This paper examines house price index methodology and explores what makes an index both practical and representative. Two approaches are investigated: predictive ability (quantitative) and index structure (qualitative). Five indices are analyzed, four of which are repeat sales indices in the traditional sense and an autoregressive index which makes use of the repeat sales idea but includes single sales as well. The autoregressive index has the best predictive performance
In this article, we describe a house price index algorithm which requires only sparse and frugal dat...
Property has the particularity of being a non-homogeneous good, and based on this, it is necessary t...
Purpose – A useful instrument to understand and examine the inner workings of the property trade is...
This paper examines house price index methodology and explores what makes an index both practical an...
Weighted repeat sales house price indices have become one of the primary indicators used to identify...
This paper compares housing price indices estimated using three models with several sets of property...
A statistical model for predicting individual house prices and constructing a house price index is p...
Accurate measurements of house prices are important for a number of reasons. Housing is usually the ...
This paper describes the development of a house price index that has been introduced in May 2005 in ...
AbstractI suggest a series of rules in this paper which made Repeat Sales Model available in measuri...
Research background: There are several methods to construct a price index for infrequently traded re...
Repeat sales techniques are a common approach for modeling house prices. This methodology presumes t...
This paper develops a new methodology for constructing a real estate price index that utilizes all t...
Current methods for constructing house price indices are based on comparisons of sale prices of resi...
Do house price indices behave differently depending on their estimation methods? If so, to what exte...
In this article, we describe a house price index algorithm which requires only sparse and frugal dat...
Property has the particularity of being a non-homogeneous good, and based on this, it is necessary t...
Purpose – A useful instrument to understand and examine the inner workings of the property trade is...
This paper examines house price index methodology and explores what makes an index both practical an...
Weighted repeat sales house price indices have become one of the primary indicators used to identify...
This paper compares housing price indices estimated using three models with several sets of property...
A statistical model for predicting individual house prices and constructing a house price index is p...
Accurate measurements of house prices are important for a number of reasons. Housing is usually the ...
This paper describes the development of a house price index that has been introduced in May 2005 in ...
AbstractI suggest a series of rules in this paper which made Repeat Sales Model available in measuri...
Research background: There are several methods to construct a price index for infrequently traded re...
Repeat sales techniques are a common approach for modeling house prices. This methodology presumes t...
This paper develops a new methodology for constructing a real estate price index that utilizes all t...
Current methods for constructing house price indices are based on comparisons of sale prices of resi...
Do house price indices behave differently depending on their estimation methods? If so, to what exte...
In this article, we describe a house price index algorithm which requires only sparse and frugal dat...
Property has the particularity of being a non-homogeneous good, and based on this, it is necessary t...
Purpose – A useful instrument to understand and examine the inner workings of the property trade is...