Semiparametric Estimation of the Asymptotically Ideal Model

Semiparametric Estimation of the Asymptotically Ideal Model PDF Author: William A. Barnett
Publisher:
ISBN:
Category : Econometric models
Languages : en
Pages : 46

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Semiparametric Estimation of the Asymptotically Ideal Model

Semiparametric Estimation of the Asymptotically Ideal Model PDF Author: William A. Barnett
Publisher:
ISBN:
Category : Econometric models
Languages : en
Pages : 46

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Asymptotically Optimal Estimation in the Semiparametric Heteroscedastic Linear Model

Asymptotically Optimal Estimation in the Semiparametric Heteroscedastic Linear Model PDF Author: Beong-Soo So
Publisher:
ISBN:
Category :
Languages : en
Pages : 146

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Estimation in Semiparametric Models

Estimation in Semiparametric Models PDF Author: Johann Pfanzagl
Publisher: Springer Science & Business Media
ISBN: 1461233968
Category : Mathematics
Languages : en
Pages : 116

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Book Description
Assume one has to estimate the mean J x P( dx) (or the median of P, or any other functional t;;(P)) on the basis ofi.i.d. observations from P. Ifnothing is known about P, then the sample mean is certainly the best estimator one can think of. If P is known to be the member of a certain parametric family, say {Po: {) E e}, one can usually do better by estimating {) first, say by {)(n)(.~.), and using J XPo(n)(;r.) (dx) as an estimate for J xPo(dx). There is an "intermediate" range, where we know something about the unknown probability measure P, but less than parametric theory takes for granted. Practical problems have always led statisticians to invent estimators for such intermediate models, but it usually remained open whether these estimators are nearly optimal or not. There was one exception: The case of "adaptivity", where a "nonparametric" estimate exists which is asymptotically optimal for any parametric submodel. The standard (and for a long time only) example of such a fortunate situation was the estimation of the center of symmetry for a distribution of unknown shape.

Nonparametric and Semiparametric Methods in Econometrics and Statistics

Nonparametric and Semiparametric Methods in Econometrics and Statistics PDF Author: William A. Barnett
Publisher: Cambridge University Press
ISBN: 9780521424318
Category : Business & Economics
Languages : en
Pages : 512

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Book Description
Papers from a 1988 symposium on the estimation and testing of models that impose relatively weak restrictions on the stochastic behaviour of data.

Semiparametric Methods in Econometrics

Semiparametric Methods in Econometrics PDF Author: Joel L. Horowitz
Publisher: Springer Science & Business Media
ISBN: 1461206219
Category : Mathematics
Languages : en
Pages : 211

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Book Description
Many econometric models contain unknown functions as well as finite- dimensional parameters. Examples of such unknown functions are the distribution function of an unobserved random variable or a transformation of an observed variable. Econometric methods for estimating population parameters in the presence of unknown functions are called "semiparametric." During the past 15 years, much research has been carried out on semiparametric econometric models that are relevant to empirical economics. This book synthesizes the results that have been achieved for five important classes of models. The book is aimed at graduate students in econometrics and statistics as well as professionals who are not experts in semiparametic methods. The usefulness of the methods will be illustrated with applications that use real data.

Asymptotic Efficient Robust Estimates in Some Semiparametric Models

Asymptotic Efficient Robust Estimates in Some Semiparametric Models PDF Author: Colin Ou Wu
Publisher:
ISBN:
Category :
Languages : en
Pages : 208

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Semiparametric Estimation of Value-at-risk

Semiparametric Estimation of Value-at-risk PDF Author: Jianqing Fan
Publisher:
ISBN:
Category : Parameter estimation
Languages : en
Pages : 64

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Semiparametric Estimation of Binary Discrete Choice Models

Semiparametric Estimation of Binary Discrete Choice Models PDF Author: Margarida Genius
Publisher:
ISBN:
Category : Estimation theory
Languages : en
Pages : 274

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Semiparametric Estimation of a Dynamic Game of Incomplete Information

Semiparametric Estimation of a Dynamic Game of Incomplete Information PDF Author: Patrick L. Bajari
Publisher:
ISBN:
Category : Economics
Languages : en
Pages : 32

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Book Description
Recently, empirical industrial organization economists have proposed estimators for dynamic games of incomplete information. In these models, agents choose from a finite number actions and maximize expected discounted utility in a Markov perfect equilibrium. Previous econometric methods estimate the probability distribution of agents' actions in a first stage. In a second step, a finite vector of parameters of the period return function are estimated. In this paper, we develop semiparametric estimators for dynamic games allowing for continuous state variables and a nonparametric first stage. The estimates of the structural parameters are T1/2 consistent (where T is the sample size) and asymptotically normal even though the first stage is estimated nonparametrically. We also propose sufficient conditions for identification of the model

Semiparametric Inference in a Partial Linear Model

Semiparametric Inference in a Partial Linear Model PDF Author: Pengliang Zhao
Publisher:
ISBN:
Category :
Languages : en
Pages : 158

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