IDEAS home Printed from https://ideas.repec.org/a/eee/reveco/v71y2021icp779-810.html
   My bibliography  Save this article

Linking U.S. State-level housing market returns, and the consumption-(Dis)Aggregate wealth ratio

Author

Listed:
  • Balcilar, Mehmet
  • Gupta, Rangan
  • Sousa, Ricardo M.
  • Wohar, Mark E.

Abstract

Using state-level data for the U.S. housing market over the period of 1975:Q1-2012:Q2, we show that the consumption-wealth ratios derived from aggregate wealth (cay) and disaggregate (i.e. financial and housing) wealth (cday) are strong predictors of real housing returns (and their volatility). Additionally, we find that, barring the extreme ends of their respective conditional distributions, such effect is stronger for housing return volatility than housing returns. All in all, our findings show that state-level regressions can recover a large degree of heterogeneity that country-level exercises typically ignore. Such heterogeneity is prominent not only in terms of consumption smoothing behavior, but also with regard to housing return predictability.

Suggested Citation

  • Balcilar, Mehmet & Gupta, Rangan & Sousa, Ricardo M. & Wohar, Mark E., 2021. "Linking U.S. State-level housing market returns, and the consumption-(Dis)Aggregate wealth ratio," International Review of Economics & Finance, Elsevier, vol. 71(C), pages 779-810.
  • Handle: RePEc:eee:reveco:v:71:y:2021:i:c:p:779-810
    DOI: 10.1016/j.iref.2020.10.011
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1059056020302392
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.iref.2020.10.011?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to look for a different version below or search for a different version of it.

    Other versions of this item:

