Space-Varying Regression Coefficients: A Semi-parametric Approach Applied to Real Estate Markets

By Andrey Pavlov. 2000

136 citations recorded by the source corpus.

Subfields: Economics and Econometrics

View Paper: https://www.semanticscholar.org/paper/aa3fae14ec1d3d763417e4850bfa22549b466a83

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Economics and Econometrics

1. Steven Farber
2. Bo Wu
3. Bo Huang
4. Pavel Propastin
5. Craig Watkins
6. M. Yeates
7. M. Barry
8. Daniel P. McMillen

Citations in the corpus

• A Semiparametric Method for Estimating Local House Price Indices (2004, unknown): “This paper is the first to apply the Robinson-Stock semiparametric model to space and time. However, local price indices can be calculated with the distance weighted repeat sales (DWRS) method of Goetzmann and Spiegel (1997) and Raman (2002), a parametric method, or with the STAR model of Pace et al”
• Spatial Autocorrelation Or Model Misspecification? (2003, background): “Applications in urban economics and real estate include Fu and Somerville (2001), McMillen (1996), McMillen and McDonald (1997), Meese and Wallace (1991, 1997), and Pavlov (2000).”
• The Definition and Identification of Housing Submarkets (2001, background): “Similarly, Pavlov (2000) reviews methods by which unobservable, neighbourhood-specific influences can be accommodated in house price models.”
• Spatial non-stationarity and scale-dependency of prediction accuracy in the remote estimation of LAI over a tropical rainforest in Sulawesi, Indonesia. (2009, methodology): “For example, the local regression techniques were effectively used to quantify spatial relationships between different variables in the field of human and economical geography (Brunsdon et al., 1996; Fotheringham et al., 2002; Fotheringham et al., 1996; McMillen, 1996; Pavlov, 2000), and climatology”
• Identifying Sub-centres Using Contiguity Matrices (2003, background): “Some applications include McMillen and McDonald (1997), Meese and Wallace (1991), Pavlov (2000) and Fu and Somerville (2001).”
• Geographically and temporally weighted regression for modeling spatio-temporal variation in house prices (2010, methodology): “Pavlov (2000), Fotheringham et al. (2002), and Yu (2006) have all applied the GWR or GWR-similar methodology to housing markets.”
• A Comparison of Localized Regression Models in a Hedonic House Price Context (2006, background): “Nevertheless, in spite of improvements to capturing neighbourhood variability, additional, and perhaps more interesting results might be achieved by moving from 'global' to local estimation (Pavlov 2000).”