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Temporal Causality between House Prices and Output in the U.S.: A Bootstrap Rolling-Window Approach

  • Wendy Nyakabawo

    (University of Pretoria)

  • Stephen M. Miller

    (University of Nevada, Las Vegas and University of Connecticut)

  • Mehmet Balcilar

    (Eastern Mediterranean University)

  • Sonali Das

    (Council for Scientific and Industrial Research)

  • Rangan Gupta

    (University of Pretoria)

This paper examines the causal relationships between the real house price index and real GDP per capita in the U.S., using the bootstrap Granger (temporal) non-causality test and a fixed-size rolling-window estimation approach. We use quarterly time-series data on the real house price index and real GDP per capita, covering the period 1963:Q1 to 2012:Q2. The full-sample bootstrap non-Granger causality test result suggests the existence of a unidirectional causality running from the real house price index to real GDP per capita. A wide variety of tests of parameter constancy used to examine the stability of the estimated vector autoregressive (VAR) models indicate short- and long-run instability. This suggests that we cannot rely on the full-sample causality tests and, hence, this warrants a time-varying (bootstrap) rolling-window approach to examine the causal relationship between these two variables. Using a rolling window size of 28 quarters, we find that while causality from the real house price to real GDP per capita occurs frequently, significant, but less frequent, evidence of real GDP per capita causing the real house price also occurs. These results imply that while the real house price leads real GDP per capita, in general (both during expansions and recessions), significant feedbacks also exist from real GDP per capita to the real house price.

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Paper provided by University of Connecticut, Department of Economics in its series Working papers with number 2013-14.