    References listed on IDEAS

    as
    1. Charles Leung, 2007. "Equilibrium Correlations of Asset Price and Return," The Journal of Real Estate Finance and Economics, Springer, vol. 34(2), pages 233-256, February.
    2. Nyakabawo, Wendy & Miller, Stephen M. & Balcilar, Mehmet & Das, Sonali & Gupta, Rangan, 2015. "Temporal causality between house prices and output in the US: A bootstrap rolling-window approach," The North American Journal of Economics and Finance, Elsevier, vol. 33(C), pages 55-73.
    3. Mehmet Balcilar & Rangan Gupta & Stephen M. Miller, 2015. "The out-of-sample forecasting performance of nonlinear models of regional housing prices in the US," Applied Economics, Taylor & Francis Journals, vol. 47(22), pages 2259-2277, May.
    4. Yavuz Arslan & Bulent Guler & Temel Taskin, 2015. "Joint Dynamics of House Prices and Foreclosures," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 47(S1), pages 133-169, March.
    5. Benbouzid, Nadia & Mallick, Sushanta & Pilbeam, Keith, 2018. "The housing market and the credit default swap premium in the UK banking sector: A VAR approach," Research in International Business and Finance, Elsevier, vol. 44(C), pages 1-15.
    6. James R. Follain & Seth H. Giertz, 2016. "US House Price Bubbles and Busts," Public Finance Review, , vol. 44(1), pages 132-159, January.
    7. Engle, Robert & Granger, Clive, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 39(3), pages 106-135.
    8. Chang, Tsangyao & Gupta, Rangan & Majumdar, Anandamayee & Pierdzioch, Christian, 2019. "Predicting stock market movements with a time-varying consumption-aggregate wealth ratio," International Review of Economics & Finance, Elsevier, vol. 59(C), pages 458-467.
    9. Guglielmo Maria Caporale & Ricardo M. Sousa & Mark E. Wohar, 2019. "Can the Consumption–Wealth Ratio Predict Housing Returns? Evidence from OECD Countries," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 47(4), pages 935-976, December.
    10. Case Karl E. & Quigley John M. & Shiller Robert J., 2005. "Comparing Wealth Effects: The Stock Market versus the Housing Market," The B.E. Journal of Macroeconomics, De Gruyter, vol. 5(1), pages 1-34, May.
    11. Lunde A. & Timmermann A., 2004. "Duration Dependence in Stock Prices: An Analysis of Bull and Bear Markets," Journal of Business & Economic Statistics, American Statistical Association, vol. 22, pages 253-273, July.
    12. Rocha Armada, Manuel J. & Sousa, Ricardo M. & Wohar, Mark E., 2015. "Consumption growth, preference for smoothing, changes in expectations and risk premium," The Quarterly Review of Economics and Finance, Elsevier, vol. 56(C), pages 80-97.
    13. Mehmet Balcilar & Rangan Gupta & Stephen M. Miller, 2014. "Housing and the Great Depression," Applied Economics, Taylor & Francis Journals, vol. 46(24), pages 2966-2981, August.
    14. Choi, In, 2001. "Unit root tests for panel data," Journal of International Money and Finance, Elsevier, vol. 20(2), pages 249-272, April.
    15. Shiller, Robert J., 1998. "Macro Markets: Creating Institutions for Managing Society's Largest Economic Risks," OUP Catalogue, Oxford University Press, number 9780198294184.
    16. Cohen, Jeffrey P. & Ioannides, Yannis M. & (Wirathip) Thanapisitikul, Win, 2016. "Spatial effects and house price dynamics in the USA," Journal of Housing Economics, Elsevier, vol. 31(C), pages 1-13.
    17. Luigi Guiso & Paola Sapienza & Luigi Zingales, 2013. "The Determinants of Attitudes toward Strategic Default on Mortgages," Journal of Finance, American Finance Association, vol. 68(4), pages 1473-1515, August.
    18. Martin Lettau & Sydney Ludvigson, 2001. "Consumption, Aggregate Wealth, and Expected Stock Returns," Journal of Finance, American Finance Association, vol. 56(3), pages 815-849, June.
    19. Mark Stephens, 2012. "Tackling Housing Market Volatility in the UK. Part I: Long- and Short-term Volatility," International Journal of Housing Policy, Taylor & Francis Journals, vol. 12(3), pages 367-380.
    20. Holly, Sean & Hashem Pesaran, M. & Yamagata, Takashi, 2011. "The spatial and temporal diffusion of house prices in the UK," Journal of Urban Economics, Elsevier, vol. 69(1), pages 2-23, January.
    21. Rapach, David E. & Strauss, Jack K., 2009. "Differences in housing price forecastability across US states," International Journal of Forecasting, Elsevier, vol. 25(2), pages 351-372.
