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Financial Market Liberalization, Monetary Policy, and Housing Price Dynamics

Author

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  • Rangan Gupta

    (University of Pretoria)

  • Stephen M. Miller

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

  • Dylan van Wyk

    (University of Pretoria)

Abstract

This paper considers how monetary policy, a Federal funds rate shock, affects the dynamics of the US housing sector and whether the financial market liberalization of the early 1980s influenced those dynamics. The analysis uses impulse response functions obtained from a large-scale Bayesian Vector Autoregression (LBVAR) model over the periods 1968:01 to 1982:12 and 1989:01 to 2003:12, including 21 housing-sector variables at the national and four census regions. Overall, the 100 basis point Federal funds rate shock produces larger effects on the real house prices, both at the regional level and the national level, in the post-liberalization period when compared to the pre-liberalization era. While the precision of the estimates do not imply significant differences, the finding does offer a caution. That is, the housing market appears more sensitive to monetary policy shocks in the post-liberalization period. On the one hand, this suggests that monetary policy possesses increased leverage. On the other hand, the housing market cycle traditionally contributes an important component to the aggregate business cycle. Thus, the monetary authorities may need to exercise more care in implementing Federal funds rate adjustments going forward. In addition, contractionary monetary policy exerts a negative effect on house prices at the national level, indicating the absence of the price puzzle in small structural vector autoregressive models. The puzzles absence in the housing sector possibly emerges as a result of proper identification of monetary policy shocks within a data-rich environment. Finally, we find that the reaction of housing sector proves heterogeneous across regions, with the housing sector in the South driving the national data after liberalization, while before liberalization, the Middle West appears to drive the housing market. The responses in the West differ the most from the other regions.

