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The Econometric Analysis of Non-Stationary Spatial Panel Data

  • Michael Beenstock
  • Daniel Felsenstein

Part of the Advances in Spatial Science book series (ADVSPATIAL)

Table of contents

  1. Front Matter
    Pages i-ix
  2. Michael Beenstock, Daniel Felsenstein
    Pages 1-20
  3. Michael Beenstock, Daniel Felsenstein
    Pages 21-47
  4. Michael Beenstock, Daniel Felsenstein
    Pages 49-69
  5. Michael Beenstock, Daniel Felsenstein
    Pages 71-96
  6. Michael Beenstock, Daniel Felsenstein
    Pages 97-127
  7. Michael Beenstock, Daniel Felsenstein
    Pages 129-161
  8. Michael Beenstock, Daniel Felsenstein
    Pages 163-196
  9. Michael Beenstock, Daniel Felsenstein
    Pages 197-232
  10. Michael Beenstock, Daniel Felsenstein
    Pages 233-250
  11. Michael Beenstock, Daniel Felsenstein
    Pages 251-275

About this book

Introduction

This monograph deals with spatially dependent non-stationary 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 non-stationarity 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 book reviews the literature on panel unit root tests and panel cointegration tests for spatially independent data, and for data that are strongly spatially dependent. It provides for the first time critical values for panel unit root tests and panel cointegration tests when the spatial panel data are weakly or spatially dependent. 
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.

 

Keywords

Spatial Econometrics Panel Data Non-Stationary Spatial Dependence Time Series Analysis Housing Prices Unit Root Tests

Authors and affiliations

  • Michael Beenstock
    • 1
  • Daniel Felsenstein
    • 2
  1. 1.Department of EconomicsHebrew University of JerusalemJerusalemIsrael
  2. 2.Department of GeographyHebrew University of JerusalemJerusalemIsrael

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-030-03614-0
  • Copyright Information Springer Nature Switzerland AG 2019
  • Publisher Name Springer, Cham
  • eBook Packages Economics and Finance
  • Print ISBN 978-3-030-03613-3
  • Online ISBN 978-3-030-03614-0
  • Series Print ISSN 1430-9602
  • Series Online ISSN 2197-9375
  • Buy this book on publisher's site