The biggest myth in spatial econometrics

Artikel

There is near universal agreement that estimates and inferences from spatial regression models are sensitive to particular specifications used for the spatial weight structure in these models. We find little theoretical basis for this commonly held belief, if estimates and inferences are based on the true partial derivatives for a well-specified spatial regression model. We conclude that this myth may have arisen from past applied work that incorrectly interpreted the model coefficients as if they were partial derivatives, or from use of misspecified models.

Object Details

• Language: Englisch

References and Relationships

• Bibliographic citation: Journal: Econometrics ; ISSN: 2225-1146 ; Volume: 2 ; Year: 2014 ; Issue: 4 ; Pages: 217-249 ; Basel: MDPI

Classification and Topics

• Classification: Wirtschaft ; Methodological Issues: General ; Single Equation Models; Single Variables: Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions
• Subject: indirect effects ; spatial regression estimates ; sensitivity to spatial weights

Contributors, Places and Time

• Event: Geistige Schöpfung
• (who): LeSage, James P. ; Pace, R. Kelley
• Event: Veröffentlichung
• (who): MDPI
• (where): Basel
• (when): 2014

Further information

• DOI: doi:10.3390/econometrics2040217
• Handle: http://hdl.handle.net/10419/171814
• Last update: 10.03.2025, 11:42 AM CET