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The second estimator drops the distributional assumption at the cost of less precision. Our Monte Carlo results suggest that both proposed estimators perform much better than conventional alternatives based on the exact Euler equation or its log\u2010linear approximation, especially with short panels. An empirical application to the PSID yields plausible and precise estimates of the coefficient of relative risk aversion and the discount rate. Copyright \u00a9 2008 John Wiley &amp; Sons, Ltd.<\/jats:p>","DOI":"10.1002\/jae.1037","type":"journal-article","created":{"date-parts":[[2008,11,7]],"date-time":"2008-11-07T10:48:04Z","timestamp":1226054884000},"page":"309-324","source":"Crossref","is-referenced-by-count":53,"title":["Estimating Euler equations with noisy data: two exact GMM estimators"],"prefix":"10.1002","volume":"24","author":[{"given":"Sule","family":"Alan","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Orazio","family":"Attanasio","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Martin","family":"Browning","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2009,2,24]]},"reference":[{"key":"e_1_2_8_2_1","unstructured":"AlanS BrowningM.2003.Estimating intertemporal allocation parameters using simulated residual estimation. 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