[go: up one dir, main page]
IDEAS home Printed from https://ideas.repec.org/p/nlv/wpaper/0919.html
   My bibliography  Save this paper

Monetary Policy and Housing Sector Dynamics in a Large-Scale Bayesian Vector Autoregressive Mode

Author

Listed:
  • Rangan Gupta

    (Department of Economics, University of Pretoria)

  • Marius Jurgilas

    (Financial Stability Directorate, Bank of England)

  • Alan Kabundi

    (Department of Economics and Econometrics, University of Johannesburg)

  • Stephen M. Miller

    (Department of Economics, University of Nevada, Las Vegas)

Abstract
Our paper considers this channel whereby monetary policy, a Federal funds rate shock, affects the dynamics of the US housing sector. The analysis uses impulse response functions obtained from a large-scale Bayesian Vector Autoregression (LBVAR) model that incorporates 143 monthly macroeconomic variables over the period of 1986:01 to 2003:12, including 21 variables relating to the housing sector at the national and four census regions. We find at the national level that housing starts, housing permits, and housing sales fall in response to the tightening of monetary policy. Housing sales reacts more quickly and sharply than starts and permits and exhibits more duration. Housing prices show the weakest response to the monetary policy shock. At the regional level, we conclude that the housing sector in the South drives the national data. The responses in the West differ the most from the other regions, especially for the impulse responses of housing starts and permits.

Suggested Citation

  • Rangan Gupta & Marius Jurgilas & Alan Kabundi & Stephen M. Miller, 2009. "Monetary Policy and Housing Sector Dynamics in a Large-Scale Bayesian Vector Autoregressive Mode," Working Papers 0919, University of Nevada, Las Vegas , Department of Economics.
    • Handle: RePEc:nlv:wpaper:0919
    as

    Download full text from publisher

    File URL: http://web.unlv.edu/projects/RePEc/pdf/0919.pdf
    File Function: First version, 2008
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Marta Bańbura, 2008. "Large Bayesian VARs," 2008 Meeting Papers 334, Society for Economic Dynamics.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. repec:cup:apsrev:v:98:y:2004:i:02:p:379-389_00 is not listed on IDEAS
    11. 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.
    12. 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.
    13. De Mol, Christine & Giannone, Domenico & Reichlin, Lucrezia, 2006. "Forecasting using a large number of predictors: is Bayesian regression a valid alternative to principal components?," Discussion Paper Series 1: Economic Studies 2006,32, Deutsche Bundesbank.
    14. 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.
    15. Ben S. Bernanke & Mark Gertler, 1999. "Monetary policy and asset price volatility," Proceedings - Economic Policy Symposium - Jackson Hole, Federal Reserve Bank of Kansas City, pages 77-128.
    16. Clements,Michael & Hendry,David, 1998. "Forecasting Economic Time Series," Cambridge Books, Cambridge University Press, number 9780521632423, September.
    17. 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.
    18. 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.
    19. 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.
    20. 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.
    21. 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.
    22. 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.
    23. 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.
    24. 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.
    25. 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.
    26. David E. Rapach & Jack K. Strauss, 2007. "Forecasting real housing price growth in the Eighth District states," Regional Economic Development, Federal Reserve Bank of St. Louis, issue Nov, pages 33-42.
    27. 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.
    28. 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.
    29. De Mol, Christine & Giannone, Domenico & Reichlin, Lucrezia, 2008. "Forecasting using a large number of predictors: Is Bayesian shrinkage a valid alternative to principal components?," Journal of Econometrics, Elsevier, vol. 146(2), pages 318-328, October.
    30. Rangan Gupta & Alain Kabundi, 2009. "The Effect Of Monetary Policy On House Price Inflation: A Factor Augmented Vector Autoregression (Favar) Approach," Working Papers 200903, University of Pretoria, Department of Economics.
    31. 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.
    32. 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.
    33. 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.
    34. 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.
    35. 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.
    36. 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.
    37. 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.
    38. 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.
    39. 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.
    40. 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.
    41. 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.
    42. 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.
    43. Matteo Iacoviello, 2002. "House Prices and Business Cycles in Europe: a VAR Analysis," Boston College Working Papers in Economics 540, Boston College Department of Economics.
    44. Clements, Michael P. & Hendry, David F., 1998. "Forecasting economic processes," International Journal of Forecasting, Elsevier, vol. 14(1), pages 111-131, March.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Goodness C. Aye & Mehmet Balcilar & Rangan Gupta & Charl Jooste & Stephen M. Miller & Zeynel Abidin Ozdemir, 2014. "Fiscal Policy Shocks and the Dynamics of Asset Prices," Public Finance Review, , vol. 42(4), pages 511-531, July.
    2. 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.
    3. Vasilios Plakandaras & Rangan Gupta & Constantinos Katrakilidis & Mark E. Wohar, 2020. "Time-varying role of macroeconomic shocks on house prices in the US and UK: evidence from over 150 years of data," Empirical Economics, Springer, vol. 58(5), pages 2249-2285, May.
    4. Rangan Gupta & Zhihui Lv & Wing-Keung Wong, 2019. "Macroeconomic Shocks and Changing Dynamics of the U.S. REITs Sector," Sustainability, MDPI, vol. 11(10), pages 1-12, May.
    5. Petre Caraiani & Adrian C. Călin & Rangan Gupta, 2021. "Monetary policy and bubbles in US REITs," International Review of Finance, International Review of Finance Ltd., vol. 21(2), pages 675-687, June.
    6. 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.
    7. 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.
    8. Cesa-Bianchi, Ambrogio, 2013. "Housing cycles and macroeconomic fluctuations: A global perspective," Journal of International Money and Finance, Elsevier, vol. 37(C), pages 215-238.
    9. repec:hum:wpaper:sfb649dp2014-004 is not listed on IDEAS
    10. Hideaki Hirata & M. Ayhan Kose & Christopher Otrok & Marco E Terrones, 2013. "Global House Price Fluctuations: Synchronization and Determinants," NBER International Seminar on Macroeconomics, University of Chicago Press, vol. 9(1), pages 119-166.
    11. Lozano, Francisco-Javier, 2013. "Evaluación de modelos de predicción para la venta de viviendas [Evaluation of forecasting models for house sales]," MPRA Paper 118652, University Library of Munich, Germany.
    12. 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.
    13. 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.
    14. Lütkepohl, Helmut, 2014. "Structural vector autoregressive analysis in a data rich environment: A survey," SFB 649 Discussion Papers 2014-004, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
    15. Isabel Ruiz & Carlos Vargas-Silva, 2016. "The impacts of fiscal policy shocks on the US housing market," Empirical Economics, Springer, vol. 50(3), pages 777-800, May.
    16. Dominika Ehrenbergerova & Josef Bajzik, 2020. "The Effect of Monetary Policy on House Prices - How Strong is the Transmission?," Working Papers 2020/14, Czech National Bank.

    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. 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.
    2. 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.
    3. 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.
    4. Balcilar, Mehmet & Gupta, Rangan & Shah, Zahra B., 2011. "An in-sample and out-of-sample empirical investigation of the nonlinearity in house prices of South Africa," Economic Modelling, Elsevier, vol. 28(3), pages 891-899, May.
    5. Auer, Simone, 2019. "Monetary policy shocks and foreign investment income: Evidence from a large Bayesian VAR," Journal of International Money and Finance, Elsevier, vol. 93(C), pages 142-166.
    6. Alain KABUNDI & Rangan GUPTA, 2009. "The Effect of Monetary Policy on House Price Inflation: A Factor Augmented Vector Autoregression (FAVAR) Approach," EcoMod2009 21500048, EcoMod.
    7. 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.
    8. Rangan Gupta & Alain Kabundi & Stephen M. Miller, 2009. "Using Large Data Sets to Forecast Housing Prices: A Case Study of Twenty US States," Working Papers 200912, University of Pretoria, Department of Economics.
    9. Berg, Tim O. & Henzel, Steffen R., 2015. "Point and density forecasts for the euro area using Bayesian VARs," International Journal of Forecasting, Elsevier, vol. 31(4), pages 1067-1095.
    10. Ms. Adina Popescu & Ms. Alina Carare, 2011. "Monetary Policy and Risk-Premium Shocks in Hungary: Results from a Large Bayesian VAR," IMF Working Papers 2011/259, International Monetary Fund.
    11. Kaabia, Olfa & Abid, Ilyes & Guesmi, Khaled, 2013. "Does Bayesian shrinkage help to better reflect what happened during the subprime crisis?," Economic Modelling, Elsevier, vol. 31(C), pages 423-432.
    12. Musso, Alberto & Neri, Stefano & Stracca, Livio, 2011. "Housing, consumption and monetary policy: How different are the US and the euro area?," Journal of Banking & Finance, Elsevier, vol. 35(11), pages 3019-3041, November.
    13. Karlsson, Sune, 2013. "Forecasting with Bayesian Vector Autoregression," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 791-897, Elsevier.
    14. 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.
    15. 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.
    16. Andrea Carriero & George Kapetanios & Massimiliano Marcellino, 2011. "Forecasting large datasets with Bayesian reduced rank multivariate models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 26(5), pages 735-761, August.
    17. Rangan Gupta & Alain Kabundi & Stephen Miller & Josine Uwilingiye, 2014. "Using large data sets to forecast sectoral employment," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 23(2), pages 229-264, June.
    18. Domenico Giannone & Michele Lenza & Giorgio E. Primiceri, 2015. "Prior Selection for Vector Autoregressions," The Review of Economics and Statistics, MIT Press, vol. 97(2), pages 436-451, May.
    19. 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.
    20. И Управления Мир Экономики, 2017. "Байесовский подход к анализу влияния монетарной политики на макроэкономические показатели России. Bayesian approach to the analysis of monetary policy impact on Russian macroeconomics indicators," Мир экономики и управления // Вестник НГУ. Cерия: Cоциально-экономические науки, Socionet;Новосибирский государственный университет, vol. 17(4), pages 53-70.

    More about this item

    Keywords

    Monetary policy; Housing sector dynamics; Large-Scale BVAR mode;
    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

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:nlv:wpaper:0919. See general information about how to correct material in RePEc.

    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: Bill Robinson (email available below). General contact details of provider: https://edirc.repec.org/data/denlvus.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.