Arbeitspapier

The importance of spatial autocorrelation for regional employment growth in Germany

In analyzing the disparities of the regional developments in the volume of employment in Germany, in the recent empirical literature so called shift-share-regression-models are frequently applied. However, these models usually neglect spatial interdependencies, even though such interdependencies are likely to occur on a regional level. Therefore, this paper focuses on the importance of spatial dependencies using spatial autocorrelation in order to analyze regional employment development. Spatial dependency in the form of spatial lag, spatial error and cross regressive model are compared. The results indicate that the exogenous variables' spatial lag sufficiently explains the spatial autocorrelation of regional employment growth.

Sprache
Englisch

Erschienen in
Series: MAGKS Joint Discussion Paper Series in Economics ; No. 31-2010

Klassifikation
Wirtschaft
Single Equation Models; Single Variables: Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions
Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity
Regional Economic Activity: Growth, Development, Environmental Issues, and Changes
Urban, Rural, Regional, Real Estate, and Transportation Economics: Regional Migration; Regional Labor Markets; Population; Neighborhood Characteristics
Thema
spatial interdependency
spatial autocorrelation
shift-share-regression
regional employment growth
Regionaler Arbeitsmarkt
Beschäftigung
Räumliche Interaktion
Autokorrelation
Shift-Share-Analyse
Schätzung
Deutschland

Ereignis
Geistige Schöpfung
(wer)
Zierahn, Ulrich
Ereignis
Veröffentlichung
(wer)
Philipps-University Marburg, Faculty of Business Administration and Economics
(wo)
Marburg
(wann)
2010

Handle
Letzte Aktualisierung
10.03.2025, 11:45 MEZ

Datenpartner

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Objekttyp

  • Arbeitspapier

Beteiligte

  • Zierahn, Ulrich
  • Philipps-University Marburg, Faculty of Business Administration and Economics

Entstanden

  • 2010

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