    22. Hwang, Soosung & Salmon, Mark, 2004. "Market stress and herding," Journal of Empirical Finance, Elsevier, vol. 11(4), pages 585-616, September.
    23. Brady, Ryan R., 2014. "The spatial diffusion of regional housing prices across U.S. states," Regional Science and Urban Economics, Elsevier, vol. 46(C), pages 150-166.
    24. Sousa, Ricardo M., 2010. "Consumption, (dis)aggregate wealth, and asset returns," Journal of Empirical Finance, Elsevier, vol. 17(4), pages 606-622, September.
    25. Harris, Richard D. F. & Tzavalis, Elias, 1999. "Inference for unit roots in dynamic panels where the time dimension is fixed," Journal of Econometrics, Elsevier, vol. 91(2), pages 201-226, August.
    26. Kaddour Hadri, 2000. "Testing for stationarity in heterogeneous panel data," Econometrics Journal, Royal Economic Society, vol. 3(2), pages 148-161.
    27. Luca Agnello & Vitor Castro & Ricardo M. Sousa, 2015. "Booms, Busts, and Normal Times in the Housing Market," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 33(1), pages 25-45, January.
    28. Albert Saiz, 2010. "The Geographic Determinants of Housing Supply," The Quarterly Journal of Economics, Oxford University Press, vol. 125(3), pages 1253-1296.
    29. Mehmet Balcilar & Rangan Gupta & Duc Khuong Nguyen & Mark E. Wohar, 2018. "Causal effects of the United States and Japan on Pacific-Rim stock markets: nonparametric quantile causality approach," Applied Economics, Taylor & Francis Journals, vol. 50(53), pages 5712-5727, November.
    30. Alfred Larm Teye & Daniel Felix Ahelegbey, 2017. "Spatial and Temporal House Price Diffusion in the Netherlands: A Bayesian Network Approach," ERES eres2017_337, European Real Estate Society (ERES).
    31. Leung, Charles Ka Yui, 2014. "Error correction dynamics of house prices: An equilibrium benchmark," Journal of Housing Economics, Elsevier, vol. 25(C), pages 75-95.
    32. Mehmet Balcilar & Rangan Gupta & Ricardo M. Sousa & Mark E. Wohar, 2018. "Wealth‐to‐Income Ratio and Stock Market Movements: Evidence from a Nonparametric Causality Test," International Review of Finance, International Review of Finance Ltd., vol. 18(3), pages 495-506, September.
    33. Thomas Chiang & Lin Tan & Jiandong Li & Edward Nelling, 2013. "Dynamic Herding Behavior in Pacific-Basin Markets: Evidence and Implications," Multinational Finance Journal, Multinational Finance Journal, vol. 17(3-4), pages 165-200, September.
    34. N. Kundan Kishor, 2007. "Does Consumption Respond More to Housing Wealth Than to Financial Market Wealth? If So, Why?," The Journal of Real Estate Finance and Economics, Springer, vol. 35(4), pages 427-448, November.
    35. Beatrice Simo-Kengne & Stephen Miller & Rangan Gupta & Goodness Aye, 2015. "Time-Varying Effects of Housing and Stock Returns on U.S. Consumption," The Journal of Real Estate Finance and Economics, Springer, vol. 50(3), pages 339-354, April.
    36. Jörg Breitung & Samarjit Das, 2005. "Panel unit root tests under cross‐sectional dependence," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 59(4), pages 414-433, November.
    37. Caporale, Guglielmo Maria & Sousa, Ricardo M., 2016. "Consumption, wealth, stock and housing returns: Evidence from emerging markets," Research in International Business and Finance, Elsevier, vol. 36(C), pages 562-578.
    38. Muellbauer, John & Murphy, Anthony, 1997. "Booms and Busts in the UK Housing Market," Economic Journal, Royal Economic Society, vol. 107(445), pages 1701-1727, November.
    39. Mauro Costantini & Ricardo M. Sousa, 2020. "Consumption, asset wealth, equity premium, term spread, and flight to quality," European Financial Management, European Financial Management Association, vol. 26(3), pages 778-807, June.
    40. Bonaccolto, G. & Caporin, M. & Gupta, R., 2018. "The dynamic impact of uncertainty in causing and forecasting the distribution of oil returns and risk," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 507(C), pages 446-469.
    41. Sousa, João & Sousa, Ricardo M., 2017. "Predicting risk premium under changes in the conditional distribution of stock returns," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 50(C), pages 204-218.
    42. Giorgio Canarella & Stephen Miller & Stephen Pollard, 2012. "Unit Roots and Structural Change," Urban Studies, Urban Studies Journal Limited, vol. 49(4), pages 757-776, March.
