Information rigidity and the expectations formation process : a simple framework and new facts /
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Author / Creator: | Coibion, Olivier. |
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Imprint: | [Washington, D.C.] : International Monetary Fund, ©2012. |
Description: | 1 online resource (55 pages). |
Language: | English |
Series: | IMF working paper ; WP/12/296 IMF working paper ; WP/12/296. |
Subject: | |
Format: | E-Resource Book |
URL for this record: | http://pi.lib.uchicago.edu/1001/cat/bib/12501392 |
Table of Contents:
- Cover; Contents; I. Introduction; II. Forecast Errors, Forecast Revisions and Information Rigidities; A. Sticky-Information Model; B. Noisy-Information Model; C. A New Approach for Assessing the Nature of the Expectations Formation Process; D. Extensions and Alternative Interpretations; Heterogeneity in Signal-Noise Ratios; Forecast Smoothing; III. Information Rigidities across Agent Types, Macroeconomic Variables, and Countries; A. Information Rigidity across Agents; B. Information Rigidity across Variables and Horizons; C. Information Rigidity across Countries.
- D. Cross-Sectional Variation and the Determinants of Information RigidityIV. State-Dependence in Information Rigidities; A. Information Rigidities and the Great Moderation; B. Information Rigidities over the Business Cycle; C. Information Rigidities after Large Visible Shocks; V. Concluding Remarks; References; Tables; 1. Tests of the Inflation Expectations Process; 2. Testing for Higher Order Dynamics; 3. Tests of Alternative Interpretations of Forecast Error Predictability; 4. Information Rigidity in Inflation Forecasts by Forecaster Types.
- 5. The Macroeconomic Determinants of Information Rigidities6. Forecast Revisions after the 9/11 Attacks; Figures; 1. Estimates of Information Rigidity by Horizon and Macroeconomic Variable; 2. International Evidence on Information Rigidities; 3. Information Rigidity and the Great Moderation; 4. Information Rigidity during a Business Cycle; 5. Forecasts of U.S. Production before and After the September 11[Sup(th)], 2001 Attacks; Appendices; A. Bias in OLS Estimates under Common Noise; B. Noisy-Information Model under Generalized Dynamics.
- C. Noisy-Information Model with Heterogeneous Signal-Noise RatiosD. Noisy-Information Model with Heterogeneous Priors about Long-Run Means; E. Heterogeneity in Loss Aversion; F: Dynamic Forecast Smoothing; Appendix Tables; 7. Properties of Inflation Forecasts; 8. Pooled Estimates of the Expectations Formation Process; Appendix Figures; 6. Inflation Forecasts from Professional Forecasters, Consumers and Financial Markets; 7. Noise-Signal Ratios and Estimated Coefficients on Forecast Revisions.