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The Econometric Analysis of Non-Stationary Spatial Panel Data
Hardcover
Series: Advances in Spatial Science
ISBN13: 9783030036133
Publisher: Springer Nature
Published: Apr 8 2019
Pages: 275
Weight: 1.28
Height: 0.69 Width: 6.14 Depth: 9.21
Language: English
This monograph deals with spatially dependent nonstationary time series in a way accessible to both time series econometricians wanting to understand spatial econometics, and spatial econometricians lacking a grounding in time series analysis. After charting key concepts in both time series and spatial econometrics, the book discusses how the spatial connectivity matrix can be estimated using spatial panel data instead of assuming it to be exogenously fixed. This is followed by a discussion of spatial nonstationarity in spatial cross-section data, and a full exposition of non-stationarity in both single and multi-equation contexts, including the estimation and simulation of spatial vector autoregression (VAR) models and spatial error correction (ECM) models.
The volume concludes with a discussion of incorporating strong and weak spatial dependence in non-stationary panel data models. All discussions are accompanied by empirical testing based on a spatial panel data of house prices in Israel.
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