This paper develops a structural dynamic retirement model to investigate effects and corresponding underlying mechanisms of a partial retirement program on labor supply, fiscal balances, and the pension income distribution. The structural approach allows for disentangling the two counteracting...

Machine learning algorithms are now frequently used in sensitive contexts that substantially affect the course of human lives, such as credit lending or criminal justice. This is driven by the idea that 'objective' machines base their decisions solely on facts and remain unaffected by human...

This paper develops a structural dynamic retirement model to investigate effects and corresponding underlying mechanisms of a partial retirement program on labor supply, fiscal balances, and the pension income distribution. The structural approach allows for disentangling the two counteracting...

The demographic change is posing many challenges for government budgets. In the face of a shrinking work force, keeping the number of workers and thus pension contributors at the highest possible level is a key economic policy goal. This could be achieved if people retire from the work force...

We analyze the implication of time-inconsistent preferences in educational decision making and corresponding policies using a structural dynamic choice model. Based on a novel identification approach, we exploit variation in average years invested in degree attainment through various educational...

We analyze the implication of time-inconsistent preferences in educational decision making and corresponding policies using a structural dynamic choice model. Based on a novel identification approach, we exploit variation in average years invested in degree attainment through various educational...