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Volumn 138, Issue 2, 2007, Pages 513-531

Estimation and inference in the case of competing sets of estimating equations

Author keywords

Asymptotic and finite sample risk; Convex combination of estimators; Empirical likelihood; Semiparametric estimation and inference

Indexed keywords

ASYMPTOTIC ANALYSIS; MATHEMATICAL MODELS; OPTIMIZATION; PROBLEM SOLVING; STATISTICAL METHODS; UNCERTAINTY ANALYSIS;

EID: 34247348277     PISSN: 03044076     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jeconom.2006.05.007     Document Type: Article
Times cited : (10)

References (23)
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    • Hansen, L.P.1
  • 10
    • 0002156607 scopus 로고
    • Quasi-likelihood and optimality of estimating functions: some current and unifying themes
    • Heyde C. Quasi-likelihood and optimality of estimating functions: some current and unifying themes. Bulletin of International Statistical Institute 1 (1989) 19-29
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    • Heyde, C.1
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    • 0242636863 scopus 로고    scopus 로고
    • Generalized Empirical Likelihood-Based Model Selection Criteria for Moment Condition Models
    • Hong H., Preston B., and Shum M. Generalized Empirical Likelihood-Based Model Selection Criteria for Moment Condition Models. Econometric Theory 19 (2003) 923-943
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    • A Semiparametric Basis for Combining Estimation Problems under Quadratic Loss
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    • Judge, G.1    Mittelhammer, R.2
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    • Combining Estimators to Improve Structural Model Estimation Under Quadratic Loss
    • Mittelhammer R., and Judge G.G. Combining Estimators to Improve Structural Model Estimation Under Quadratic Loss. Journal of Econometrics 128 (2005) 1-30
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    • Mittelhammer, R.1    Judge, G.G.2
  • 20
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    • Mittelhammer, R., Judge, G., Scheonberg, R., 2005. Empirical evidence concerning finite sample performance of EL-type structural estimation and inference methods. In Festschrift for Thomas Rothenberg, Cambridge University Press, pp. 282-305.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.