Fiscal Foresight and Information Flows [electronic resource] / Todd B Walker.

By: Walker, Todd BContributor(s): Leeper, Eric M | Walker, Todd B | Yang, Susan SMaterial type: TextTextSeries: IMF Working Papers; Working Paper ; No. 12/153Publication details: Washington, D.C. : International Monetary Fund, 2012Description: 1 online resource (65 p.)ISBN: 1475504357 :ISSN: 1018-5941Subject(s): Anticipated Taxes | Bond | Bonds | Econometric Modeling | Fiscal Policies and Behavior of Economic Agents: General | Identified VARs | United StatesAdditional physical formats: Print Version:: Fiscal Foresight and Information FlowsOnline resources: IMF e-Library | IMF Book Store Abstract: News - or foresight - about future economic fundamentals can create rational expectations equilibria with non-fundamental representations that pose substantial challenges to econometric efforts to recover the structural shocks to which economic agents react. Using tax policies as a leading example of foresight, simple theory makes transparent the economic behavior and information structures that generate non-fundamental equilibria. Econometric analyses that fail to model foresight will obtain biased estimates of output multipliers for taxes; biases are quantitatively important when two canonical theoretical models are taken as data generating processes. Both the nature of equilibria and the inferences about the effects of anticipated tax changes hinge critically on hypothesized information flows. Different methods for extracting or hypothesizing the information flows are discussed and shown to be alternative techniques for resolving a non-uniqueness problem endemic to moving average representations.
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News - or foresight - about future economic fundamentals can create rational expectations equilibria with non-fundamental representations that pose substantial challenges to econometric efforts to recover the structural shocks to which economic agents react. Using tax policies as a leading example of foresight, simple theory makes transparent the economic behavior and information structures that generate non-fundamental equilibria. Econometric analyses that fail to model foresight will obtain biased estimates of output multipliers for taxes; biases are quantitatively important when two canonical theoretical models are taken as data generating processes. Both the nature of equilibria and the inferences about the effects of anticipated tax changes hinge critically on hypothesized information flows. Different methods for extracting or hypothesizing the information flows are discussed and shown to be alternative techniques for resolving a non-uniqueness problem endemic to moving average representations.

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