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...

We investigate the impacts of economic incentives on the duration and outcome of temporary disability insurance (TDI) spells. The analysis is based on a large quasi-experiment in Norway, with a complete overhaul of the TDI benefit system. Our findings show that the labor supply of TDI claimants...

Work impairment is an increasing concern in advanced economies, particularly among young people. Activation, rather than passively providing economic support, is often regarded as the preferred strategy for addressing this issue. However, little is known about which measures are effective for...

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...

We propose a model of optimal decision making subject to a memory constraint. The constraint is a limit on the complexity of memory measured using Shannon’s mutual information, as in models of rational inattention; but our theory differs from that of Sims (2003) in not assuming costless memory...

We propose a model of optimal decision making subject to a memory constraint. The constraint is a limit on the complexity of memory measured using Shannon's mutual information, as in models of rational inattention; but our theory differs from that of Sims (2003) in not assuming costless memory...

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...