We consider models where the Ramsey-optimal fiscal policy under Full Commitment (FC) is time-inconsistent and define a new notion of optimal policy, Limited-Time Commitment (LTC). Successive one-period lived governments can commit to future plans over a finite horizon. We provide a sufficient...

We propose a novel utility representation for preferences over risky timed outcomes. The weighted temporal utility model generalizes many well known utility functions for intertemporal decision making under risk. A decision maker with a weighted temporal utility function can have time consistent...

We analyze the impact of unemployment benefits and minimum wagesusing an equilibrium search model which allows for dispersion ofbenefits and productivity levels, job-to-job transitions, andstructural and frictional unemployment. The estimation method usesreadily available aggregate data on...

Many empirical studies on intertemporal choice report preference reversals in the sensethat a preference between a small reward to be received soon and a larger reward to bereceived later reverses as both rewards are equally delayed. Such preference reversals arecommonly interpreted as...

Most evidence of hyperbolic discounting is based on violations of either stationarity or time consistency as observed in choice experiments. These choice reversals may however also result from time-varying discount rates. Hyperbolic discounting is a plausible explanation for choice reversals...

This model of policy evaluation has been developed to identify factors that cause policy outcomes to diverge from the intended results. In this model the explanatory factors may be inherent to the conceptual and institutional framework to which policy makers adhere, or they may be ‘real...

In this paper it is argued that the slowness of the legislativesystem implies pre-commitment of legislation for at least the periodit takes to change a law. A simple model illustrates the benefit ofthis pre-commitment.

In this paper we present a method for using rational expectations in a linear-quadratic optimizationframework. Following the approach put forward by Sims, we solve the model through a QZdecomposition, which is generally easier to implement than the more widely used method of Blanchardand Kahn.