We use cross-country microdata to analyse the risk taking of households in Europe and the US. Concerning the extensive as well as the intensive margin of risky assets, European households differ substantially from US households; but also inside Europe we document substantial differences....

Inflation risk premiums tend to be positive in an economy mainly hit by supply shocks, and negative if demand shocks dominate. Risk premiums also fluctuate with risk aversion. We shed light on this nexus in a linear-quadratic equilibrium macrofinance model featuring time variation in...

How much of the heterogeneity in bank loan pricing is explained by disparities in banks' attitude towards risk? The answer to this question is not simple because there are only very weak proxies for gauging the degree of a bank's risk aversion. We handle this constraint by means of a novel...

This paper provides new insights on the effect of inheritance receipt on retirement. We build on lifelong information on inheritances received and labor market transitions available for respondents of the French Wealth Survey. This feature allows us to compare current retirement rates among...

This paper proposes a novel method for conducting policy analysis with potentially misspecified dynamic stochastic general equilibrium (DSGE) models and applies it to a New Keynesian DSGE model along the lines of Christiano, Eichenbaum, and Evans (JPE 2005) and Smets and Wouters (JEEA 2003)....

In this paper, I evaluate the performance deterioration that occurs when the central bank employs an optimal targeting rule that is based on incorrect parameter values. I focus on two parameters the degree of inflation inertia and the degree of price stickiness. I explicitly account for the...

This paper develops a rigorous econometric framework to investigate the structure of codependence between random variables and to test whether it changes over time. Our approach is based on the computation - over both a test and a benchmark period - of the conditional probability that a random...

We propose a new method for multivariate forecasting which combines Dynamic Factor and multivariate GARCH models. The information contained in large datasets is captured by few dynamic common factors, which we assume being conditionally heteroskedastic. After presenting the model, we propose a...

To forecast an aggregate, we propose adding disaggregate variables, instead of combining forecasts of those disaggregates or forecasting by a univariate aggregate model. New analytical results show the effects of changing coefficients, mis-specification, estimation uncertainty and...

In this paper we compare the in-sample fit and out-of-sample forecasting performance of no-arbitrage quadratic and essentially affine term structure models, as well as the dynamic Nelson-Siegel model. In total eleven model variants are evaluated, comprising five quadratic, four affine and two...