Working paper
Estimating Euler Equations with Noisy Data: Two Exact GMM Estimators.
- Abstract:
- In this paper we exploit the speci c structure of the Euler equation and develop two alternative GMM estimators that deal explicitly with measurement error. The rst estimator assumes that the measurement error is lognormally distributed. The second estimator drops the distribu- tional assumption and solves out for the unknown, but constant, conditional mean. Our monte carlo results suggest that both proposed estimators perform much better than conventional alternatives based on the exact Euler equation or its log-linear approximation, especially with short panels. The empirical application of the proposed estimators yields plausible estimates of the coe¢ cient of relative risk aversion and discount rate.
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(Preview, pdf, 157.9KB, Terms of use)
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Authors
- Publisher:
- Department of Economics (University of Oxford)
- Series:
- Discussion paper series
- Publication date:
- 2006-09-01
- Language:
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English
- UUID:
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uuid:f0209019-2189-4937-aa8f-c58b746856d8
- Local pid:
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ora:1322
- Deposit date:
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2011-08-16
- ARK identifier:
Terms of use
- Copyright date:
- 2006
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