Documents Kosfeld, Reinhold 3 results

"The wage curve introduced by Blanchflower and Oswald (1990, 1994) postulates a negative correlation between wages and unemployment. Empirical results focus on particular theoretical channels establishing the relationship. Panel models mostly draw on unionized bargaining or the efficiency wage hypothesis. Spatial econometric approaches can be rationalized by monopsonistic competition. However, the approaches either ignore the issue of nonstationarity or treat the data as if it were nonspatial. In this paper, we adopt a global cointegration approach recently proposed by Bienstock and Felsenstein (2010) to account for nonstationarity of regional data. By specifying a spatial error correction model (SpECM), equilibrium adjustments are considered in both space and time. Applying the methodology for West German labour markets, we find strong evidence for the existence of a long-run wage curve with spatial effects."

"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."

"This paper studies the labor market effects of non-pharmaceutical interventions (NPIs) to combat the Covid-19 pandemic. We focus on the Nordic countries which showed one of the highest variations in NPIs despite having similar community spread of Covid-19 at the onset of the pandemic: While Denmark, Finland and Norway imposed strict measures (‘lockdowns'), Sweden decided for much lighter restrictions. Empirically, we use novel administrative data on weekly new unemployment and furlough spells from all 56 regions of the Nordic countries to compare the labor market outcomes of Sweden with the ones of its neighbors. Our evidence suggests that the labor markets of all countries were severely hit by the pandemic, although Sweden performed slightly better than its neighbors. Specifically, we find the worsening of the Swedish labor market to occur around 2 to 3 weeks later than in the other Nordic countries, and that its cumulative sum of new unemployment and furlough spells remained significantly lower during the time period of our study (up to week 21 of 2020)."