Monetary Policy and Housing Sector Dynamics in a Large-Scale Bayesian Vector Autoregressive Mode
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.Download Info
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Paper provided by University of Nevada, Las Vegas , Department of Economics in its series Working Papers with number 0919.Length: 25 pages
Date of creation: Jun 2009
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Handle: RePEc:nlv:wpaper:0919
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Keywords: Monetary policy; Housing sector dynamics; Large-Scale BVAR mode;Other versions of this item:
- 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 and Francis Journals, vol. 16(1), pages 1-20, August.
- Rangan Gupta & Marius Jurgilas & Alain Kabundi & Stephen M. Miller, 2009. "Monetary Policy and Housing Sector Dynamics in a Large-Scale Bayesian Vector Autoregressive Model," Working Papers 200913, University of Pretoria, Department of Economics.
- Rangan Gupta & Marius Jurgilas & Alain Kabundi & Stephen M. Miller, 2009. "Monetary Policy and Housing Sector Dynamics in a Large-Scale Bayesian Vector Autoregressive Model," Working papers 2009-19, University of Connecticut, Department of Economics.
- C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models
- R31 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Production Analysis, and Firm Location - - - Housing Supply and Markets
This paper has been announced in the following NEP Reports:
- NEP-ALL-2009-06-10 (All new papers)
- NEP-CBA-2009-06-10 (Central Banking)
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Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.Cited by:
- Hideaki Hirata & M. Ayhan Kose & Christopher Otrok & Marco E.Terrones, 2012.
"Global House Price Fluctuations: Synchronization and Determinants,"
NBER Chapters,
in: NBER International Seminar on Macroeconomics 2012
National Bureau of Economic Research, Inc.
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"Fiscal Policy Shocks and the Dynamics of Asset Prices: The South African Experience,"
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1211, University of Nevada, Las Vegas , Department of Economics.
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201222, University of Pretoria, Department of Economics.
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