Using an administrative data set containing daily information on individual workers' employment histories, we investigate how workers' labour market transitions are affected by international outsourcing. In order to do so, we estimate hazard rate models for match separations, as well as for...

The secular rise of European unemployment since the 1960s is hard to explain without reference to structural change. This is especially true in Germany, where industrial employment has declined by more than 30% and service sector employment has more than doubled over the past three decades....

In this paper, we provide a comprehensive overview of labour market dynamics in Western Germany by looking at gross worker flows. To do so, we use a subsample of the registry data collected by the German social security system, the IAB employment sample, for the time period 1975-2001. The latter...

We analyse the effect of skill mismatch in a search model of equilibrium unemployment with risk-neutral agents, endogenous job destruction, and two-sidedex-ante heterogeneity. First, we examine the interaction of labour market institutions and skill mismatch. We find that skill mismatch changes...

We give an explicit PDE characterization for the solution of the problemof maximizing the utility of both terminal wealth and intertemporal consumption under model uncertainty. The underlying market model consists of a risky asset, whose volatility and long-term trend are driven by an external...

The uniqueness of bounded local equilibria under interest rate rules is analyzed in a model with sticky information à la Mankiw and Reis (2002). The main results are tighter bounds on monetary policy than in sticky-price models, irrelevance ofthe degree of output-gap targeting for determinacy,...

We introduce a Nelson-Siegel type interest rate term structure model with the underlying yield factors following autoregressive processes revealing time-varying stochastic volatility. The factor volatilities capture risk inherent to the term structure and are associated with the time-varying...

We present a new way to model age-specific demographic variables with the example of age-specific mortality in the U.S., building on the Lee-Carter approach and extendingit in several dimensions. We incorporate covariates and model their dynamics jointly with the latent variables underlying...

Motivated by the recurrent Neural Networks, this paper proposes a recurrent Support Vector Regression (SVR) procedure to forecast nonlinear ARMA model based simulated data and real data of financial returns. The forecasting ability of the recurrent SVR is compared with three competing methods,...

In this paper we introduce the dynamic semiparametric factor model (DSFM) for electricity forward curves. The biggest advantage of our approach is that it not only leads to smooth,seasonal forward curves extracted from exchange traded futures and forward electricity contracts, but also to a...