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Length: 31 pages
Date of creation: Jun 2013
Date of revision:
Handle: RePEc:uct:uconnp:2013-14
Note: Stephen M. Miller is corresponding author.
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  1. Dynan, Karen E. & Elmendorf, Douglas W. & Sichel, Daniel E., 2006. "Can financial innovation help to explain the reduced volatility of economic activity?," Journal of Monetary Economics, Elsevier, vol. 53(1), pages 123-150, January.
  2. Karl E. Case & John M. Quigley & Robert J. Shiller, 2001. "Comparing Wealth Effects: The Stock Market versus the Housing Market," Cowles Foundation Discussion Papers 1335, Cowles Foundation for Research in Economics, Yale University.
  3. Matteo Iacoviello, 2002. "House prices, borrowing constraints and monetary policy in the business cycle," Boston College Working Papers in Economics 542, Boston College Department of Economics, revised 06 Dec 2004.
  4. Campbell, John Y. & Cocco, Joao F., 2007. "How do house prices affect consumption? Evidence from micro data," Journal of Monetary Economics, Elsevier, vol. 54(3), pages 591-621, April.
  5. Pesaran, M. Hashem & Timmermann, Allan, 2005. "Small sample properties of forecasts from autoregressive models under structural breaks," Journal of Econometrics, Elsevier, vol. 129(1-2), pages 183-217.
  6. James D. Hamilton, 2009. "Causes and Consequences of the Oil Shock of 2007-08," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 40(1 (Spring), pages 215-283.
  7. Davidson, Russell & MacKinnon, James G., 1999. "The Size Distortion Of Bootstrap Tests," Econometric Theory, Cambridge University Press, vol. 15(03), pages 361-376, June.
  8. Aurelie SANNAJUST, 2014. "Impact of the World Financial Crisis to SMEs: The determinants of bank loan rejection in Europe and USA," Working Papers 2014-327, Department of Research, Ipag Business School.
  9. Heni Boubaker & Nadia Sghaier, 2014. "On the dynamic dependence between US and other developed stock markets: An extreme-value time-varying copula approach," Working Papers 2014-281, Department of Research, Ipag Business School.
  10. Chadi S. Abdallah & William D. Lastrapes, 2012. "Home Equity Lending and Retail Spending: Evidence from a Natural Experiment in Texas," American Economic Journal: Macroeconomics, American Economic Association, vol. 4(4), pages 94-125, October.
  11. Norman Miller & Liang Peng & Michael Sklarz, 2011. "House Prices and Economic Growth," The Journal of Real Estate Finance and Economics, Springer, vol. 42(4), pages 522-541, May.
  12. Candelon Bertrand & Ahmed Jameel & Straetmans Stefan, 2012. "Predicting and Capitalizing on Stock Market Bears in the U.S," Research Memorandum 019, Maastricht University, Maastricht Research School of Economics of Technology and Organization (METEOR).
  13. Hansen, Bruce E, 2002. "Tests for Parameter Instability in Regressions with I(1) Processes," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 45-59, January.
  14. Atsushi Inoue & Lutz Kilian, 2002. "Bootstrapping Autoregressive Processes with Possible Unit Roots," Econometrica, Econometric Society, vol. 70(1), pages 377-391, January.
  15. Stock, James H & Watson, Mark W, 1996. "Evidence on Structural Instability in Macroeconomic Time Series Relations," Journal of Business & Economic Statistics, American Statistical Association, vol. 14(1), pages 11-30, January.
  16. Mackinnon, J.G. & Haug, A.A. & Michelis, L., 1996. "Numerical Distribution Functions of Likelihood Ratio Tests for Cointegration," G.R.E.Q.A.M. 96a09, Universite Aix-Marseille III.
  17. Granger, C W J, 1969. "Investigating Causal Relations by Econometric Models and Cross-Spectral Methods," Econometrica, Econometric Society, vol. 37(3), pages 424-38, July.
  18. Edward E. Leamer, 2007. "Housing IS the Business Cycle," NBER Working Papers 13428, National Bureau of Economic Research, Inc.
  19. Sousa, Ricardo M., 2010. "Housing wealth, financial wealth, money demand and policy rule: Evidence from the euro area," The North American Journal of Economics and Finance, Elsevier, vol. 21(1), pages 88-105, March.
  20. Luca Guerrieri & Matteo Iacoviello, 2015. "Collateral constraints and macroeconomic asymmetries," National Bank of Poland Working Papers 202, National Bank of Poland, Economic Institute.
