We consider the effects of "precision" screening policies for cancer guided by algorithms. We first show that complex machine learning models can indeed predict cancer better than simpler models that use established risk factors. We then tackle the evaluation challenge: an algorithm that can...

This paper estimates the effects of early interventions in the Swedish sickness insurance system. The aim of the interventions is to screen and, further to, rehabilitate sick listed individuals. We find that the early interventions - in contrast to what is expected - increase the inflow into...

This paper estimates the effects of early interventions in the Swedish sickness insurance system. The aim of the interventions is to screen and, further to, rehabilitate sick listed individuals. We find that the early interventions - in contrast to what is expected - increase the inflow into...

This paper exploits a government initiative to analyze the effect of cognitive behavioral therapy (CBT) for individuals with mild or moderate mental illness and multidisciplinary treatment (MDT) for individuals with pain in back and shoulders. We employ a propensity score matching approach to...

This paper estimates the effects of early interventions in the Swedish sickness insurance system. The aim of the interventions is to screen and, further to, rehabilitate sick listed individuals. We find that the early interventions – in contrast to what is expected – increase the inflow into...

In traditional models, votes are an expression of preferences and beliefs. Psychological theories of cognitive dissonance suggest, however, that behavior may shape preferences. In this view, the very act of voting may influence political attitudes. A vote for a candidate may lead to more...