Statistiques spatiales et étude immobilière
- Batsch, Laurent
Geostatistics and spatial econometrics are two spatial statistical approaches used to deal with spatial dependence. Geostatistics estimates directly the variance-covariance matrix by assuming that the covariance among observations depends inversely on the distance between their locations, called the covariogram. Spatial econometrics defines and integrates the spatial interaction matrix in a hedonic regression model. In real estate, price estimation should take into account these spatial characteristics because property prices are correlated. Hence, these two approaches are commonly used to study the spatial dependence of the real estate prices in many contexts. However, a definite rule in selection these statistic approaches has not been established. This thesis examined these two approaches in order to distinguish the similarities, differences, advantages, and disadvantages of each methodology. Some examples of their applications in a real estate study. The geostatistics is used to analyze the stationarity of the variogram and its sensitivity depending on the parameters added in hedonic estimation. The spatial econometric is used to define econometrically the real estate market dominant area.
|This book is provided by Paris Dauphine University in its series Economics Thesis from University Paris Dauphine with number 123456789/10864 and published in 2012.|
|Contact details of provider:|| Web page: http://www.dauphine.fr/en/welcome.html|
More information through EDIRC
Find related papers by JEL classification:
- R31 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - Housing Supply and Markets
References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Won Kim, Chong & Phipps, Tim T. & Anselin, Luc, 2003.
"Measuring the benefits of air quality improvement: a spatial hedonic approach,"
Journal of Environmental Economics and Management,
Elsevier, vol. 45(1), pages 24-39, January.
- Kim, Chong Won & Phipps, Tim T. & Anselin, Luc, 1998. "Measuring The Benefits Of Air Quality Improvement: A Spatial Hedonic Approach," 1998 Annual meeting, August 2-5, Salt Lake City, UT 20959, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
- Witte, Ann D & Sumka, Howard J & Erekson, Homer, 1979. "An Estimate of a Structural Hedonic Price Model of the Housing Market: An Application of Rosen's Theory of Implicit Markets," Econometrica, Econometric Society, vol. 47(5), pages 1151-73, September.
- Mats Wilhelmsson, 2000. "The Impact of Traffic Noise on the Values of Single-family Houses," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 43(6), pages 799-815.
When requesting a correction, please mention this item's handle: RePEc:dau:thesis:123456789/10864. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Alexandre Faure)
If references are entirely missing, you can add them using this form.
Follow series, journals, authors & more
New papers by email
Subscribe to new additions to RePEc
Public profiles for Economics researchers
Various rankings of research in Economics & related fields
Who was a student of whom, using RePEc
Curated articles & papers various economics topics
Upload your paper to be listed on RePEc and IDEAS
Blog aggregator for economics research
Cases of plagiarism in Economics
Job Market Papers
RePEc working paper series dedicated to the job market
Pretend you are at the helm of an economics department
Services from the StL Fed
Data, research, apps & more from the St. Louis Fed