    43. Bork, Lasse & Møller, Stig V., 2015. "Forecasting house prices in the 50 states using Dynamic Model Averaging and Dynamic Model Selection," International Journal of Forecasting, Elsevier, vol. 31(1), pages 63-78.
    44. Newey, Whitney & West, Kenneth, 2014. "A simple, positive semi-definite, heteroscedasticity and autocorrelation consistent covariance matrix," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 33(1), pages 125-132.
    45. Francesco Bianchi & Martin Lettau & Sydney C. Ludvigson, 2016. "Monetary Policy and Asset Valuation," NBER Working Papers 22572, National Bureau of Economic Research, Inc.
    46. António Afonso & Ricardo M. Sousa, 2011. "Consumption, Wealth, Stock And Government Bond Returns: International Evidence," Manchester School, University of Manchester, vol. 79(6), pages 1294-1232, December.
    47. Luca Agnello & Vitor Castro & Ricardo M. Sousa, 2020. "The Housing Cycle: What Role for Mortgage Market Development and Housing Finance?," The Journal of Real Estate Finance and Economics, Springer, vol. 61(4), pages 607-670, November.
    48. Min Hwang & John M. Quigley, 2006. "Economic Fundamentals In Local Housing Markets: Evidence From U.S. Metropolitan Regions," Journal of Regional Science, Wiley Blackwell, vol. 46(3), pages 425-453, August.
    49. Edward L. Glaeser & Joseph Gyourko & Raven E. Saks, 2005. "Why Have Housing Prices Gone Up?," American Economic Review, American Economic Association, vol. 95(2), pages 329-333, May.
    50. Henderson, J. Vernon & Ioannides, Yannis M., 1987. "Owner occupancy: Investment vs consumption demand," Journal of Urban Economics, Elsevier, vol. 21(2), pages 228-241, March.
    51. Teye, Alfred Larm & Ahelegbey, Daniel Felix, 2017. "Detecting spatial and temporal house price diffusion in the Netherlands: A Bayesian network approach," Regional Science and Urban Economics, Elsevier, vol. 65(C), pages 56-64.
    52. Roger Koenker & Kevin F. Hallock, 2001. "Quantile Regression," Journal of Economic Perspectives, American Economic Association, vol. 15(4), pages 143-156, Fall.
    53. Hamilton, James D., 1988. "Rational-expectations econometric analysis of changes in regime : An investigation of the term structure of interest rates," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 385-423.
    54. Mark Stephens, 2012. "Tackling Housing Market Volatility in the UK. Part II: Protecting Households From the Consequences of Volatility," International Journal of Housing Policy, Taylor & Francis Journals, vol. 12(4), pages 489-499.
    55. Fratantoni, Michael & Schuh, Scott, 2003. "Monetary Policy, Housing, and Heterogeneous Regional Markets," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 35(4), pages 557-589, August.
    56. Mehmet Balcilar & Rangan Gupta & Ricardo M. Sousa & Mark E. Wohar, 2021. "What Can Fifty-Two Collateralizable Wealth Measures Tell Us About Future Housing Market Returns? Evidence from U.S. State-Level Data," The Journal of Real Estate Finance and Economics, Springer, vol. 62(1), pages 81-107, January.
    57. Agnello, Luca & Schuknecht, Ludger, 2011. "Booms and busts in housing markets: Determinants and implications," Journal of Housing Economics, Elsevier, vol. 20(3), pages 171-190, September.
    58. William Miles, 2019. "Regional convergence and structural change in US housing markets," Regional Studies, Regional Science, Taylor & Francis Journals, vol. 6(1), pages 520-538, January.
    59. Edward E. Leamer, 2015. "Housing Really Is the Business Cycle: What Survives the Lessons of 2008–09?," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 47(S1), pages 43-50, March.
    60. Stock, James H & Watson, Mark W, 1993. "A Simple Estimator of Cointegrating Vectors in Higher Order Integrated Systems," Econometrica, Econometric Society, vol. 61(4), pages 783-820, July.
    61. Ludvigson, Sydney C. & Ng, Serena, 2007. "The empirical risk-return relation: A factor analysis approach," Journal of Financial Economics, Elsevier, vol. 83(1), pages 171-222, January.
    62. William Barnett & Fredj Jawadi, 2012. "Introduction to Recent Developments in Alternative Finance: Empirical Assessments and Economic Implications," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 201237, University of Kansas, Department of Economics, revised Sep 2012.
    63. Koenker,Roger, 2005. "Quantile Regression," Cambridge Books, Cambridge University Press, number 9780521845731, October.
