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Dynamics of Fiscal Financing in the United States

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Eric M. Leeper
Michael Plante
Nora Traum

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Abstract

Dynamic stochastic general equilibrium models that include policy rules for government spending, lump-sum transfers, and distortionary taxation on labor and capital income and on consumption expenditures are fit to U.S. data under a variety of specifications of fiscal policy rules. We obtain several results. First, the best fitting model allows a rich set of fiscal instruments to respond to stabilize debt. Second, responses of aggregate variables to fiscal policy shocks under rich fiscal rules can vary considerably from responses that allow only non-distortionary fiscal instruments to finance debt. Third, based on estimated policy rules, transfers, capital tax rates, and government spending have historically responded strongly to government debt, while labor taxes have responded more weakly. Fourth, all components of the intertemporal condition linking debt to expected discounted surpluses---transfers, spending, tax revenues, and discount factors---display instances where their expected movements are important in establishing equilibrium. Fifth, debt-financed fiscal shocks trigger long lasting dynamics so that short-run multipliers can differ markedly from long-run multipliers, even in their signs.

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Paper provided by National Bureau of Economic Research, Inc in its series NBER Working Papers with number 15160.

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Date of creation: Jul 2009
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Handle: RePEc:nbr:nberwo:15160

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Find related papers by JEL classification:
C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Bayesian Analysis
E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
E62 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - Fiscal Policy

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  1. Eric M. Leeper, 2009. "Anchoring Fiscal Expectations," NBER Working Papers 15269, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
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