Semiparametric Identification and Estimation of Polynomial Errors- In-variables Models PDF Download
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Author: Jerry A. Hausman
Publisher:
ISBN:
Category : Estimation theory
Languages : en
Pages : 36
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Book Description
Author: Jerry A. Hausman
Publisher:
ISBN:
Category : Estimation theory
Languages : en
Pages : 36
Get Book Here
Book Description
Author:
Publisher: Springer
ISBN: 1349588024
Category : Law
Languages : en
Pages : 7493
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Book Description
The award-winning The New Palgrave Dictionary of Economics, 2nd edition is now available as a dynamic online resource. Consisting of over 1,900 articles written by leading figures in the field including Nobel prize winners, this is the definitive scholarly reference work for a new generation of economists. Regularly updated! This product is a subscription based product.
Author: Grace Y. Yi
Publisher: CRC Press
ISBN: 1351588591
Category : Mathematics
Languages : en
Pages : 648
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Book Description
Measurement error arises ubiquitously in applications and has been of long-standing concern in a variety of fields, including medical research, epidemiological studies, economics, environmental studies, and survey research. While several research monographs are available to summarize methods and strategies of handling different measurement error problems, research in this area continues to attract extensive attention. The Handbook of Measurement Error Models provides overviews of various topics on measurement error problems. It collects carefully edited chapters concerning issues of measurement error and evolving statistical methods, with a good balance of methodology and applications. It is prepared for readers who wish to start research and gain insights into challenges, methods, and applications related to error-prone data. It also serves as a reference text on statistical methods and applications pertinent to measurement error models, for researchers and data analysts alike. Features: Provides an account of past development and modern advancement concerning measurement error problems Highlights the challenges induced by error-contaminated data Introduces off-the-shelf methods for mitigating deleterious impacts of measurement error Describes state-of-the-art strategies for conducting in-depth research
Author:
Publisher:
ISBN:
Category : Econometrics
Languages : en
Pages : 112
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Book Description
Author: Alan P. Kirman
Publisher: Clarendon Press
ISBN: 0191521876
Category : Business & Economics
Languages : en
Pages : 370
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Book Description
Economics: Beyond the Millennium contains articles by leading authorities in various fields of economic theory and econometrics, each of whom gives an account of the current state of the art in their own field and indicate the direction that they think it will take in the next ten years. The fields covered are grouped into three categories: the microfoundations of macroeconomics, where Malinvaud evaluates the theory of resource allocation and Hildenbrand examines the empirical content of economic thories; markets and and organizations, where both Gabszewicz and D'Aspremont et al. look at imperfect competition and general equilibrium, