IDEAS home Printed from https://ideas.repec.org/a/taf/apeclt/v15y2008i10p749-752.html
   My bibliography  Save this article

The effect of monetary policy on housing: a factor-augmented vector autoregression (FAVAR) approach

Author

Listed:
  • Carlos Vargas-Silva

Abstract

This study examines the link between monetary policy and the housing market. The analysis is conducted using impulse response functions derived from a factor-augmented vector autoregression (FAVAR) model. The FAVAR methodology as developed by Bernanke et al. (2005) avoids the degrees of freedom problem present in standard vector autoregression (VARs) models. The estimations are conducted using 120 macroeconomic time series in monthly frequency for the period January 1959 to August 2001. Results indicate that housing starts respond negatively to monetary policy shocks. This result is consistent across regions in the United States. In the case of housing permits and mobile home shipments, the response to a monetary policy shock is positive at first, but becomes negative after a few periods.

Suggested Citation

  • Carlos Vargas-Silva, 2008. "The effect of monetary policy on housing: a factor-augmented vector autoregression (FAVAR) approach," Applied Economics Letters, Taylor & Francis Journals, vol. 15(10), pages 749-752.
  • Handle: RePEc:taf:apeclt:v:15:y:2008:i:10:p:749-752
    DOI: 10.1080/13504850600770947
    as

    Download full text from publisher

    File URL: http://www.informaworld.com/openurl?genre=article&doi=10.1080/13504850600770947&magic=repec&7C&7C8674ECAB8BB840C6AD35DC6213A474B5
    Download Restriction: Access to full text is restricted to subscribers.

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

    References listed on IDEAS

    as
    1. Jushan Bai & Serena Ng, 2002. "Determining the Number of Factors in Approximate Factor Models," Econometrica, Econometric Society, vol. 70(1), pages 191-221, January.
    2. 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.
    3. 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.
    4. Lutz Kilian, 1998. "Small-Sample Confidence Intervals For Impulse Response Functions," The Review of Economics and Statistics, MIT Press, vol. 80(2), pages 218-230, May.
    5. 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.
    6. 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.
    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. Sigal Ribon, 2011. "The Effect of Monetary Policy on Inflation: A Factor Augmented VAR Approach using disaggregated data," Bank of Israel Working Papers 2011.12, Bank of Israel.
    2. Matteo Luciani, 2015. "Monetary Policy and the Housing Market: A Structural Factor Analysis," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 30(2), pages 199-218, March.
    3. John McDonald & Houston Stokes, 2013. "Monetary Policy and the Housing Bubble," The Journal of Real Estate Finance and Economics, Springer, vol. 46(3), pages 437-451, April.
    4. 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.
    5. Takao Fujii & Kazuki Hiraga & Masafumi Kozuka, 2012. "Analyses of Public Investment Shock in Japan: Factor Augmented Vector Autoregressive Approach," Keio/Kyoto Joint Global COE Discussion Paper Series 2012-006, Keio/Kyoto Joint Global COE Program.
    6. Nannan Yuan & Shigeyuki Hamori, 2014. "Are government interventions effective in regulating China fs house prices?," Discussion Papers 1427, Graduate School of Economics, Kobe University.
    7. Rangan Gupta & Marius Jurgilas & Alain Kabundi & Stephen M. Miller, 2011. "Monetary policy and housing sector dynamics in a large-scale Bayesian vector autoregressive model," International Journal of Strategic Property Management, Taylor & Francis Journals, vol. 16(1), pages 1-20, August.
    8. 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.
    9. Kyle E. Binder & Mohsen Pourahmadi & James W. Mjelde, 2020. "The role of temporal dependence in factor selection and forecasting oil prices," Empirical Economics, Springer, vol. 58(3), pages 1185-1223, March.
    10. Jing-Ping Li & Jiao-Jiao Fan & Chi-Wei Su & Oana-Ramona Lobonţ, 2017. "Investment coordinates in the context of housing and stock markets nexus," Applied Economics Letters, Taylor & Francis Journals, vol. 24(20), pages 1455-1463, November.
    11. Kazi, Irfan Akbar & Wagan, Hakimzadi & Akbar, Farhan, 2013. "The changing international transmission of U.S. monetary policy shocks: Is there evidence of contagion effect on OECD countries," Economic Modelling, Elsevier, vol. 30(C), pages 90-116.
    12. Gogas, Periklis & Pragidis, Ioannis, 2010. "Does the Interest Risk Premium Predict Housing Prices?," DUTH Research Papers in Economics 1-2010, Democritus University of Thrace, Department of Economics.
    13. 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.
    14. Todd H. Kuethe & Valerien Pede, 2009. "Regional Housing Price Cycles: A Spatio-Temporal Analysis Using Us State Level," Working Papers 09-04, Purdue University, College of Agriculture, Department of Agricultural Economics.
    15. Carolina Cosculluela-Mart, 2013. "Housing investment in Spain: has it been the main engine of growth?," Applied Economics, Taylor & Francis Journals, vol. 45(14), pages 1835-1843, May.
    16. Fujii, Takao & Hiraga, Kazuki & Kozuka, Masafumi, 2013. "Effects of public investment on sectoral private investment: A factor augmented VAR approach," Journal of the Japanese and International Economies, Elsevier, vol. 27(C), pages 35-47.
    17. Geoffrey Meen & Alexander Mihailov & Yehui Wang, 2016. "Endogenous UK Housing Cycles and the Risk Premium: Understanding the Next Housing Crisis," Economics Discussion Papers em-dp2016-02, Department of Economics, Reading University.
    18. Chandler Lutz, 2015. "The international impact of US unconventional monetary policy," Applied Economics Letters, Taylor & Francis Journals, vol. 22(12), pages 955-959, August.
    19. Charles Rahal,, 2016. "Housing markets and unconventional monetary policy," Journal of Housing Economics, Elsevier, vol. 32(C), pages 67-80.

    More about this item

    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:taf:apeclt:v:15:y:2008:i:10:p:749-752. 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: (Chris Longhurst). General contact details of provider: http://www.tandfonline.com/RAEL20 .

    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 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.

    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.