IDEAS home Printed from https://ideas.repec.org/a/fip/fedreq/y2011i1qp45-66nv.97no.1.html
   My bibliography  Save this article

Housing and the Great Recession : a VAR accounting exercise

Author

Listed:
  • Samuel E. Henly
  • Alexander L. Wolman

Abstract

We use a vector autoregression (VAR) for the components of gross domestic product (GDP) to conduct some sectoral and temporal accounting for the current recession. It is obvious that housing played an important role in the current recession, but residential investment declined for two years before GDP declined. According to the VAR, the level of GDP in the second quarter of 2009---the trough of the decline in GDP---was close to but above the level implied by the estimated sequence of VAR innovations to residential investment over the period 2006:Q1--2009:Q2. Until late 2007 other offsetting shocks kept real GDP growing roughly at trend, but after that the other shocks disappeared or reversed sign. Taking a similar approach with employment, we first observe that, as with output, employment in the housing industry began to fall well before aggregate employment. However, unlike output, the eventual decline in aggregate employment dwarfed the decline in housing-industry employment. The shock to residential construction employment can nonetheless explain a small portion of the current employment shortfall relative to trend.

Suggested Citation

  • Samuel E. Henly & Alexander L. Wolman, 2011. "Housing and the Great Recession : a VAR accounting exercise," Economic Quarterly, Federal Reserve Bank of Richmond, vol. 97(1Q), pages 45-66.
  • Handle: RePEc:fip:fedreq:y:2011:i:1q:p:45-66:n:v.97no.1
    as

    Download full text from publisher

    File URL: https://www.richmondfed.org/-/media/RichmondFedOrg/publications/research/economic_quarterly/2011/q1/pdf/wolman.pdf
    File Function: Full Text
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Sims, Christopher A & Stock, James H & Watson, Mark W, 1990. "Inference in Linear Time Series Models with Some Unit Roots," Econometrica, Econometric Society, vol. 58(1), pages 113-144, January.
    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. Judith Giles & Cara Williams, 2001. "Export-led growth: a survey of the empirical literature and some non-causality results. Part 2," The Journal of International Trade & Economic Development, Taylor & Francis Journals, vol. 9(4), pages 445-470.
    2. Athanasopoulos, George & de Carvalho Guillén, Osmani Teixeira & Issler, João Victor & Vahid, Farshid, 2011. "Model selection, estimation and forecasting in VAR models with short-run and long-run restrictions," Journal of Econometrics, Elsevier, vol. 164(1), pages 116-129, September.
    3. Tomas Konecny & Oxana Babecka-Kucharcukova, 2016. "Credit Spreads and the Links between the Financial and Real Sectors in a Small Open Economy: The Case of the Czech Republic," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 66(4), pages 302-321, August.
    4. Morita, Hiroshi, 2014. "External shocks and Japanese business cycles: Evidence from a sign-restricted VAR model," Japan and the World Economy, Elsevier, vol. 30(C), pages 59-74.
    5. Titus O. Awokuse, 2003. "Is the export-led growth hypothesis valid for Canada?," Canadian Journal of Economics, Canadian Economics Association, vol. 36(1), pages 126-136, February.
    6. Bagliano, Fabio C. & Favero, Carlo A., 1998. "Measuring monetary policy with VAR models: An evaluation," European Economic Review, Elsevier, vol. 42(6), pages 1069-1112, June.
    7. Masih, Abul M. M. & Masih, Rumi, 1999. "Are Asian stock market fluctuations due mainly to intra-regional contagion effects? Evidence based on Asian emerging stock markets," Pacific-Basin Finance Journal, Elsevier, vol. 7(3-4), pages 251-282, August.
    8. Jerome Creel & Paola Monperrus-Veroni & Francesco Saraceno, 2007. "Has the Golden Rule of Public Finance Made a Difference in the UK ?," Documents de Travail de l'OFCE 2007-13, Observatoire Francais des Conjonctures Economiques (OFCE).
    9. 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.
    10. Yicong Lin & Hanno Reuvers, 2019. "Efficient Estimation by Fully Modified GLS with an Application to the Environmental Kuznets Curve," Papers 1908.02552, arXiv.org, revised Aug 2020.
    11. Fan, Yanqin & Gençay, Ramazan, 2010. "Unit Root Tests With Wavelets," Econometric Theory, Cambridge University Press, vol. 26(5), pages 1305-1331, October.
    12. Federico Di Pace & Matthias Hertweck, 2019. "Labor Market Frictions, Monetary Policy, and Durable Goods," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 32, pages 274-304, April.
    13. Bajo-Rubio, Oscar & Díaz-Roldán, Carmen & Esteve, Vicente, 2014. "Deficit sustainability, and monetary versus fiscal dominance: The case of Spain, 1850–2000," Journal of Policy Modeling, Elsevier, vol. 36(5), pages 924-937.
    14. van Amano, Robert A & Norden, Simon, 1998. "Exchange Rates and Oil Prices," Review of International Economics, Wiley Blackwell, vol. 6(4), pages 683-694, November.
    15. Camgöz, Mevlüt & Topal, Mehmet Hanefi, 2022. "Identifying the asymmetric price dynamics of Islamic equities: Implications for international investors," Research in International Business and Finance, Elsevier, vol. 60(C).
    16. Lloyd, S. P., 2017. "Unconventional Monetary Policy and the Interest Rate Channel: Signalling and Portfolio Rebalancing," Cambridge Working Papers in Economics 1735, Faculty of Economics, University of Cambridge.
    17. repec:hal:wpspec:info:hdl:2441/2525 is not listed on IDEAS
    18. Yang, Chao & Lee, Lung-fei, 2018. "Strategical interactions on municipal public safety spending with correlated private information," Regional Science and Urban Economics, Elsevier, vol. 72(C), pages 86-102.
    19. Zeynel Abidin Ozdemir, 2010. "Dynamics Of Inflation, Output Growth And Their Uncertainty In The Uk: An Empirical Analysis," Manchester School, University of Manchester, vol. 78(6), pages 511-537, December.
    20. Davide Brignone & Alessandro Franconi & Marco Mazzali, 2023. "Robust Impulse Responses using External Instruments: the Role of Information," Papers 2307.06145, arXiv.org.
    21. Keen Meng Choy & Hwee Kwan Chow, 2004. "Forecasting the Global Electronics Cycle with Leading Indicators: A VAR Approach," Econometric Society 2004 Australasian Meetings 223, Econometric Society.

    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:fip:fedreq:y:2011:i:1q:p:45-66:n:v.97no.1. 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: Christian Pascasio (email available below). General contact details of provider: https://edirc.repec.org/data/frbrius.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.