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"This paper presents a political economy theory of the behavior of fiscal policy over the business cycle. The theory predicts that, in both booms and recessions, fiscal policies are set so that the marginal cost of public funds obeys a submartingale. In the short run, fiscal policy can be pro-cyclical with government debt spiking up upon entering a boom. However, in the long run, fiscal policy is counter-cyclical with debt increasing in recessions and decreasing in booms. Government spending increases in booms and decreases during recessions, while tax rates decrease during booms and increase in recessions. Data on tax rates from the G7 countries supports the submartingale prediction, and the correlations between fiscal policy variables and national income implied by the theory are consistent with much of the existing evidence from the U.S. and other countries"--National Bureau of Economic Research web site

We present a dynamic theory of electoral competition to study the determinants of fiscal policy. In each period, two parties choose electoral platforms to maximize the expected number of elected representatives. The platforms include public expenditure, redistributive transfers, the tax rate and the level of public debt. Voters cast their vote after seeing the platforms and elect representatives according to a majoritarian winner take all system. The level of debt, by affecting the budget constraint in future periods, creates a strategic linkage between electoral cycles. We characterize the Markov equilibrium of this game when public debt is the state variable, and study how Pareto efficiency depends on the electoral rule and the underlying fundamentals of the economy.

To study how a firm can capitalize on a long-term customer relationship, we characterize the optimal contract between a monopolist and a consumer whose preferences follow a Markov process. The optimal contract is nonstationary and has infinite memory, but is described by a simple state variable. Under general conditions, supply converges to the efficient level for any degree of persistence of the types and along any history, though convergence is history-dependent. In contrast, as with constant types, the optimal contract can be renegotiation-proof, even with highly persistent types. These properties provide insights into the optimal ownership structure of the production technology.

We study policy advice by several experts with noisy private information and biased preferences. We highlight a trade-off between the truthfulness of the information revealed by each expert and the number of signals from different experts that can be aggregated to reduce noise. Contrary to models with perfectly informed experts, because of this trade-off, full revelation of information is never possible. However, almost fully efficient information extraction can be obtained in two cases. First, there is an equilibrium in which the outcome converges to the first best benchmark with no asymmetric information as we increase the precision the experts' signals. Second, the inefficiency in communication also converges to zero as the number of experts increases, even when the residual noise in the experts' private signals is large and all the experts have significant and similar (but not necessarily identical) biases.