Predictions of whether newly unemployed individuals will become long-term unemployed are important for the planning and policy mix of unemployment insurance agencies. We analyze unique data on three sources of information on the probability of re-employment within 6 months (RE6), for the same...

We present a structural model of firm growth, learning, and survival and consider its identification and estimation. In the model, entrepreneurs have private and possibly errorridden observations of persistent and transitory shocks to profit. We demonstrate that the model's parameters can be...

International large-scale assessments such as PISA are increasingly being used to benchmark the academic performance of young people across the world. Yet many of the technicalities underpinning these datasets are misunderstood by applied researchers, who sometimes fail to take their complex...

This paper combines different strands of the productivity literature to investigate the effect of idiosyncratic (firm-level) policy distortions on aggregate outcomes. On the one hand, a growing body of empirical research has been relating cross-country differences in key economic outcomes, such...

This paper combines different strands of the productivity literature to investigate the effect of idiosyncratic (firm-level) policy distortions on aggregate outcomes. On the one hand, a growing body of empirical research has been relating cross-country differences in key economic outcomes, such...

Our analysis of the survival of firms leads to the important result that the hypotheses about differences between various industries in the life duration of new firms and about the importance of the region of location for the probability of survival are confirmed. Many more enterprises are...

Our analysis of the survival of firms leads to the important result that the hypotheses about differences between various industries in the life duration of new firms and about the importance of the region of location for the probability of survival are confirmed. Many more enterprises are...

Knowledge of treatment effect heterogeneity or "essential heterogeneity" plays an important role in our understanding of how programs work and in the design of systems to allocate them among the eligible. This paper provides a relatively non-technical survey of the current state of the treatment...

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 whether interactions at the level of the neighbourhood are present and lead to social multipliers. To estimate this model we develop and study...

This study employs six Machine Learning methods - Logit, Lasso-Logit, Ridge-Logit, Random Forest, Extreme Gradient Boosting, and an Ensemble - alongside registry data on abortions in Spain from 2011-2019 to predict multiple abortions and assess monetary savings through targeted interventions. We...