Invariant tests based onM-estimators, estimating functions, and the generalized method of moments
نویسندگان
چکیده
منابع مشابه
Estimating functions and the generalized method of moments.
Estimating functions provide a very general framework for statistical inference, and are particularly useful when one is either unable or unwilling to specify a likelihood function. This paper aims to provide an accessible review of estimating function theory that has potential for application to the analysis and modelling of a wide range of complex systems. Assumptions are given in terms that ...
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D espite Emerson’s contempt for foolish consistency, consistency is not a foolish property for an estimator. Indeed, its absence would seem troubling. Who would want to admit that his or her estimator wouldn’t get the right answer with “all the data in the world”? Consequently, a widely applicable method for devising consistent estimators is a useful tool. This section develops two such tools, ...
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در این پایان نامه تاثیر دو نوع تست جزیی نگر و کلی نگر بر به یادسپاری محتوا ارزیابی شده که نتایج نشان دهندهکارایی تستهای کلی نگر بیشتر از سایر آزمونها است
15 صفحه اولGeneralized Method of Moments
This entry describes the basic framework for statistical estimation and inference using Generalized Method of Moments and also illustrates the types of empirical models in finance to which these techniques have been applied. GeneralizedMethod of Moments (GMM) provides a computationally convenientmethod of obtaining consistent and asymptotically normally distributed estimators of the parameters ...
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To obtain consistency and asymptotic normality, a generalized method of moments (GMM) estimator typically is defined to be an approximate global minimizer of a GMM criterion function. To compute such an estimator, however, can be problematic because of the difficulty of global optimization. In consequence, practitioners usually ignore the problem and take the GMM estimator to be the result of a...
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ژورنال
عنوان ژورنال: Econometric Reviews
سال: 2016
ISSN: 0747-4938,1532-4168
DOI: 10.1080/07474938.2015.1114285