1.

Record Nr.

UNINA9910452627803321

Autore

Leeper Eric Michael

Titolo

Fiscal foresight and information flows [[electronic resource] /] / Eric M. Leeper, Todd B. Walker, and Shu-Chun Susan Yang

Pubbl/distr/stampa

Washington, D.C., : International Monetary Fund, c2012

ISBN

1-4755-1691-6

1-4755-5824-4

Descrizione fisica

1 online resource (66 p.)

Collana

IMF working paper ; ; 12/153

Altri autori (Persone)

WalkerTodd B (Todd Bruce)

YangShu-Chun Susan <1971->

Soggetti

Taxation

Fiscal policy

Information theory in economics

Electronic books.

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Description based upon print version of record.

Nota di bibliografia

Includes bibliographical references.

Nota di contenuto

Cover; Contents; I. Introduction; II. Analytical Example; A. The Econometrics of Foresight; Figures; 1. Responses of Capital to Tax Increase; B. Generalizations; III. Quantitative Importance of Foresight; A. Modeling Information Flows; B. Model Descriptions; C. Information Flows and Estimation Bias; Tables; 1. Information Flow Processes; IV. Solving the Problem; 2. Output Multipliers for a Labor Tax Change; A. An Organizing Principle; B. Lines of Attack; 1. The Narrative Approach; 2. Conditioning on Asset Prices; 3. Direct Estimation of DSGE Model; V. Concluding Remarks; Appendices

I. Simulations Details II. Testing Economic Theory; III. Municipal Bonds and Fiscal Foresight: Additional Results; IV. Assessing the Ex-Ante Approach; References

Sommario/riassunto

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 canonic