estimation of Timing-of-Events (ToE) models. We exploit rich Swedish data of unemployed job-seekers with information on … inflow timing information,is important to deal with selection bias. Next, we omit subsets of explanatory variables and … large biases. Information criteria, in particular those penalizing parameter abundance, are useful to select the number of …

estimation of Timing-of-Events (ToE) models. We exploit rich Swedish data of unemployed job-seekers with information on … inflow timing information, is important to deal with selection bias. Next, we omit subsets of explanatory variables and … large biases. Information criteria, in particular those penalizing parameter abundance, are useful to select the number of …

We analyze unique data on three sources of information on the probability of re-employment within 6 months (RE6), for …) assessments sometimes contain information not captured by the machine learning algorithm. …

policy mix of unemployment insurance agencies. We analyze unique data on three sources of information on the probability of …-reported and caseworker assessments sometimes contain information not captured by the machine learning algorithm. …