The regional impact of monetary policy on house prices Online publication date: Fri, 12-Dec-2014
by Larry Allen; George N. Kenyon; Vivek S. Natarajan
International Journal of Business Innovation and Research (IJBIR), Vol. 6, No. 4, 2012
Abstract: This paper examines how house prices respond to monetary policy in the nine census regions of the USA. A polynomial distributed lag regression model is estimated for each region. The dependent variable in each equation includes growth for the index of regional house prices. The independent variables include: (1) growth for an index of national house prices; (2) difference between the regional unemployment rate and the national unemployment; (3) the growth in M2. The money stock variable enters each equation as a polynomial distributed lag. Given this specification, regional house prices are positively correlated with money stock growth in some regions, and negatively correlated in others.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Business Innovation and Research (IJBIR):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email subs@inderscience.com