Towards an East German Wage Curve - NUTS Boundaries, Labour Market Regions and Unemployment Spillovers

Reinhold Kosfeld () and Christian Dreger

No 1675, Discussion Papers of DIW Berlin from DIW Berlin, German Institute for Economic Research

Abstract: The relevance of spatial effects in the wage curve can be rationalized by the model of monopsonistic competition in regional labour markets. However, distortions in extracting the regional unemployment effects arise in standard regional (i.e. NUTS) classifications as they fail to adequately capture spatial processes. In addition, the nonstationarity of wages and unemployment is often ignored. Both issues are particularly important in high unemployment regimes like East Germany where a wage curve is difficult to establish. In this paper, labour market regions defined by economic criteria are used to examine the existence of an East German wage curve. Due to the nonstationarity of spatial data, a global panel cointegration approach is adopted. By specifying a spatial error correction model (SpECM), equilibrium adjustments are investigated in time and space. The analysis gives evidence on a locally but not a spatially cointegrated wage curve for East Germany.

Keywords: Wage curve; labour market regions; global cointegration; spatial error-correction model (search for similar items in EconPapers)
JEL-codes: C33 J30 J60 R15 (search for similar items in EconPapers)
Pages: 30 p.
Date: 2017
New Economics Papers: this item is included in nep-eur, nep-geo and nep-ure
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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Related works:
Journal Article: Towards an East German wage curve - NUTS boundaries, labour market regions and unemployment spillovers (2019)
Working Paper: Towards an East German Wage Curve: NUTS Boundaries, Labour Market Regions and Unemployment Spillovers (2017)
Working Paper: Towards an East German wage curve - NUTS boundaries, labour market regions and unemployment spillovers (2017)
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