Boosting Your Instruments: Estimation with Overidentifying Inequality Moment Conditions
Abstract
This paper derives limit distributions of empirical likelihood estimators for models in which inequality moment conditions provide overidentifying information. We show that the use of this information leads to a reduction of the asymptotic mean-squared estimation error and propose asymptotically valid con¯dence sets for the parameters of interest. While inequality moment conditions arise in many important economic models, we use a dynamic macroeconomic model as data generating process and il- lustrate our methods with instrumental variable estimators of monetary policy rules. The assumption that output does not fall in response to an expansionary monetary policy shock leads to an inequality moment condition that can substantially increase the precision with which the policy rule is estimated. The results obtained in this paper extend to conventional GMM estimators.Download Info
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Paper provided by Institute of Economic Policy Research (IEPR) in its series IEPR Working Papers with number 06.56.Length: 51 pages
Date of creation: Oct 2006
Date of revision:
Handle: RePEc:scp:wpaper:06-56
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Keywords: Empirical Likelihood Estimation; Generalized Method of Moments; Inequality Moment Conditions; Instrumental Variable Estimation; Monetary Policy Rules;Other versions of this item:
- Moon, Hyungsik Roger & Schorfheide, Frank, 2006. "Boosting Your Instruments: Estimation with Overidentifying Inequality Moment Conditions," CEPR Discussion Papers 5605, C.E.P.R. Discussion Papers.
- C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models
This paper has been announced in the following NEP Reports:
- NEP-ALL-2007-01-23 (All new papers)
- NEP-ECM-2007-01-23 (Econometrics)
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Citations
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