A median-based quantile estimator is less prone to the upward bias caused by unobserved renovations and missing “quality” variables when estimating appreciation rates using the repeat sales approach. As expected, the quantile estimator indicates lower appreciation rates for a sample of repeat sales of single-family homes in Chicago for 1993-2002. The quantile estimator is much less sensitive than the standard repeat sales estimator to the omission of observations for which building permits have been issued during this time. Thus, the quantile approach appears to be less prone to sample selection and missing-variable bias than the standard estimator.UnpublishedAlbrecht, James, Anders Bjorklund, and Susan Vroman, “Is There a Glass Ceiling in ...
I propose a nonparametric bounds approach for hedonic housing price models partially identified due ...
AbstractI suggest a series of rules in this paper which made Repeat Sales Model available in measuri...
This article develops a random effects quantile regression model for panel data that allows for incr...
This study develops a repeat sales price index using quantile regrssion. Quantile regression(QR) all...
This study develops a repeat sales price index using quantile regrssion. Quantile regression(QR) all...
Linear regression is a statistical tool used to model the relation between a set of housing characte...
This article studies quantile regression in an autoregressive dynamic framework with exogenous stati...
By nature, people's tastes and preferences are unique and diverse so that a constant coefficient of ...
OLS regression has typically been used in housing research to determine the relationship of a partic...
Weighted repeat sales house price indices have become one of the primary indicators used to identify...
Research background: There are several methods to construct a price index for infrequently traded re...
Quantile Regression Model (QRM), introduced by Koenker and Bassett in 1978, is a well-established an...
The purpose of this paper is to determine if the valuation of property adheres to the 33 1/3 proport...
This paper develops a framework for addressing the omitted variable bias that plagues most real esta...
This dissertation compares eight biased estimators as alternatives to Ordinary Least Squares estimat...
I propose a nonparametric bounds approach for hedonic housing price models partially identified due ...
AbstractI suggest a series of rules in this paper which made Repeat Sales Model available in measuri...
This article develops a random effects quantile regression model for panel data that allows for incr...
This study develops a repeat sales price index using quantile regrssion. Quantile regression(QR) all...
This study develops a repeat sales price index using quantile regrssion. Quantile regression(QR) all...
Linear regression is a statistical tool used to model the relation between a set of housing characte...
This article studies quantile regression in an autoregressive dynamic framework with exogenous stati...
By nature, people's tastes and preferences are unique and diverse so that a constant coefficient of ...
OLS regression has typically been used in housing research to determine the relationship of a partic...
Weighted repeat sales house price indices have become one of the primary indicators used to identify...
Research background: There are several methods to construct a price index for infrequently traded re...
Quantile Regression Model (QRM), introduced by Koenker and Bassett in 1978, is a well-established an...
The purpose of this paper is to determine if the valuation of property adheres to the 33 1/3 proport...
This paper develops a framework for addressing the omitted variable bias that plagues most real esta...
This dissertation compares eight biased estimators as alternatives to Ordinary Least Squares estimat...
I propose a nonparametric bounds approach for hedonic housing price models partially identified due ...
AbstractI suggest a series of rules in this paper which made Repeat Sales Model available in measuri...
This article develops a random effects quantile regression model for panel data that allows for incr...