Shortcuts
 
PageMenu- Hauptmenü-
Page content

Kategorienanzeige

MAB

¬The¬ Econometric analysis of non-stationary spatial panel data
Kategorie Beschreibung
036aXA-DE
037beng
077a1046217062 Erscheint auch als (Druck-Ausgabe): ‡Beenstock, Michael, 1946 - : Econometric analysis of non-stationary spatial panel data
087q978-3-030-03613-3
100 Beenstock, Michael ¬[VerfasserIn]¬
104aFelsenstein, Daniel ¬[VerfasserIn]¬
331 ¬The¬ Econometric analysis of non-stationary spatial panel data
410 Cham
412 Springer
425 2019
425a2019
433 1 Online-Ressource (IX, 275 Seiten) : 45 Illustrationen, 40 Illustrationen (farbig)
451bAdvances in spatial science
527 Erscheint auch als (Druck-Ausgabe)ISBN: 978-3-030-03613-3
527 Erscheint auch als (Druck-Ausgabe): ‡Beenstock, Michael, 1946 - : Econometric analysis of non-stationary spatial panel data
540aISBN 978-3-030-03614-0
700 |KCH
700 |*62-02
700 |62P20
700 |62M10
700 |62M30
700 |62M07
700 |KCH
700 |BUS021000
700b|330.015195
700c|HB139-141
750 1 Space and Time are Inextricably Interwoven -- 2 Time Series for Spatial Econometricians -- 3 Spatial Data Analysis and Econometrics -- 4 The Spatial Conectivity Matrix -- 5 Unit Root and Cointegration Tests in Spatial Cross-Section Data -- 6 Spatial Vector Autoregressions -- 7 Unit Root and Cointegration Tests for Spatially Dependent Panel Data -- 8 Cointegration in Non-Stationary Panel Data -- 9 Spatial Vector Error Correction -- 10 Strong and Weak Cross-Section Dependence in Non-Stationary Spatial Panel Data
753 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
902s 091402107 Zeitreihenanalyse
907s 799323594 Stationarität
912s 091382181 Panel
917s 091396328 Einheitswurzeltest
922s 09137104X Kointegration
927s 091396956 VAR-Modell
012 1666745707
081 ¬The¬ Econometric Analysis of Non-Stationary Spatial Panel Data
100 Springer E-Book
125aElektronischer Volltext - Campuslizenz
655e$uhttps://doi.org/10.1007/978-3-030-03614-0
Schnellsuche