Die Bundesregierung hat die Förderung von Beschäfti- gung mit niedrigen Bruttoarbeitsentgelten (Midijobs) zum 1. Januar 2023 ausgeweitet und die Verdienstobergrenze auf 2 000 Euro brutto monatlich angehoben. Rund 6,2 Millionen Menschen mit einem Midijob profitieren von reduzierten...

In der aktuellen Reformdiskussion stehen Steuer- und Abgabenentlastungen für geringe und mittlere Einkommen im Fokus. Berechnungen des DIW Berlin zeigen, wie sich verschiedene Entlastungskonzepte auswirken. So entlastet ein Grundfreibetrag für Sozialbeiträge alle Einkommensgruppen, wobei...

Angesichts demografiebedingt steigender Ausgaben in der Rentenversicherung wird verstärkt über Einsparpotenziale diskutiert. Dabei wird unter anderem vorgeschlagen, die vor zehn Jahren eingeführte Mütterrente wieder abzuschaffen. Allerdings hätte eine Streichung dieser Rentenzuschüsse für...

In this paper, a set of neural network (NN) models is developed to compute short-term forecasts of regional employment patterns in Germany. NNs are modern statistical tools based on learning algorithms that are able to process large amounts of data. NNs are enjoying increasing interest in...

This paper investigates patterns of manufacturing location in the context of increased economic integration in Central and East European countries. Using regional data for the period 1990-1999, we identify and compare patterns and determinants of manufacturing location in five European Union...

There is an increasing awareness of the potential of nonlinear modeling in regional science, which can partly be explained by the recognition of the limitations of conventional equilibrium models in complex situations and partly by the easy availability and accessibility of sophisticated...

Unemployment rates appear to vary widely at a subregional (e.g., local or provincial) level. Using spatial econometric models for spatial autocorrelation, this paper focuses attention on the spatial structure of regional unemployment disparities of Italian provinces. On the basis of findings...

In this paper, a set of neural network (NN) models is developed to compute short-term forecasts of regional employment patterns in Germany. NNs are modern statistical tools based on learning algorithms that are able to process large amounts of data. NNs are enjoying increasing interest in...

Unemployment rates appear to vary widely at a subregional (e.g., local or provincial) level. Using spatial econometric models for spatial autocorrelation, this paper focuses attention on the spatial structure of regional unemployment disparities of Italian provinces. On the basis of findings...

This paper aims to investigate whether the spatial pattern of creative industries in the Netherlands has a relationship with the presence of cultural heritage or, in a more general sense, cultural capital. It first shows how the creative sector developed between 1994 – 2009 in relation to...