Repeat Sales House Price Index Methodology

2014 ◽  
Author(s):  
Chaitra H Nagaraja ◽  
Lawrence D. Brown ◽  
Susan M. Wachter
Keyword(s):  
Price Index ◽  
House Price ◽  
Repeat Sales ◽  
House Price Index

scholarly journals Developing a House Price Index for The Netherlands: A Practical Application of Weighted Repeat Sales

2007 ◽  
Vol 37 (2) ◽  
pp. 163-186 ◽  
Author(s):  
S. J. T. Jansen ◽  
P. de Vries ◽  
H. C. C. H. Coolen ◽  
C. J. M. Lamain ◽  
P. J. Boelhouwer
Keyword(s):  
The Netherlands ◽  
Price Index ◽  
House Price ◽  
Repeat Sales ◽  
Practical Application ◽  
House Price Index

Repeat Sales House Price Index Methodology

2014 ◽  
Vol 22 (1) ◽  
pp. 23-46
Author(s):  
Chaitra Nagaraja ◽  
Lawrence Brown ◽  
Susan Wachter
Keyword(s):  
Price Index ◽  
House Price ◽  
Repeat Sales ◽  
House Price Index

A New Dynamic House-Price Index

2019 ◽  
Author(s):  
Richard H. Stanton ◽  
Chris Strickland ◽  
Nancy E. Wallace
Keyword(s):  
Price Index ◽  
House Price ◽  
House Price Index

WHAT DRIVES HOUSE PRICE IN MALAYSIA? IN SEARCH OF AN ALTERNATIVE PRICING BENCHMARK FOR ISLAMIC HOME FINANCING

2017 ◽  
Vol 15 (4) ◽  
Author(s):  
Salina Hj Kassim ◽  
Nur Harena Redzuan ◽  
Nor Zalina Harun
Keyword(s):  
Interest Rate ◽  
Price Index ◽  
House Price ◽  
Holistic Approach ◽  
Housing Demand ◽  
House Price Index ◽  
Distributed Lag ◽  
Market Interest Rate ◽  
Auto Regressive ◽  
Conventional Banks

The current practise of the Islamic banks to rely on market interest rate as pricing benchmark for their home financing products has been a subject of intense debate among many parties. Muslim scholars have warned that it is highly discouraged as it could lead to a possible convergence between the practices of the Islamic and conventional banks. This paper intends to address the financing issues in the discussion of human settlement or housing policy by presenting the determinants for house price index as well as looking into the possibility of adopting the House Price Index (HPI) to replace the market interest rate as a pricing benchmark for the Islamic home financing. The study applies Auto-Regressive Distributed Lag (ARDL) method on a model comprising HPI as the dependent variable and a set of independent variables consisting of economic, housing demand and housing supply factors. The findings lead to the formulation of recommendations as a way forward for the Islamic banking industry in particular, and the economy in general. This will require a paradigm shift from basic financing products to a more holistic approach which integrates supply of housing factors, as well as urban planning and urban finance, with human rights and recognizes the need to place and shelter people.

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