Regional employment forecasts with spatial interdependencies
Katharina Hampel,
Marcus Kunz,
Norbert Schanne (),
Rüdiger Wapler and
Antje Weyh
Additional contact information
Rüdiger Wapler: Institute for Employment Research (IAB), Nuremberg, Germany
No 200702, IAB-Discussion Paper from Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany]
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." (Author's abstract, IAB-Doku) ((en))
Keywords: Bundesrepublik Deutschland; Beschäftigungsentwicklung; Methode; Prognoseverfahren; regionaler Arbeitsmarkt; Arbeitsmarktprognose (search for similar items in EconPapers)
JEL-codes: C53 J21 O18 (search for similar items in EconPapers)
Pages: 46 pages
Date: 2007
New Economics Papers: this item is included in nep-ecm, nep-for, nep-geo and nep-ure
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (7)
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https://doku.iab.de/discussionpapers/2007/dp0207.pdf
Related works:
Journal Article: Regional unemployment forecasts with spatial interdependencies (2010) 
Working Paper: Regional unemployment forecasts with spatial interdependencies (2008) 
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Persistent link: https://EconPapers.repec.org/RePEc:iab:iabdpa:200702
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