    64. Luca Agnello & Vitor Castro & Ricardo M Sousa, 2018. "Systemic financial crises and the housing market cycle," Applied Economics Letters, Taylor & Francis Journals, vol. 25(10), pages 724-729, June.
    65. Sei-Wan Kim & Radha Bhattacharya, 2009. "Regional Housing Prices in the USA: An Empirical Investigation of Nonlinearity," The Journal of Real Estate Finance and Economics, Springer, vol. 38(4), pages 443-460, May.
    66. MeiChi Huang, 2019. "A Nationwide or Localized Housing Crisis? Evidence from Structural Instability in US Housing Price and Volume Cycles," Computational Economics, Springer;Society for Computational Economics, vol. 53(4), pages 1547-1563, April.
    67. Ricardo M. Sousa, 2015. "Linking wealth and labour income with stock returns and government bond yields," The European Journal of Finance, Taylor & Francis Journals, vol. 21(10-11), pages 806-825, August.
    68. Sousa, Ricardo M. & Vivian, Andrew & Wohar, Mark E., 2016. "Predicting asset returns in the BRICS: The role of macroeconomic and fundamental predictors," International Review of Economics & Finance, Elsevier, vol. 41(C), pages 122-143.
    69. Geoffrey M. Ngene & Daniel P. Sohn & M. Kabir Hassan, 2017. "Time-Varying and Spatial Herding Behavior in the US Housing Market: Evidence from Direct Housing Prices," The Journal of Real Estate Finance and Economics, Springer, vol. 54(4), pages 482-514, May.
    70. Im, Kyung So & Pesaran, M. Hashem & Shin, Yongcheol, 2003. "Testing for unit roots in heterogeneous panels," Journal of Econometrics, Elsevier, vol. 115(1), pages 53-74, July.
    71. Nishiyama, Yoshihiko & Hitomi, Kohtaro & Kawasaki, Yoshinori & Jeong, Kiho, 2011. "A consistent nonparametric test for nonlinear causality—Specification in time series regression," Journal of Econometrics, Elsevier, vol. 165(1), pages 112-127.
    72. Agnello, Luca & Castro, Vitor & Hammoudeh, Shawkat & Sousa, Ricardo M., 2017. "Spillovers from the oil sector to the housing market cycle," Energy Economics, Elsevier, vol. 61(C), pages 209-220.
    73. Glaeser, Edward L & Gyourko, Joseph & Saks, Raven, 2005. "Why Is Manhattan So Expensive? Regulation and the Rise in Housing Prices," Journal of Law and Economics, University of Chicago Press, vol. 48(2), pages 331-369, October.
    74. Benbouzid, Nadia & Mallick, Sushanta, 2013. "Determinants of bank credit default swap spreads: The role of the housing sector," The North American Journal of Economics and Finance, Elsevier, vol. 24(C), pages 243-259.
    75. Leung, Charles Ka Yui & Teo, Wing Leong, 2011. "Should the optimal portfolio be region-specific? A multi-region model with monetary policy and asset price co-movements," Regional Science and Urban Economics, Elsevier, vol. 41(3), pages 293-304, May.
    76. MacKinnon, James G, 1994. "Approximate Asymptotic Distribution Functions for Unit-Root and Cointegration Tests," Journal of Business & Economic Statistics, American Statistical Association, vol. 12(2), pages 167-176, April.
    77. Agnello, Luca & Castro, Vitor & Sousa, Ricardo M., 2018. "Economic Activity, Credit Market Conditions, And The Housing Market," Macroeconomic Dynamics, Cambridge University Press, vol. 22(7), pages 1769-1789, October.
    78. Arslan Yavuz, 2014. "Interest rate fluctuations and equilibrium in the housing market," The B.E. Journal of Macroeconomics, De Gruyter, vol. 14(1), pages 1-32, January.
    79. Oguzhan Cepni & Rangan Gupta & Mark E. Wohar, 2019. "Variants of Consumption-Wealth Ratios and Predictability of U.S. Government Bond Risk Premia: Old is still Gold," Working Papers 201912, University of Pretoria, Department of Economics.
    80. Michail Karoglou & Bruce Morley & Dennis Thomas, 2013. "Risk and Structural Instability in US House Prices," The Journal of Real Estate Finance and Economics, Springer, vol. 46(3), pages 424-436, April.
    81. Gabauer, David & Gupta, Rangan, 2020. "Spillovers across macroeconomic, financial and real estate uncertainties: A time-varying approach," Structural Change and Economic Dynamics, Elsevier, vol. 52(C), pages 167-173.
    82. Levin, Andrew & Lin, Chien-Fu & James Chu, Chia-Shang, 2002. "Unit root tests in panel data: asymptotic and finite-sample properties," Journal of Econometrics, Elsevier, vol. 108(1), pages 1-24, May.
    Full references (including those not matched with items on IDEAS)

