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

Listed author(s):
  • 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.

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File URL: http://www.uni-hamburg.de/fachbereiche-einrichtungen/fb03/iwwt/makro/paetz2010.pdf
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Paper provided by Hamburg University, Department of Economics in its series Quantitative Macroeconomics Working Papers with number 21011.

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Date of creation: Nov 2010
Handle: RePEc:ham:qmwops:21011
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  1. 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.
  2. 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.
  3. Michael B. Devereux & Philip R. Lane & Juanyi Xu, 2006. "Exchange Rates and Monetary Policy in Emerging Market Economies," Economic Journal, Royal Economic Society, vol. 116(511), pages 478-506, 04.
  4. 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.
  5. Galí, Jordi & Gertler, Mark, 1999. "Inflation Dynamics: A Structural Economic Analysis," CEPR Discussion Papers 2246, C.E.P.R. Discussion Papers.
  6. Jordi Galí & Tommaso Monacelli, 2005. "Monetary Policy and Exchange Rate Volatility in a Small Open Economy," Review of Economic Studies, Oxford University Press, vol. 72(3), pages 707-734.
  7. 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.
  8. Gali, Jordi & Gertler, Mark, 1999. "Inflation dynamics: A structural econometric analysis," Journal of Monetary Economics, Elsevier, vol. 44(2), pages 195-222, October.
  9. 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.
  10. Frank Smets & Rafael Wouters, 2007. "Shocks and Frictions in US Business Cycles: A Bayesian DSGE Approach," American Economic Review, American Economic Association, vol. 97(3), pages 586-606, June.
  11. Yu-Fu Chen & Michael Funke, 2010. "Booms, Recessions And Financial Turmoil: A Fresh Look At Investment Decisions Under Cyclical Uncertainty," Scottish Journal of Political Economy, Scottish Economic Society, vol. 57(s1), pages 290-317, 07.
  12. 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.
  13. 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.
  14. Ernest Pytlarczyk, 2005. "An Estimated DSGE Model for The German Economy," Computing in Economics and Finance 2005 318, Society for Computational Economics.
  15. 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.
  16. 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.
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