Can a large-scale defcit spending program speed up recovery after recession? To answer that question we calibrate a standard neoclassical growth model with US data and assume that an exogenous shock has driven aggregate output far below steady-state level. We calibrate the model such that a...

This paper examines financial professionals' overconfidence in their forecasting performance. We compare individuals' self-rating of performance with the true performance, both measured relative to the same peer group. The forecasters in our sample show overconfidence on average, although to a...

This paper treats the problem of setting the inventory level of closed-loop flow lines operating under the constant-work-in-process (CONWIP) protocol. We solve a huge but simple linear program that models an entire simulation run of a closed-loop flow line in discrete time to determine a...

We use a long panel data set for four entry cohorts into an internal labor market to analyze the effect of age on the probability to participate in different training measures. We find that training participation probabilities are inverted u-shaped with age and that longer training measures are...

This paper examines five possible explanations for the Great Recession of 2008 and 2009, using data for the United States and the eurozone. Of these five hypotheses, four are not supported by the data, while the fifth appears reasonable.

We propose an automatic model order selection procedure for k-factor GARMA processes. The procedure is based on sequential tests of the maximum of the periodogram and semiparametric estimators of the model parameters. As a byproduct, we introduce a generalized version of Walker's large sample...

An OLS and probit framework is used to examine the predictive power of yield spreads with respect to GDP growth and recessions in the Eurozone from the 1990s to the recent past. Credit default swap (CDS) data on sovereign bonds, which provide a direct measure of default risk, are employed as...

Claims data studies are becoming an increasingly important source of information for healthcare stakeholders. The importance and scientific use of claims data of the statutory health funds has further increased. We saw a general lack of elaborated recommendations for best practices in this field...

We study a matched sample of individual stock market forecasts consisting of both qualitative and quantitative forecasts. This allows us to test for the quality of forecast quantification methods by comparing quantified qualitative forecasts with actual quantitative forecasts. Focusing mainly on...

In this paper the performance of different information criteria for simultaneous model class and lag order selection is evaluated using simulation studies. We focus on the ability of the criteria to distinguish linear and nonlinear models. In the simulation studies, we consider three different...