Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. The generalized method of moments (GMM) is a very general statistical method for obtaining estimates of parameters of statistical models. It is a generalization, developed by Lars Peter Hansen, of the method of moments. The term GMM is very popular among econometricians but is hardly used at all outside of economics, where the slightly more general term estimating equations is preferred. A typical econometric problem can be formulated in the following terms: Suppose available data consists of a large number of i.i.d. observations , where each observation Yt is an n-dimensional multivariate random variable. Our knowledge of economics dictates a certain econometric model for this data. Such model is usually defined only up to some parameter, which we will denote by θ ∈ Θ. Our main goal is to seek the “true†value of this parameter, θ0, or at least to find a reasonably close estimate.
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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -Please note that the content of this book primarily consists of articlesavailable from Wikipedia or other free sources online. The generalizedmethod of moments (GMM) is a very general statistical method forobtaining estimates of parameters of statistical models. It is ageneralization, developed by Lars Peter Hansen, of the method ofmoments. The term GMM is very popular among econometricians but ishardly used at all outside of economics, where the slightly more generalterm estimating equations is preferred. A typical econometric problemcan be formulated in the following terms: Suppose available dataconsists of a large number of i.i.d. observations , where eachobservation Yt is an n-dimensional multivariate random variable. Ourknowledge of economics dictates a certain econometric model for thisdata. Such model is usually defined only up to some parameter, which wewill denote by ¿ ¿ ¿. Our main goal is to seek the 'true' value of thisparameter, ¿0, or at least to find a reasonably close estimate.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 96 pp. Englisch. N° de réf. du vendeur 9786133867574
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