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http://hdl.handle.net/10419/31903
  
Title:Regional employment forecasts with spatial interdependencies PDF Logo
Authors:Hampel, Katharina
Kunz, Marcus
Schanne, Norbert
Wapler, Rüdiger
Weyh, Antje
Issue Date:2007
Series/Report no.:IAB discussion paper 2007,2
Abstract:The labour-market policy-mix in Germany is increasingly being decided on a regional level. This requires additional knowledge about the regional development which (disaggregated) national forecasts cannot provide. Therefore, we separately forecast employment for the 176 German labour- market districts on a monthly basis. We first compare the prediction accuracy of standard time-series methods: autoregressive integrated moving averages (ARIMA), exponentially weighted moving averages (EWMA) and the structural-components approach (SC) in these small spatial units. Second, we augment the SC model by including autoregressive elements (SCAR) in order to incorporate the influence of former periods of the dependent variable on its current value. Due to the importance of spatial interdependencies in small labour-market units, we further augment the basic SC model by lagged values of neighbouring districts in a spatial dynamic panel (SCSAR). The prediction accuracies of the models are compared using the mean absolute percentage forecast error (MAPFE) for the simulated out-of-sample forecast for 2005. Our results show that the SCSAR is superior to the SCAR and basic SC model. ARIMA and EWMA models perform slightly better than SCSAR in many of the German labour-market districts. This reflects that these two moving-average models can better capture the trend reversal beginning in some regions at the end of 2004. All our models have a high forecast quality with an average MAPFE lower than 2.2 percent.
Subjects:regionaler Arbeitsmarkt
Beschäftigungsentwicklung
Prognoseverfahren
Arbeitsmarktprognose - Methode
JEL:C53
J21
O18
Document Type:Working Paper
Appears in Collections:IAB-Discussion Paper, Institut für Arbeitsmarkt- und Berufsforschung (IAB)

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