & Tu, Y. (1996). The Microeconomics of Local Housing Market Structure. Housing Studies, 11, 387-406.
Maclennan, D., & Whitehead, C. (1982). Housing Economics. Housing Studies, 341-470.
Madsen, J. B. (2011). AQ Model of House Prices. Monash University, Discussion papper, 03/11, 1-28.
Malpezzi, S. (1999). A Simple Error Correction Model of House Prices. Journal of Housing Economics, 8(1), 27-62.
Mankiw, N. G., & Weil, D. N. (1989). The Baby Boom, the Baby Bust, and the Housing Market. Regional Science and Urban Economics, 19(2), 235-258.
Márquez, M. A., Ramajo, J., & Hewings, G. J. D. (2010). Measuring the Spillover Effects of Public Capital: A Bi-Regional Structural Vector Autoregressive Analysis. Letters in Spatial and Resource Sciences, 3(3), 111-125.
Mayer, C. B., & Somerville, C. T. (1996). Land Development and the Supply of New Housing: Unifying Empirical and Theoretical Models of Housing Supply. UBC Centre for Real Estate and Urban Economics, Working Paper, 96-12, 1-42.
Mayes, D. (1979). The Property Boom: The Effects of Building Society Behavior on House Prices. Oxford: Martin Robertson.
McCarthy, J., & Peach, R. W. (2002). Monetary Policy Transmission to Residential Investment. Economic Policy Review8(1), 1-20.
Meen, G. (2002). The Time-Series Behavior of House Prices: A Transatlantic Divide? Journal of Housing Economics, 11(1), 1-23.
---------- (2001). Modeling Spatial Housing Markets: Theory, Analysis, and Policy (2). Berlin: Springer Science & Business Media.
---------- (2000). Housing Cycles and Efficiency. Scottish Journal of Political Economy, 47(2), 114-140.
---------- (1999). Regional House Prices and the Ripple Effect: A New Interpretation. Housing Studies, 14(6), 733-753.
---------- (1996). Spatial Aggregation, Spatial Dependence and Predictability in the UK Housing Market. Housing Studies, 11(3), 345-372.
---------- (1990). The Removal of Mortgage Market Constraints and the Implications for Econometric Modelling of UK House Prices. Oxford Bulletin of Economics and Statistics, 52(1), 1-20.
Meen, G., & Andrew, M. (1998). On the Aggregate Housing Market Implications of Labor Market Change. Scottish Journal of Political Economy, 45(4), 393-419.
Moon, H. R., & Weidner, M. (2017). Dynamic Linear Panel Regression Models with Interactive Fixed Effects. Econometric Theory, 33(1), 158-195.
Moran, P. A. P. (1948). The Interpretation of Statistical Maps. Biometrika, 35, 255-260.
Moscone, F., & Tosetti, E. (2011). GMM Estimation of Spatial Panels with Fixed Effects and Unknown Heteroskedasticity. Regional Science and Urban Economics, 41(5), 487-497.
Muellbauer, J., & Murphy, A. (2008). Housing Markets and the Economy: the Assessment. Oxford Review of Economic Policy, 24(1), 1-33.
---------- (1997). Booms and Busts in the UK Housing Market. The Economic Journal107(445), 1701-1727.
Munro, M., & Tu, Y. (1996). The Dynamics of UK National and Regional House Prices. Review of Urban & Regional Development Studies, 8(2), 186–201.
Muth, R. F. (1976). A Vintage Model with Housing Production. Papers of the Regional Science Association, 30, 141–156.
---------- (1973). A Vintage Model of the Housing Stock. Papers of the Regional Science Association, 30(1), 141–156.
---------- (1960). The Demand for Non-Farm Housing, the Demand for Durable Goods. Chicago: University Chicago Press.
Mutl, J. (2006). Dynamic Panel Data Models with Spatially Correlated Disturbances (Doctoral Dissertation). University of Maryland, College Park.
Mutl, J., & Pfaffermayr, M. (2011). The Hausman Test in a Cliff and Ord Panel Model. The Econometrics Journal14(1), 48-76.
