Florian Dorn erstellte diesen Beitrag während seines Promotionsstudiums an der Universität München (LMU). Die Studie wurde im September 2020 abgeschlossen und von der Fakultät für Volkswirtschaftslehre als Dissertation angenommen. Die Dissertation trägt zur Empirie der Ökonomie des...

The identification of average causal effects of a treatment in observational studies is typically based either on the unconfoundedness assumption or on the availability of an instrument. When available, instruments may also be used to test for the unconfoundedness assumption (exogeneity of the...

Exchange market pressure (EMP) measures the pressure on a currencyto depreciate. It adds to the actual depreciation a weightedcombination of policy instruments used to ward off depreciation,such as interest rates and foreign exchange interventions, where theweights are their effectiveness. The...

A class of adaptive sampling methods is introduced for efficient posterior and predictive simulation. The proposed methods are robust in the sense that they can handle target distributions that exhibit non-elliptical shapes such as multimodality and skewness. The basic method makes use of...

We discuss Bayesian inferential procedures within the family of instrumental variables regression models and focus on two issues: existence conditions for posterior moments of the parameters of interest under a flat prior and the potential of Direct Monte Carlo (DMC) approaches for efficient...

We consider the problem of measuring transition probabilities across employment, unemployment and inactivity when longitudinal data is not available and/or the available retrospective data is measured with error. We establish nonparametric point-identification conditions based on time series of...

Full paper available at "https://ssrn.com/abstract=3141041" https://ssrn.com/abstract=3141041We first present simulations investigating some properties of the Inverse Product Differentiation Logit (IPDL) model. Next, we provide a range of general methods for building Generalized Logit (GL)...

The main attraction of Regression Discontinuity (RD) is local randomization around the cutoff. However, often the running variable (or just ''score'') is manipulated to ruin the local randomization. To detect manipulation, typically, the continuity at the cutoff of the score density function is...

I develop the flexible inverse logit (FIL) model, which is a structural inverse demand model which is able to describe the behavior of heterogeneous, utility-maximizing consumers choosing from a choice set of (possibly many) products that are differentiated in a way that is both observed and...