Statistical Methods for Estimating House Price IndexAshish Garg*
Masters in Financial Engineering - UCLA, PhD - Philadelphia University, USA
- *Corresponding Author:
- Ashish Garg
Masters in Financial Engineering - UCLA
PhD - Philadelphia University, USA
Tel: (310) 954-6922
E-mail: [email protected]
Received Date: December 16, 2016 Accepted Date: December 26, 2016 Published Date: December 30, 2016
Citation: Garg A (2016) Statistical Methods for Estimating House Price Index. J Bus Fin Aff 5: 231. doi: 10.4172/2167-0234.1000231
Copyright: © 2016 Garg A. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
House Price Index (HPI) is the key barometer of house prices measured from the aggregated house sales transactions data. HPI provides summary of the housing market that is used to track the movement in the house prices through time and analyze the performance of housing market. It is one of the most closely monitored economic indicators in the United States. In US, HPIs are estimated and published at various levels of geographic region including US census divisions, states, Metropolitan Statistical Area (MSA), Core Based Statistical Area (CBSA), zip code. The most popular indices published in US are FHFA HPI, Standard & Poor’s Case-Shiller Indices, Nahb.