IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Log in (now much improved!) to save this paper

What can an open-economy DSGE model tell us about Hong Kong’s housing market?

  • Michael Funke

    ()

  • Michael Paetz

    ()

This paper develops an open-economy DSGE model with a housing-market sector and a borrowing constraint. Contrary to standard conventions, domestic households are allowed to invest in foreign housing and vice versa. Using Bayesian methods, the model is applied to data for Hong Kong. The results show that Hong Kong’s housing market is quite open to foreign investment, and perhaps more significantly, that variations in the loan-to-value ratio and housing preference shocks largely explain business cycle volatility.

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://www.uni-hamburg.de/fachbereiche-einrichtungen/fb03/iwwt/makro/paetz2010.pdf
Download Restriction: no

Paper provided by Hamburg University, Department of Economics in its series Quantitative Macroeconomics Working Papers with number 21011.

as
in new window

Length:
Date of creation: Nov 2010
Date of revision:
Handle: RePEc:ham:qmwops:21011
Contact details of provider: Postal:
Von-Melle-Park 5 D-20146 Hamburg

Phone: : +49 (0)40 42838-4674
Fax: +49 (0)40 42838-5546
Web page: http://www.uni-hamburg.de/onTEAM/grafik/1223630633/RePec/ham

More information through EDIRC

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

as in new window
  1. Matteo Iacoviello & Raoul Minetti, 2002. "The Credit Channel of Monetary Policy: Evidence from the Housing Market," Boston College Working Papers in Economics 541, Boston College Department of Economics, revised 29 Aug 2003.
  2. Chen, Yu-Fu & Funke, Michael, 2009. "Booms, Recessions and Financial Turmoil: A Fresh Look at Investment Decisions under Cyclical Uncertainty," SIRE Discussion Papers 2009-31, Scottish Institute for Research in Economics (SIRE).
  3. Michael B. Devereux & Philip Lane, 2001. "Exchange Rates and Monetary Policy in Emerging Market Economies," CEG Working Papers 20017, Trinity College Dublin, Department of Economics.
  4. Matteo Iacoviello & Stefano Neri, 2008. "Housing market spillovers : evidence from an estimated DSGE model," Working Paper Research 145, National Bank of Belgium.
  5. Charles I. Jones, 2005. "The Shape of Production Functions and the Direction of Technical Change," The Quarterly Journal of Economics, Oxford University Press, vol. 120(2), pages 517-549.
  6. Smets, Frank & Wouters, Raf, 2007. "Shocks and frictions in US business cycles: a Bayesian DSGE approach," Working Paper Series 0722, European Central Bank.
  7. Funke, Michael & Paetz, Michael & Pytlarczyk, Ernest, 2011. "Stock market wealth effects in an estimated DSGE model for Hong Kong," Economic Modelling, Elsevier, vol. 28(1-2), pages 316-334, January.
  8. 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 0972, European Central Bank.
  9. Ho, Lok Sang & Wong, Gary Wai-chung, 2009. "The first step on the housing ladder: A natural experiment in Hong Kong," Journal of Housing Economics, Elsevier, vol. 18(1), pages 59-67, March.
  10. Jordi Galí & Tommaso Monacelli, 2003. "Monetary Policy and Exchange Rate Volatility in a Small Open Economy," Working Papers 11, Barcelona Graduate School of Economics.
  11. Alessandro Calza & Tommaso Monacelli & Livio Stracca, 2013. "Housing Finance And Monetary Policy," Journal of the European Economic Association, European Economic Association, vol. 11, pages 101-122, 01.
  12. Jordi Galí & Mark Gertler, 1998. "Inflation dynamics: A structural econometric analysis," Economics Working Papers 341, Department of Economics and Business, Universitat Pompeu Fabra.
  13. Ernest Pytlarczyk, 2005. "An Estimated DSGE Model for The German Economy," Computing in Economics and Finance 2005 318, Society for Computational Economics.
  14. Jie Gan, 2010. "Housing Wealth and Consumption Growth: Evidence from a Large Panel of Households," Review of Financial Studies, Society for Financial Studies, vol. 23(6), pages 2229-2267, June.
  15. Galí, Jordi & Gertler, Mark, 1999. "Inflation Dynamics: A Structural Economic Analysis," CEPR Discussion Papers 2246, C.E.P.R. Discussion Papers.
  16. Troy A. Davig & Craig S. Hakkio, 2010. "What is the effect of financial stress on economic activity," Economic Review, Federal Reserve Bank of Kansas City, issue Q II, pages 35-62.
Full references (including those not matched with items on IDEAS)

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

When requesting a correction, please mention this item's handle: RePEc:ham:qmwops:21011. 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: ()

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 references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link 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 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.

This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.