Monetary policy and housing sector dynamics in a large-scale Bayesian vector autoregressive model
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Date
Authors
Gupta, Rangan
Jurgilas, Marius
Kabundi, Alain
Miller, Stephen M.
Journal Title
Journal ISSN
Volume Title
Publisher
Taylor & Francis
Abstract
Our paper considers the 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 autoregressive 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 findings in
the sense that the response patterns in the South most closely match the response patterns in the
nation as a whole. The West’s responses differ the most from the other regions, especially for the
impulse responses of housing starts and permits.
Description
Keywords
Monetary policy, Housing sector dynamics, Large-Scale BVAR models
Sustainable Development Goals
Citation
Rangan Gupta, Marius Jurgilas, Alain Kabundi & Stephen M. Miller (2012): Monetary policy and housing sector dynamics in a large-scale Bayesian vector autoregressive model', International Journal of Strategic Property Management, 16:1, 1-20.