Monetary Policy, Construction Sector Output and Housing Prices in India: An Emerging Economy Perspective
AbstractThe study examines the impact of monetary policy along with relevant macro economic factors on the construction sector activities? growth and housing prices in Indian context. The empirical result indicates that it is mainly commercial bank credit from supply side and rise in income in demand side have positive influences on the construction sector growth. Nevertheless, it observes a dominance of demand side over supply side factor contributing to shortages of housing. While examining the factors influencing housing prices, it finds overall inflation rate puts upward pressure and money supply puts downward pressure. This may be due to the fact that bank credit is operating from a supply side enabling increased supply of housing and thereby lowering the housing prices.
Download InfoIf 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.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
Bibliographic InfoArticle provided by Euro-American Association of Economic Development in its journal Applied Econometrics and International Development.
Volume (Year): 11 (2011)
Issue (Month): 1 ()
Contact details of provider:
Web page: http://www.usc.es/economet/eaa.htm
Find related papers by JEL classification:
- E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
- E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
- C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models
You can help add them by filling out this form.
reading list or among the top items on IDEAS.Access and download statistics
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (M. Carmen Guisan).
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.