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....

This paper aims at formulating econometric tools for investigating stochastic rationality, using the Random Utility Models (RUM) to deal with unobserved heterogeneity nonparametrically. Theoretical implications of the RUM have been studied in the literature, and in particular this paper utilizes...

We propose a new monetary policy surprise measure based on cojumps in tick-data of a short and long term interest rate. We extend a recently proposed test for cojumps to distinguish policy announcements that shift the short and long end of the yield curve in the same direction (level shift) and...

We propose a novel semiparametric method to extract location values from house prices. After splitting house prices into building and land components, location values are estimated with adaptive weight smoothing. The adaptive estimator requires neither strong smoothness assumptions nor local...

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...