Suggested Citation

  • Rangan Gupta & Stephen M. Miller & Dylan van Wyk, 2010. "Financial Market Liberalization, Monetary Policy, and Housing Price Dynamics," Working papers 2010-06, University of Connecticut, Department of Economics.
  • Handle: RePEc:uct:uconnp:2010-06
    Note: We would like to thank Marta Banbura for providing us with the codes used in estimating the large-scale BVAR and her assistance with its implementation.
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    1. 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.
    2. Ailie Charteris & Barry Strydom, 2016. "Stock return predictability in South Africa: An Alternative Approach," Working Papers 85, Economic Research Southern Africa.
    3. Ben S. Bernanke & Mark Gertler, 1995. "Inside the Black Box: The Credit Channel of Monetary Policy Transmission," Journal of Economic Perspectives, American Economic Association, vol. 9(4), pages 27-48, Fall.
    4. repec:cup:apsrev:v:98:y:2004:i:02:p:379-389_00 is not listed on IDEAS
    5. Alan G. Ahearne & John Ammer & Brian M. Doyle & Linda S. Kole & Robert F. Martin, 2005. "Monetary Policy and House Prices: A Cross-Country Study," Working Papers Central Bank of Chile 344, Central Bank of Chile.
    6. Lawrence J. Christiano & Martin Eichenbaum & Charles L. Evans, 2005. "Nominal Rigidities and the Dynamic Effects of a Shock to Monetary Policy," Journal of Political Economy, University of Chicago Press, vol. 113(1), pages 1-45, February.
    7. Ben S. Bernanke & Jean Boivin & Piotr Eliasz, 2005. "Measuring the Effects of Monetary Policy: A Factor-Augmented Vector Autoregressive (FAVAR) Approach," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 120(1), pages 387-422.
    8. 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 125-164, April.
    9. repec:ulb:ulbeco:2013/13388 is not listed on IDEAS
    10. Marta Banbura & Domenico Giannone & Lucrezia Reichlin, 2010. "Large Bayesian vector auto regressions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(1), pages 71-92.
    11. Canova, Fabio, 1991. "The Sources of Financial Crisis: Pre- and Post-Fed Evidence," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 32(3), pages 689-713, August.
    12. Matteo Iacoviello, 2005. "House Prices, Borrowing Constraints, and Monetary Policy in the Business Cycle," American Economic Review, American Economic Association, vol. 95(3), pages 739-764, June.
    13. Iacoviello, Matteo & Minetti, Raoul, 2008. "The credit channel of monetary policy: Evidence from the housing market," Journal of Macroeconomics, Elsevier, vol. 30(1), pages 69-96, March.
    14. 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.
    15. Litterman, Robert B, 1986. "Forecasting with Bayesian Vector Autoregressions-Five Years of Experience," Journal of Business & Economic Statistics, American Statistical Association, vol. 4(1), pages 25-38, January.
    16. Ghent, Andra C. & Owyang, Michael T., 2010. "Is housing the business cycle? Evidence from US cities," Journal of Urban Economics, Elsevier, vol. 67(3), pages 336-351, May.
    17. Sims, Christopher A., 1992. "Interpreting the macroeconomic time series facts : The effects of monetary policy," European Economic Review, Elsevier, vol. 36(5), pages 975-1000, June.
    18. Ian Christensen & Paul Corrigan & Caterina Mendicino & Shin‐Ichi Nishiyama, 2016. "Consumption, housing collateral and the Canadian business cycle," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 49(1), pages 207-236, February.
    19. Darracq Pariès, Matthieu & Notarpietro, Alessandro, 2008. "Monetary policy and housing prices in an estimated DSGE for the US and the euro area," Working Paper Series 972, European Central Bank.
    20. Jeffrey R. Campbell & Zvi Hercowitz, 2005. "The Role of Collateralized Household Debt in Macroeconomic Stabilization," NBER Working Papers 11330, National Bureau of Economic Research, Inc.
    21. Richard K. Green, 1997. "Follow the Leader: How Changes in Residential and Non‐residential Investment Predict Changes in GDP," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 25(2), pages 253-270, June.
    22. Gordon, David B & Leeper, Eric M, 1994. "The Dynamic Impacts of Monetary Policy: An Exercise in Tentative Identification," Journal of Political Economy, University of Chicago Press, vol. 102(6), pages 1228-1247, December.
    23. Clements,Michael & Hendry,David, 1998. "Forecasting Economic Time Series," Cambridge Books, Cambridge University Press, number 9780521634809.
    24. Gupta, Rangan & Kabundi, Alain & Miller, Stephen M., 2011. "Forecasting the US real house price index: Structural and non-structural models with and without fundamentals," Economic Modelling, Elsevier, vol. 28(4), pages 2013-2021, July.
    25. Jonathan McCarthy & Richard Peach, 2002. "Monetary policy transmission to residential investment," Economic Policy Review, Federal Reserve Bank of New York, vol. 8(May), pages 139-158.
    26. Gerald Carlino & Robert Defina, 1998. "The Differential Regional Effects Of Monetary Policy," The Review of Economics and Statistics, MIT Press, vol. 80(4), pages 572-587, November.
    27. Das, Sonali & Gupta, Rangan & Kabundi, Alain, 2009. "Could we have predicted the recent downturn in the South African housing market?," Journal of Housing Economics, Elsevier, vol. 18(4), pages 325-335, December.
    28. Vargas-Silva, Carlos, 2008. "Monetary policy and the US housing market: A VAR analysis imposing sign restrictions," Journal of Macroeconomics, Elsevier, vol. 30(3), pages 977-990, September.
    29. Chris Bloor & Troy Matheson, 2010. "Analysing shock transmission in a data-rich environment: a large BVAR for New Zealand," Empirical Economics, Springer, vol. 39(2), pages 537-558, October.
    30. Marta Bańbura, 2008. "Large Bayesian VARs," 2008 Meeting Papers 334, Society for Economic Dynamics.
    31. Efthymios Pavlidis & I Paya & D Peel & A M Spiru, 2009. "Bubbles in House Prices and their Impact on Consumption: Evidence for the US," Working Papers 601552, Lancaster University Management School, Economics Department.
    32. James H. Stock & Mark W. Watson, 2005. "Implications of Dynamic Factor Models for VAR Analysis," NBER Working Papers 11467, National Bureau of Economic Research, Inc.
    33. Marta Banbura & Domenico Giannone & Lucrezia Reichlin, 2010. "Large Bayesian vector auto regressions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(1), pages 71-92.
    34. Case, Karl E. & Quigley, John M. & Shiller, Robert J., 2001. "Comparing Wealth Effects: The Stock Market versus The Housing Market," Department of Economics, Working Paper Series qt44k6g6vx, Department of Economics, Institute for Business and Economic Research, UC Berkeley.
    35. Thomas Doan & Robert B. Litterman & Christopher A. Sims, 1983. "Forecasting and Conditional Projection Using Realistic Prior Distributions," NBER Working Papers 1202, National Bureau of Economic Research, Inc.
    36. Falk, Barry L., 1986. "Unanticipated Money Supply Growth and Single-Family Housing Starts in the U.S.: 1964-1983," Staff General Research Papers Archive 11099, Iowa State University, Department of Economics.
    37. Ndahiriwe Kasai & Rangan Gupta, 2010. "Financial Liberalization and the Effectiveness of Monetary Policy on House Prices in South Africa," The IUP Journal of Monetary Economics, IUP Publications, vol. 0(4), pages 59-74, November.
    38. James H. Stock & Mark W.Watson, 2003. "Forecasting Output and Inflation: The Role of Asset Prices," Journal of Economic Literature, American Economic Association, vol. 41(3), pages 788-829, September.
    39. Bradley Ewing & Yongsheng Wang, 2005. "Single housing starts and macroeconomic activity: an application of generalized impulse response analysis," Applied Economics Letters, Taylor & Francis Journals, vol. 12(3), pages 187-190.
    40. Gerald A. Carlino & Robert H. DeFina, 1999. "Do states respond differently to changes in monetary policy?," Business Review, Federal Reserve Bank of Philadelphia, issue Jul, pages 17-27.
    41. Stock, James H & Watson, Mark W, 2002. "Macroeconomic Forecasting Using Diffusion Indexes," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(2), pages 147-162, April.
    42. Kadiyala, K Rao & Karlsson, Sune, 1997. "Numerical Methods for Estimation and Inference in Bayesian VAR-Models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 12(2), pages 99-132, March-Apr.
    43. Beck, Nathaniel & King, Gary & Zeng, Langche, 2000. "Improving Quantitative Studies of International Conflict: A Conjecture," American Political Science Review, Cambridge University Press, vol. 94(1), pages 21-35, March.
    44. Matteo Iacoviello & Raoul Minetti, 2003. "Financial Liberalization And The Sensitivity Of House Prices To Monetary Policy: Theory And Evidence," Manchester School, University of Manchester, vol. 71(1), pages 20-34, January.
    45. Rangan Gupta & Alain Kabundi, 2010. "The effect of monetary policy on house price inflation," Journal of Economic Studies, Emerald Group Publishing Limited, vol. 37(6), pages 616-626, November.
    46. Gupta, Rangan & Jurgilas, Marius & Kabundi, Alain, 2010. "The effect of monetary policy on real house price growth in South Africa: A factor-augmented vector autoregression (FAVAR) approach," Economic Modelling, Elsevier, vol. 27(1), pages 315-323, January.
    47. Mark W. Watson & James H. Stock, 2004. "Combination forecasts of output growth in a seven-country data set," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 23(6), pages 405-430.
    48. Litterman, Robert, 1986. "Forecasting with Bayesian vector autoregressions -- Five years of experience : Robert B. Litterman, Journal of Business and Economic Statistics 4 (1986) 25-38," International Journal of Forecasting, Elsevier, vol. 2(4), pages 497-498.
    49. Clements, Michael P. & Hendry, David F., 1998. "Forecasting economic processes," International Journal of Forecasting, Elsevier, vol. 14(1), pages 111-131, March.
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    Cited by:

