The DOI matches its Crossref record; 61 of the 61 references it cites were found in a registry or an index.
The Bond Premium in a DSGE Model with Long-Run Real and Nominal Risks
Abstract
The term premium in standard macroeconomic DSGE models is far too small and stable relative to the data—an example of the “bond premium puzzle.” However, in endowment economy models, researchers have generated reasonable term premiums by assuming investors have recursive Epstein-Zin preferences and face long-run economic risks. We show that introducing Epstein-Zin preferences into a canonical DSGE model can also produce a large and variable term premium without compromising the model's ability to fit key macroeconomic variables. Long-run nominal risks further improve the model's empirical fit, but do not substantially reduce the need for high risk aversion. (JEL E13, E31, E43, E44)
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Cites
Nominal Rigidities and the Dynamic Effects of a Shock to Monetary Policy
Christiano, L. J., Eichenbaum, M., & Evans, C. L. (2005) · Journal of Political Economy · doi:10.1086/426038 · Cited by 6,238
Mehra, R., & Prescott, E. C. (1985) · Journal of Monetary Economics · doi:10.1016/0304-3932(85)90061-3 · Cited by 5,535
INTEREST AND PRICES: FOUNDATIONS OF A THEORY OF MONETARY POLICY
Woodford, M., & WALSH, C. E. (2005) · Macroeconomic Dynamics · doi:10.1017/s1365100505040253 · Cited by 5,508
By Force of Habit: A Consumption‐Based Explanation of Aggregate Stock Market Behavior
Campbell, J. Y., & Cochrane, J. H. (1999) · Journal of Political Economy · doi:10.1086/250059 · Cited by 5,210
Shocks and Frictions in US Business Cycles: A Bayesian DSGE Approach
Smets, F., & Wouters, R. (2007) · American Economic Review · doi:10.1257/aer.97.3.586 · Cited by 4,611
Staggered Prices in a Utility-Maximizing Framework
(1996) · Money, Exchange Rates, and Output · doi:10.7551/mitpress/4758.003.0007 · Cited by 4,369
Epstein, L. G., & Zin, S. E. (1989) · Econometrica · doi:10.2307/1913778 · Cited by 4,262
Risks for the Long Run: A Potential Resolution of Asset Pricing Puzzles
Bansal, R., & Yaron, A. (2004) · The Journal of Finance · doi:10.1111/j.1540-6261.2004.00670.x · Cited by 4,242
Production, growth and business cycles
King, R. G., Plosser, C. I., & Rebelo, S. T. (1988) · Journal of Monetary Economics · doi:10.1016/0304-3932(88)90030-x · Cited by 2,191
Temporal Resolution of Uncertainty and Dynamic Choice Theory
Kreps, D. M., & Porteus, E. L. (1978) · Econometrica · doi:10.2307/1913656 · Cited by 1,821
Cited by
Shocks and Frictions in US Business Cycles: A Bayesian DSGE Approach
Smets, F., & Wouters, R. (2007) · American Economic Review · doi:10.1257/aer.97.3.586 · Cited by 4,611
The Response of Interest Rates to US and UK Quantitative Easing
Christensen, J. H. E., & Rudebusch, G. D. (2012) · The Economic Journal · doi:10.1111/j.1468-0297.2012.02554.x · Cited by 340
Self-citationMacroeconomics and the Term Structure
Gürkaynak, R. S., & Wright, J. H. (2012) · Journal of Economic Literature · doi:10.1257/jel.50.2.331 · Cited by 313
Metadata
- Authors
- Rudebusch, G. D., & Swanson, E. T.
- Venue
- American Economic Journal: Macroeconomics
- Publisher
- American Economic Association
- Published
- 2012-01-01
- Volume
- 4
- Issue
- 1
- Pages
- 105-143
- ISSN
- 1945-7707 (ISSN-L)
- 1945-7715
- OpenAlex
- W3123374514
- Cited by
- 304
- References
- 61
- FWCI
- 69.69
- Type
- journal article
- Language
- en
- Open access
- closed
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