Labour market forecasting in Germany: is disaggregation useful?

This paper examines whether labour market forecasts can be improved by using disaggregated information. We construct vector-autoregressive models for employment by sector in order to produce out-of-sample forecasts of aggregate employment. Forecast accuracy is compared to univariate models by using Clark/West tests. In an application to German data, it is evident that disaggregation significantly improves the employment forecast. Moreover, using fluctuation-window tests we find that disaggregation yields superior results especially in phases with strong and sustained employment changes.     

LOCAL LABOR MARKETS AND NATURAL RESOURCES: A SYNTHESIS OF THE LITERATURE

A primary way that natural resources affect a locality is through the demand for labor, with greater extraction requiring more workers. Shifts in labor demand can be measured through changes in employment and earnings, the main labor market outcomes, or through changes in the population and income, more generally. These changes may spillover into the nonresource economy, leading to greater overall effects or possibly crowd out; be spread unequally across the population, thereby altering the distribution of income and the poverty rate; or influence educational attainment, as people choose between additional schooling and work. In this review, the literature linking natural resources to local labor markets is synthesized by organizing existing studies according to their resource measurement and the outcomes that they consider. This synthesis provides an accessible guide to a literature that has boomed in recent years. It also identifies promising avenues for future research and lays a foundation to further generalize the evidence through an eventual meta‐analysis.