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The consequences of an unknown debt target
Affiliation:1. Department of Economics, Auburn University, 0332 Haley Center, Auburn 36849, AL, United States;2. Department of Economics, College of William & Mary, Morton Hall 131, Williamsburg 23185, VA, United States;1. Universidad Publica de Navarra, Spain;2. Johns Hopkins Carey Business School, United States;1. Dipartimento di Economia “Marco Biagi”, Università degli Studi di Modena e Reggio Emilia, Viale Berengario 51, 43 ovest, 41121 Modena, Italy;2. Dipartimento di Economia e Management, Università degli Studi di Pisa, Via Cosimo Ridolfi 10, 56124 Pisa, Italy;1. LEEPS Lab, University of California, Santa Cruz, United States;2. Department of Economics, University of California, Santa Cruz, United States
Abstract:Several proposals to reduce U.S. debt reveal large differences in their targets. We examine how an unknown debt target affects economic activity using a real business cycle model in which Bayesian households learn about a state-dependent debt target in an endogenous tax rule. Recent papers use stochastic volatility shocks to study fiscal uncertainty. In our setup, the fiscal rule is time-varying due to unknown changes in the debt target. Households infer the current debt target from a noisy tax rule and jointly estimate the transition probabilities. Three key findings emerge from our analysis: (1) limited information about the debt target amplifies the effect of tax shocks through changes in expected tax rates; (2) the welfare losses are an order of magnitude larger when both the debt target state and transition matrix are unknown than when only the debt target state is unknown to households; (3) an unknown debt target likely reduced the stimulative effect of the ARRA and uncertainty about the sunset provision in the Bush tax cuts may have slowed the recovery and led to welfare losses.
Keywords:Bayesian learning  Limited information  Fiscal policy  Welfare  Anticipated utility
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