    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. Mehmet Balcilar & Rangan Gupta & Ricardo M. Sousa & Mark E. Wohar, 2021. "What Can Fifty-Two Collateralizable Wealth Measures Tell Us About Future Housing Market Returns? Evidence from U.S. State-Level Data," The Journal of Real Estate Finance and Economics, Springer, vol. 62(1), pages 81-107, January.
    2. Rangan Gupta & Hardik A. Marfatia & Eric Olson, 2020. "Effect of uncertainty on U.S. stock returns and volatility: evidence from over eighty years of high-frequency data," Applied Economics Letters, Taylor & Francis Journals, vol. 27(16), pages 1305-1311, September.
    3. Balcilar, Mehmet & Gupta, Rangan & Sousa, Ricardo M. & Wohar, Mark E., 2017. "Do cay and cayMS predict stock and housing returns? Evidence from a nonparametric causality test," International Review of Economics & Finance, Elsevier, vol. 48(C), pages 269-279.
    4. Chang, Tsangyao & Gupta, Rangan & Majumdar, Anandamayee & Pierdzioch, Christian, 2019. "Predicting stock market movements with a time-varying consumption-aggregate wealth ratio," International Review of Economics & Finance, Elsevier, vol. 59(C), pages 458-467.
    5. Luca Agnello & Vitor Castro & Ricardo M. Sousa, 2020. "The Housing Cycle: What Role for Mortgage Market Development and Housing Finance?," The Journal of Real Estate Finance and Economics, Springer, vol. 61(4), pages 607-670, November.
    6. Christou, Christina & Gupta, Rangan & Jawadi, Fredj, 2021. "Does inequality help in forecasting equity premium in a panel of G7 countries?," The North American Journal of Economics and Finance, Elsevier, vol. 57(C).
    7. Gharehgozli, Orkideh, 2021. "An empirical comparison between a regression framework and the Synthetic Control Method," The Quarterly Review of Economics and Finance, Elsevier, vol. 81(C), pages 70-81.
    8. Simplice A. Asongu & Paul N. Acha-Anyi, 2017. "ICT, conflicts in financial intermediation and financial access: evidence of synergy and threshold effects," Netnomics, Springer, vol. 18(2), pages 131-168, December.
    9. Rangan Gupta & Chi Keung Marco Lau & Wendy Nyakabawo, 2018. "Predicting Aggregate and State-Level US House Price Volatility: The Role of Sentiment," Working Papers 201866, University of Pretoria, Department of Economics.
    10. Manuel David Cruz, 2022. "Labor productivity, real wages, and employment: evidence from a panel of OECD economies over 1960-2019," Working Papers PKWP2203, Post Keynesian Economics Society (PKES).
    11. Fredj Jawadi & Ricardo M. Sousa, 2012. "Consumption and Wealth in the US, the UK and the Euro Area:A Nonlinear Investigation," NIPE Working Papers 24/2012, NIPE - Universidade do Minho.
    12. Simplice A. Asongu & Nicholas M. Odhiambo, 2020. "The Mobile Phone, Information Sharing, and Financial Sector Development in Africa: a Quantile Regression Approach," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 11(3), pages 1234-1269, September.
    13. Rangan Gupta & Hardik A. Marfatia & Christian Pierdzioch & Afees A. Salisu, 2022. "Machine Learning Predictions of Housing Market Synchronization across US States: The Role of Uncertainty," The Journal of Real Estate Finance and Economics, Springer, vol. 64(4), pages 523-545, May.
    14. Dina Azhgaliyeva, 2013. "What Makes Oil Revenue Funds Effective," International Conference on Energy, Regional Integration and Socio-economic Development 6023, EcoMod.
    15. Chien-Chiang Lee & Mei-Se Chien, 2011. "Empirical Modelling of Regional House Prices and the Ripple Effect," Urban Studies, Urban Studies Journal Limited, vol. 48(10), pages 2029-2047, August.
    16. Alejandro F. Rodríguez & M. Nieves Valdés, 2019. "Health care expenditures and GDP in Latin American and OECD countries: a comparison using a panel cointegration approach," International Journal of Health Economics and Management, Springer, vol. 19(2), pages 115-153, June.
    17. Belaïd, Fateh & Zrelli, Maha Harbaoui, 2019. "Renewable and non-renewable electricity consumption, environmental degradation and economic development: Evidence from Mediterranean countries," Energy Policy, Elsevier, vol. 133(C).
    18. 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.
    19. Sri Hari NAIDU. A & Phanindra GOYARI & Bandi KAMAIAH, 2016. "Determinants of sovereign bond yields in emerging economies: Some panel inferences," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania - AGER, vol. 0(3(608), A), pages 101-118, Autumn.
    20. Geoffrey M. Ngene & Daniel P. Sohn & M. Kabir Hassan, 2017. "Time-Varying and Spatial Herding Behavior in the US Housing Market: Evidence from Direct Housing Prices," The Journal of Real Estate Finance and Economics, Springer, vol. 54(4), pages 482-514, May.

    More about this item

    Keywords

    Consumption-wealth ratio; Housing returns; Volatility; Forecasting; Nonparametric causality-in-quantiles test;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • R31 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - Housing Supply and Markets

    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:eee:reveco:v:71:y:2021:i:c:p:779-810. 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: http://www.elsevier.com/locate/inca/620165 .

    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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/inca/620165 .

    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.