This study explores the reduction potential of greenhouse gases for major pollution emitting countries of the world using nonparametric productivity measurement methods and directional distance functions. In contrast to the existing literature we apply optimization methods to endogenously...

Climate change and energy consumption are at the forefront of current environmental debate. Whilst energy is essential to the functioning and survival of our societies, the environmental impact that energy consumption is having, particularly on climate change, is a growing concern and the design...

Following the critique of Pinkse & Slade (2010) and Gibbons & Overman (2012), we develop an instrument for the estimation of local price effects of cell phone base stations (CPBS) in an urban area. The instrument is derived from the spatial structure of the network and technical and regulatory...

Empirical studies analyzing the determinants of U.S. presidential popularity have delivered quite inconclusive results concerning the role of economic variables by assuming linear relationships. We employ penalized spline smoothing in the context of semi-parametric additive mixed models and...

Based on the seminal paper of Farrell (1957), researchers have developed several methods for measuring e fficiency. Nowadays, the most prominent representatives are nonparametric data envelopment analysis (DEA) and parametric stochastic frontier analysis (SFA), both introduced in the late 1970s....

Start-up subsidies for the unemployed have become an important part of Active Labor Market Policy (ALMP) in many countries. Previous evaluation results show pre-dominantly (very) positive results indicating that these programs are an effective way to increase employment probabilities and income...

A large and highly used number of treatment effects estimators rely on the unconfoundedness assumption ("selection on observables") which is fundamentally non testable. When evaluating the effects of labor market policies, researchers need to observe both variables that affect treatment...

We provide an overidentification test for a nonparametric treatment model where individuals are allowed to select into treatment based on unobserved gains. Our test can be used to test the validity of instruments in a framework with essential heterogeneity (Imbens and Angrist 1994). The...

We analyse the impact of retraining for the unemployed on future labour market success, and estimate effects separately for different target occupations. We use German registry data and apply statistical matching methods. The results show that on average, after a period with strong lock-in...