This paper introduces a novel approach for dealing with the curse of dimensionality in thecase of large linear dynamic systems. Restrictions on the coefficients of an unrestricted VARare proposed that are binding only in a limit as the number of endogenous variables tends toinfinity...

We use spline interpolation to approximate the subjective cumulative distribution function ofan economic agent over the future realization of a continuous (possibly censored) randomvariable. The method proposed exploits information collected using a small number ofprobability questions on...

In absence of randomized controlled experiments, identification is often aimed via instrumental variable (IV) strategies, typically two-stage least squares estimations. According to Bayes' rule, however, under a low ex ante probability that a hypothesis is true (e.g. that an excluded instrument...

Consider the duration of stay of migrants in a host country. We propose a statistical model of locally interdependent return hazards in order to examine whet- her interactions at the level of the neighbourhood are present and lead to social multipliers. To estimate this model we develop and...

To better understand unemployment dynamics it is key to assess the role played by job creation and job destruction. Although the U.S. case has been studied extensively, the importance of job finding and employment exit rates to unemployment variability remains unsettled. The aim of this paper is...

Identification in a regression discontinuity (RD) design hinges on the discontinuity in the probability of treatment when a covariate (assignment variable) exceeds a known threshold. If the assignment variable is measured with error, however, the discontinuity in the first stage relationship...

The widely used Oaxaca decomposition applies to linear models. Extending it to commonly used nonlinear models such as duration models is not straightforward. This paper shows that the original decomposition that uses a linear model can also be obtained by an application of the mean value...

This paper examines how productivity effects of human capital and innovation vary at different points of the conditional productivity distribution. Our analysis draws upon two large unbalanced panels of 6,634 enterprises in Germany and 14,586 enterprises in the Netherlands over the period...

Researchers make hundreds of decisions about data collection, preparation, and analysis in their research. We use a many-analysts approach to measure the extent and impact of these decisions. Two published causal empirical results are replicated by seven replicators each. We find large...