Spatio-temporal dynamics in Swiss regional unemployment

Arbeitspapier

It is generally accepted that regional labor markets are characterized by strong interdependencies. However, only few studies include spatial elements to their estimations. Using the model framework proposed by Cliff and Ord (1973, 1981) and the estimation technique proposed by Kelejian and Prucha (1998), we estimate a spatial time series model for the Swiss cantonal unemployment rates on a quarterly level. Our model contains a spatial lag in the level and in the error term, as well as further exogenous explanatory variables. While both spatial lags turn out to be significant in our estimations, the dependency in the error term seems to be even stronger than the one in the level.

Object Details

• Language: Englisch

References and Relationships

• Bibliographic citation: Series: KOF Working Papers ; No. 274

Classification and Topics

• Classification: Wirtschaft ; Multiple or Simultaneous Equation Models: Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models ; Multiple or Simultaneous Equation Models: Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models ; Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity ; Regional Economic Activity: Growth, Development, Environmental Issues, and Changes
• Subject: Regional Unemployment ; Spatial Econometrics ; Switzerland ; Regionale Arbeitslosigkeit ; Zeitreihenanalyse ; Modell-Spezifikation ; Schätzung ; Teilstaat ; Schweiz

Contributors, Places and Time

• Event: Geistige Schöpfung
• (who): Schenker, Rolf ; Straub, Martin
• Event: Veröffentlichung
• (who): ETH Zurich, KOF Swiss Economic Institute
• (where): Zurich
• (when): 2011

Further information

• DOI: doi:10.3929/ethz-a-006353323
• Handle: http://hdl.handle.net/10419/50378
• Last update: 10.03.2025, 11:41 AM CET