  21. Matteo Iacoviello & Stefano Neri, 2010. "Housing Market Spillovers: Evidence from an Estimated DSGE Model," American Economic Journal: Macroeconomics, American Economic Association, vol. 2(2), pages 125-64, April.
  22. Zvi Hercowitz & Jeffrey C. Campbell, 2005. "The Role of Collateralized Household Debt in Macroeconomic Stabilization," 2005 Meeting Papers 120, Society for Economic Dynamics.
  23. Case, Karl E. & Quigley, John M. & Shiller, Robert J., 2013. "Wealth Effects Revisited 1975-2012," Critical Finance Review, now publishers, vol. 2(1), pages 101-128, July.
  24. Rangan Gupta & Shawkat Hammoudeh & Mampho P. Modise & Duc Khuong Nguyen, 2013. "Can Economic Uncertainty, Financial Stress and Consumer Sentiments Predict U.S. Equity Premium?," Working Papers 201351, University of Pretoria, Department of Economics.
  25. Wendy Nyakabawo & Stephen M. Miller & Mehmet Balcilar & Sonali Das & Rangan Gupta, 2014. "Temporal Causality between House Prices and Output in the U. S.: A Bootstrap Rolling-Window Approach," Working Papers 2014-476, Department of Research, Ipag Business School.
  26. Atif R. Mian & Amir Sufi, 2009. "House Prices, Home Equity-Based Borrowing, and the U.S. Household Leverage Crisis," NBER Working Papers 15283, National Bureau of Economic Research, Inc.
  27. Serena Ng & Pierre Perron, 1997. "Lag Length Selection and the Construction of Unit Root Tests with Good Size and Power," Boston College Working Papers in Economics 369, Boston College Department of Economics, revised 01 Sep 2000.
  28. Furkan Emirmahmutoglu & Mehmet Balcilar & Nicholas Apergis & Beatrice D. Simo-Kengne & Tsangyao Chang & Rangan Gupta, 2014. "Causal relationship between asset prices and output in the US: Evidence from state-level panel Granger causality test," Working Papers 201411, University of Pretoria, Department of Economics.
  29. Mantalos, Panagiotis & Shukur, Ghazi, 1998. "Size and Power of the Error Correction Model Cointegration Test. A Bootstrap Approach," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 60(2), pages 249-55, May.
  30. Park, Joon Y. & Phillips, Peter C.B., 1989. "Statistical Inference in Regressions with Integrated Processes: Part 2," Econometric Theory, Cambridge University Press, vol. 5(01), pages 95-131, April.
  31. Zheng Liu & Pengfei Wang & Tao Zha, 2011. "Land-price dynamics and macroeconomic fluctuations," Working Paper Series 2011-26, Federal Reserve Bank of San Francisco.
  32. Goodness C. Aye & Stephen M. Miller & Rangan Gupta & Mehmet Balcilar, 2014. "Forecasting US Real Private Residential Fixed Investment Using a Large Number of Predictors," Working Papers 2014-465, Department of Research, Ipag Business School.
  33. Toda, Hiro Y & Phillips, Peter C B, 1993. "Vector Autoregressions and Causality," Econometrica, Econometric Society, vol. 61(6), pages 1367-93, November.
  34. Thomas Philippon & Virgiliu Midrigan, 2013. "Household Leverage and the Recession," 2013 Meeting Papers 335, Society for Economic Dynamics.
  35. Richard K. Green, 1996. "Follow the Leader: How Changes In Residential and Non-Residential Investment Predict Changes in GDP," Wisconsin-Madison CULER working papers 96-05, University of Wisconsin Center for Urban Land Economic Research.
  36. Zhou Xia & Carroll Christopher D., 2012. "Dynamics of Wealth and Consumption: New and Improved Measures for U.S. States," The B.E. Journal of Macroeconomics, De Gruyter, vol. 12(2), pages 1-44, March.
  37. Irfan Akbar Kazi & Hakimzadi Wagan, 2014. "Are emerging markets exposed to contagion from U.S.: Evidence from stock and sovereign bond markets," Working Papers 2014-058, Department of Research, Ipag Business School.
  38. Willem H. Buiter, 2008. "Housing Wealth Isn't Wealth," NBER Working Papers 14204, National Bureau of Economic Research, Inc.
  39. Kosuke Aoki & James Proudman & Gertjan Vlieghe, 2002. "House prices, consumption, and monetary policy: a financial accelerator approach," Bank of England working papers 169, Bank of England.
  40. Markus Demary, 2010. "The interplay between output, inflation, interest rates and house prices: international evidence," Journal of Property Research, Taylor & Francis Journals, vol. 27(1), pages 1-17, April.
  41. Stephen M. Miller & Luis F. Martins & Rangan Gupta, 2014. "A Time-Varying Approach of the US Welfare Cost of Inflation," Working papers 2014-11, University of Connecticut, Department of Economics.