    1. Vittorio Peretti & Rangan Gupta & Roula Inglesi-Lotz, 2012. "Do House Prices Impact Consumption and Interest Rate in South Africa? Evidence from a Time-Varying Vector Autoregressive Model," Working Papers 201216, University of Pretoria, Department of Economics.
    2. Goodness C. Aye & Mehmet Balcilar & Rangan Gupta & Charl Jooste & Stephen M. Miller & Zeynel A. Ozdemir, 2012. "Fiscal Policy Shocks and the Dynamics of Asset Prices: The South African Experience," Working Papers 201228, University of Pretoria, Department of Economics.
    3. Beatrice D. Simo - Kengne & Mehmet Balcilar & Rangan Gupta & Monique Reid & Goodness C. Aye, 2012. "Is the relationship between monetary policy and house prices asymmetric in South Africa? Evidence from a Markov-Switching Vector Autoregressive mode," Working Papers 15-26, Eastern Mediterranean University, Department of Economics.
    4. Temitope L.A Leshoro, 2014. "Does the Repurchase Rate Affect Inflation in South Africa? An Empirical Analysis Using an Impulse Response Function," Journal of Economics and Behavioral Studies, AMH International, vol. 6(7), pages 524-531.
    5. Simo-Kengne, Beatrice D. & Balcilar, Mehmet & Gupta, Rangan & Reid, Monique & Aye, Goodness C., 2013. "Is the relationship between monetary policy and house prices asymmetric across bull and bear markets in South Africa? Evidence from a Markov-switching vector autoregressive model," Economic Modelling, Elsevier, vol. 32(C), pages 161-171.
    6. Ahdi N. Ajmi & Vassilios Babalos & Fotini Economou & Rangan Gupta, 2014. "Real Estate Markets and Uncertainty Shocks: A Variance Causality Approach," Working Papers 201436, University of Pretoria, Department of Economics.
    7. Beatrice D. Simo-Kengne & Stephen M. Miller & Rangan Gupta, 2013. "Evolution of Monetary Policy in the US: The Role of Asset Prices," Working Papers 201343, University of Pretoria, Department of Economics.
    8. Rangan Gupta, 2012. "Forecasting House Prices for the Four Census Regions and the Aggregate US Economy: The Role of a Data-Rich Environment," Working Papers 201214, University of Pretoria, Department of Economics.

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    More about this item

    Keywords

    Monetary policy; Housing price dynamics; Large-Scale BVAR models;
    All these keywords.

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • R31 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - Housing Supply and Markets

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