We develop an operational model of information contagion and show how it may be integrated into a mainstream, top-down, stress-testing framework to quantify systemic risk. The key transmission mechanism is a two-way interaction between the beliefs of secondary market investors and the...

We present a laboratory experiment on the impact of price framing on consumer decision making. Consumer subjects face a search market where two sellers offer a homogenous good. We examine six different price frames with linear per-unit pricing (that is displayed as such) serving as a benchmark....

We conduct a series of Cournot duopoly market experiments with a high number of repetitions and fixed matching. Our treatments include markets with (a) complete cost symmetry and complete information, (b) slight cost asymmetry and complete information, and (c) varying cost asymmetries and...

This paper explores the extent to which interest risk exposure is priced in bank margins. Our contribution to the literature is twofold: First, we present an extended model of Ho and Saunders (1981) that explicitly captures interest rate risk and returns from maturity transformation. Banks price...

Overbidding in auctions has been attributed to e.g. risk aversion, loser regret, level-k, and cursedness, relying on varying identifying assumptions. I argue that "type projection" organizes these findings and largely captures observed behavior. Type projection formally models that people tend...

Life insurers typically grant policyholders a surrender option. We demonstrate that the resulting lapse risk could materialise in the form of a "policyholder run" if interest rates were to increase sharply. An inverse stress test based on a unique set of regulatory panel data suggests that...

This study provides evidence on how German multinational firms have restructured their service activities around the recent crisis. Making use of new micro-level data on service imports of German multinationals from 2002-2008, we assess the determinants of service offshoring along the extensive...

This paper considers estimation methods and inference for linear dynamic panel data models with unit-specific heterogeneity and a short time dimension. In particular, we focus on the identification of the coefficients of time-invariant variables in a dynamic version of the Hausman and Taylor...

We propose a Bayesian approach to dynamic panel estimation in the presence of cross-sectional dependence and dynamic heterogeneity which is suitable for inference in short panels, unlike alternative estimators. Monte Carlo simulations indicate that our estimator produces less bias, and a lower...