  42. Carroll, Christopher D. & Otsuka, Misuzu & Slacalek, Jiri, 2010. "How large are housing and financial wealth effects? A new approach," Working Paper Series 1283, European Central Bank.
  43. Stelios Bekiros & Alessia Paccagnini, 2014. "Forecasting the US Economy with a Factor-Augmented Vector Autoregressive DSGE model," Working Papers 2014-183, Department of Research, Ipag Business School.
  44. 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.
  45. Ghazi Shukur & Panagiotis Mantalos, 2000. "A simple investigation of the Granger-causality test in integrated-cointegrated VAR systems," Journal of Applied Statistics, Taylor & Francis Journals, vol. 27(8), pages 1021-1031.
  46. Donald W.K. Andrews, 1990. "Tests for Parameter Instability and Structural Change with Unknown Change Point," Cowles Foundation Discussion Papers 943, Cowles Foundation for Research in Economics, Yale University.
  47. Zeileis, Achim & Leisch, Friedrich & Kleiber, Christian & Hornik, Kurt, 2002. "Monitoring structural change in dynamic econometric models," Technical Reports 2002,07, Technische Universität Dortmund, Sonderforschungsbereich 475: Komplexitätsreduktion in multivariaten Datenstrukturen.
  48. Mantalos Panagiotis, 2000. "A Graphical Investigation of the Size and Power of the Granger-Causality Tests in Integrated-Cointegrated VAR Systems," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 4(1), pages 1-18, April.
  49. Vasilios Plakandaras & Rangan Gupta & Periklis Gogas & Theophilos Papadimitriou, 2014. "Forecasting the U.S. Real House Price Index," Working Papers 201418, University of Pretoria, Department of Economics.
  50. Nathalie Girouard & Mike Kennedy & Paul van den Noord & Christophe André, 2006. "Recent House Price Developments: The Role of Fundamentals," OECD Economics Department Working Papers 475, OECD Publishing.
  51. Dungey, Mardi & Jacobs, Jan P.A.M. & Lestano,, 2015. "The internationalisation of financial crises: Banking and currency crises 1883–2008," The North American Journal of Economics and Finance, Elsevier, vol. 32(C), pages 29-47.
  52. Andrews, Donald W K & Ploberger, Werner, 1994. "Optimal Tests When a Nuisance Parameter Is Present Only under the Alternative," Econometrica, Econometric Society, vol. 62(6), pages 1383-1414, November.
  53. Mohamed Arouri & Duc Khuong Nguyen & Kuntara Pukthuanthong, 2014. "Diversification benefits and strategic portfolio allocation across asset classes: The case of the US markets," Working Papers 2014-294, Department of Research, Ipag Business School.
  54. R. Scott Hacker & Abdulnasser Hatemi-J, 2006. "Tests for causality between integrated variables using asymptotic and bootstrap distributions: theory and application," Applied Economics, Taylor & Francis Journals, vol. 38(13), pages 1489-1500.
  55. Horowitz, Joel L., 1994. "Bootstrap-based critical values for the information matrix test," Journal of Econometrics, Elsevier, vol. 61(2), pages 395-411, April.
  56. Andreas Koutris & Maria Heracleous & Aris Spanos, 2008. "Testing for Nonstationarity Using Maximum Entropy Resampling: A Misspecification Testing Perspective," Econometric Reviews, Taylor & Francis Journals, vol. 27(4-6), pages 363-384.
  57. Johansen, Soren, 1991. "Estimation and Hypothesis Testing of Cointegration Vectors in Gaussian Vector Autoregressive Models," Econometrica, Econometric Society, vol. 59(6), pages 1551-80, November.
  58. James D. Hamilton, 2000. "What is an Oil Shock?," NBER Working Papers 7755, National Bureau of Economic Research, Inc.
  59. Toda, Hiro Y. & Yamamoto, Taku, 1995. "Statistical inference in vector autoregressions with possibly integrated processes," Journal of Econometrics, Elsevier, vol. 66(1-2), pages 225-250.
  60. Balcilar, Mehmet & Ozdemir, Zeynel Abidin & Arslanturk, Yalcin, 2010. "Economic growth and energy consumption causal nexus viewed through a bootstrap rolling window," Energy Economics, Elsevier, vol. 32(6), pages 1398-1410, November.
  61. Beatrice D. Simo-Kengne & Manoel Bittencourt & Rangan Gupta, 2011. "House Prices and Economic Growth in South Africa: Evidence from Provincial-Level Data," Working Papers 201116, University of Pretoria, Department of Economics.
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