Nellis, J. G., & Longbottom, J. A. (1981). An Empirical Analysis of the Determination of House Prices in the United Kingdom. Urban Studies, 18(1), 9-21.
Neusser, K. (2008). Interdependencies of US Manufacturing Sectoral TFPs: A Spatial VAR Approach. Journal of Macroeconomics, 30(3), 991-1004.
Ong, S. E., Sing, T. F., & Malone‐Lee, L. C. (2004). Strategic Considerations in Land Use Planning: The Case of White Sites in Singapore. Journal of Property Research, 21(3), 235-253.
Pesaran, M. H. (2015). Time Series and Panel Data Econometrics. Oxford: Oxford Academic.
---------- (2006). Estimation and Inference in Large Heterogeneous Panels with a Multifactor Error Structure. Econometrica, 74(4), 967-1012.
Pesaran, M. H., & Smith, R. (1995). Estimating Long-Run Relationships from Dynamic Heterogeneous Panels. Journal of Econometrics, 68(1), 79-113.
Pesaran, M. H., & Tosetti, E. (2011). Large Panels with Common Factors and Spatial Correlation. Journal of Econometrics, 161(2), 182-202.
Pesaran, M. H., Schuermann, T., & Weiner, S. M. (2004). Modeling Regional Interdependences Using a Global Error-Correcting Macroeconometric Model. Journal of Business and Economic Statistics, 22(2), 129-162.
Phillips, P. C. B., & Sul, D. (2003). Dynamic Panel Estimation and Homogeneity Testing Under Cross-Section Dependence. The Econometrics Journal, 6(1), 217-259.
Pinkse, J., & Slade, M. E. (2010). The Future of Spatial Econometrics. Journal of Regional Science, 50(1), 103–117.
Pirounakis, N. G. (2013). Real Estate Economics: A Point-To-Point Handbook. Oxfordshire: Routledge.
Poterba, J. M. (1984). Tax Subsidies to Owner-Occupied Housing: An Asset-Market Approach. The Quarterly Journal of Economics99(4), 729-752.
Poterba, J. M., Weil, D. N., & Shiller, R. (1991). House Price Dynamics: The Role of Tax Policy and Demography. Brookings Papers on Economic Activity, 1991(2), 143-203.
Quigley, J. M. (2002). Transactions Costs and Housing Markets. UC Berkeley, Working Paper Series, W02-005, 1-20.
Ramajo, J., Márquez, M. A., & Hewings, G. J. D. (2017). Spatiotemporal Analysis of Regional Systems: A Multiregional Spatial Vector Autoregressive Model for Spain. International Regional Science Review, 40(1), 75–96.
Reece, B. F. (1988). The Price-Adjustment Process for Rental Housing: Some Furth. Real Estate Economics, 16(4), 411-420.
Riddel, M. (2004). Housing-market Disequilibrium: An Examination of Housing-Market Price and Stock Dynamics 1967–1998. Journal of Housing Economics, 13(2), 120-135.
Rosen, S. (1974). Hedonic Prices and Implicit Markets: Product Differentiation in Pure Competition. Journal of Political Economy, 82(1), 34-55.
Rothenberg, J., Galster, G. C., Butler, R. V, & Pitkin, J. R. (1991). The Maze of Urban Housing Markets: Theory, Evidence, and Policy. Chicago: University of Chicago Press.
Saiz, A. (2008). On Local Housing Supply Elasticity. SSRN, 1193422, 1-59.
Sarafidis, V., & Robertson, D. (2009). On the Impact of Error Cross-Sectional Dependence in Short Dynamic Panel Estimation. The Econometrics Journal, 12(1), 62-81.
Sarafidis, V., & Wansbeek, T. (2012). Cross-sectional Dependence in Panel Data Analysis. Econometric Reviews, 31(5), 483-531.
Sargent, T. J., & Sims, C. A. (1977). Business Cycle Modeling without Pretending to have too Much a Priori Economic Theory. New Methods in Business Cycle Research, 1, 145-168.
