In a randomised controlled trial in Austria, lower caseloads in public employment offices led to more meetings of the unemployed with their caseworkers, more job offers, more program assignments, and more sanctions for noncompliance with job search requirements. More intensive counselling led to...

This paper analyses data from a large-scale field experiment where unemployed workers were randomly assigned to an additional caseworker meeting with the purpose to impose a broader job search strategy. We find that the meeting significantly increases job finding and is cost effective. However,...

There is still a lack of knowledge on how to effectively help the long-term unemployed into employment. We evaluate a wide range of active labour market policies for this target group, using a dynamic matching approach. Measures vary considerably in the extent to which they improve labour market...

We analysed a new counselling and support programme for people with low employment prospects in Austria. The Austrian Public Employment Service introduced regional pilots to investigate whether a new counselling strategy could improve labour market outcomes for this group. Eligible unemployed...

Many European countries are facing the key challenge of integrating low-skilled jobless young people into the labour market. From 2018 to 2020, the Public Employment Service (PES) in Vienna tested a new model of intensified support ("case management"). The target group consisted of young...

Convergence in gross domestic product series of five European countriesis empirically identified using multivariate time series models that arebased on unobserved components with dynamic converging properties.We define convergence in terms of a decrease in dispersion over timeand model this...

We value rating-triggered step-up bonds with three methods: (i) the Jarrow, Lando andTurnbull (1997, JLT) framework, (ii) a similar framework using historical probabilities and(iii) as plain vanilla bonds. We find that the market seems to value single step-up bondsaccording to the JLT model,...

This paper investigates business cycle relations among different economies in theEuro area. Cyclical dynamics are explicitly modelled as part of a time series model. Weintroduce mechanisms that allow for increasing or diminishing phase shifts and for time-varyingassociation patterns in different...

This paper proposes a new model-based method to obtain a coincident indicator for the business cycle. A dynamic factor model with trend components and a common cycle component is considered which can be estimated using standard maximum likelihood methods. The multivariate unobserved components...

We introduce a new model for time-varying spatial dependence. The model extends the well-known static spatial lag model. All parameters can be estimated conveniently by maximum likelihood. We establish the theoretical properties of the model and show that the maximum likelihood estimator for the...