provided us with fruitful comments and suggestions. Amador acknowledges NSF support. The views expressed herein are those of the author(s) and do not necessarily reflect the views of the National Bureau of Economic Research. NBER working papers are circulated for discussion and comment purposes. They have not been peerreviewed or been subject to the review by the NBER Board of Directors that accompanies official NBER publications.
We study the effect of releasing public information about productivity or monetary shocks when agents learn from nominal prices. While public releases have the benefit of providing new information, they can have the cost of reducing the informational efficiency of the price system. We show that, when agents have private information about monetary shocks, the cost can dominate, in that public releases increase uncertainty about fundamentals. In some cases, public releases can create or eliminate multiple equilibria. Our results are robust to adding velocity shocks, imperfectly observable prices, large idiosyncratic shocks, and introducing a bond market.
No abstract
We characterize optimal taxation of foreign capital and optimal sovereign debt policy in a small open economy where the government cannot commit to policy, seeks to insure a risk averse domestic constituency, and is more impatient than the market. Optimal policy generates long-run cycles in both sovereign debt and foreign direct investment in an environment in which the first best capital stock is a constant. The expected tax on capital endogenously varies with the state of the economy and investment is distorted by more in recessions than in booms amplifying the effect of shocks. The government's lack of commitment induces a negative correlation between investment and the stock of government debt, a "debt overhang" effect. Debt relief is never Pareto improving and cannot affect the long-run level of investment. Further, restricting the government to a balanced budget can eliminate the cyclical distortion of investment. * We thank Andrea Pratt and two anonymous referees for very helpful suggestions. We also thank Emmanuel Farhi, Doireann Fitzgerald, Dirk Niepelt, Roberto Rigobon, and Dietrich Vollrath and seminar participants at several places for comments. We owe a special debt to Ivan Werning, who was particularly generous with his time and suggestions. We thank Oleg Itshokhi for excellent research assistance.
This paper studies the optimal trade-off between commitment and flexibility in an intertemporal consumption/savings choice model. Individuals expect to receive relevant information regarding their own situation and tastes -generating a value for flexibility -but also expect to suffer from temptations -generating a value for commitment. The model combines the representations of preferences for flexibility introduced by Kreps (1979) with its recent antithesis for commitment proposed by Gul and Pesendorfer (2002), or alternatively, the hyperbolic discounting model. We set up and solve a mechanism design problem that optimizes over the set of consumption/saving options available to the individual each period. We characterize the conditions under which the solution takes a simple threshold form where minimum savings policies are optimal. Our analysis is also relevant for other issues such as situations with externalities or the problem faced by a "paternalistic" planner, which may be important for thinking about some regulations such as forced minimum schooling laws.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.