Shi, W., & Lee, L. (2017). Spatial Dynamic Panel Data Models with Interactive Fixed Effects. Journal of Econometrics, 197(2), 323-347.
Smith, S. J., & Searle, B. A. (2008). Dematerialising Money? Observations on the Flow of Wealth from Housing to Other Things. Housing Studies, 23(1), 21-43.
Song, M. (2013). Essays on Large Panel Data Analysis (Unpublished Doctoral Dissertation). Columbia University, New York.
Steiner, E. (2010). Estimating a Stock-Flow Model. Swiss Journal of Economics and Statistics, 146(3), 601-627.
Su, L., & Yang, Z. (2015). QML Estimation of Dynamic Panel Data Models with Spatial Errors. Journal of Econometrics, 185(1), 230-258.
Sutton, G. D. (2002). Explaining Changes in House Prices. BIS Quarterly Review, 32(1), 46-60.
Teye, A. L., Knoppel, M., de Haan, J., & Elsinga, M. G. (2017). Amsterdam House Price Ripple Effects in the Netherlands. Journal of European Real Estate Research10(3), 331-345.
Topel, R., & Rosen, S. (1988). Housing Investment in the United States. Journal of Political Economy, 96(4), 718-740.
Tripathi, S. (2019). Macroeconomic Determinants of Housing Prices : A Cross Country Level Analysis. MPRA, 98089, 1-18.
Tu, Y. (1997). The Local Housing Sub-Market Structure and Its Properties. Urban Studies, 34(2), 337-353.
Vega, S. H., & Elhorst, J. P. (2016). A Regional Unemployment Model Simultaneously Accounting for Serial Dynamics, Spatial Dependence and Common Factors. Regional Science and Urban Economics60, 85-95.
Vermeulen, W., & Rouwendal, J. (2007). Housing Supply and Land Use Regulation in the Netherlands. Tinbergen Institute, SSRN, TI 2007-058/3, 1-42.
Vickerman, R. W. (1984). Urban Economies: Analysis and Policy. Oxford: Philip Allan.
Vogiazas, S., & Alexiou, C. (2017). Determinants of Housing Prices and Bubble Detection: Evidence from Seven Advanced Economies. Atlantic Economic Journal, 45(1), 119–131.
Wang, K., & Zhou, Y. (2000). Overbuilding: A Game-Theoretic Approach. Real Estate Economics, 28(3), 493–522.
Wang, Y., Liu, J., Tang, Y., & Sriboonchitta, S. (2020). Housing Risk and Its Influence on House Price: An Expected Utility Approach. Mathematical Problems in Engineering, 2020, 7–10.
Whitehead, C. (1999). Urban Housing Markets: Theory and Policy. In Handbook of Regional and Urban Economics (3), 1559–1594. Retrieved from https://www.sciencedirect.com/handbook/handbook-of-regional-and-urban-economics
Yang, C. F. (2021). Common Factors and Spatial Dependence: An Application to US House Prices. Econometric Reviews, 40(1), 14–50.
Yu, J., & Lee, L. (2010). Estimation of Unit Root Spatial Dynamic Panel Data Models. Econometric Theory, 26(5), 1332-1362.
Yu, J., de Jong, R., & Lee, L. (2008). Quasi-maximum Likelihood Estimators for Spatial Dynamic Panel Data with Fixed Effects When both N and T Are Large. Journal of Econometrics, 146(1), 118-134.
Yunus, N., & Swanson, P. E. (2013). A Closer Look at the US Housing Market: Modeling Relationships among Regions. Real Estate Economics, 41(3), 542-568.
Zhang, L., Li, T., Ma, C., & Wen, H. (2020). Measuring the Spatial and Temporal Diffusion of Urban House Prices in East China. Journal of Urban Planning and Development, 146(2), 1-14.
Zhang, Y., Hua, X., & Zhao, L. (2012). Exploring Determinants of Housing Prices: A Case Study of Chinese Experience in 1999–2010. Economic Modelling, 29(6), 2349-2361.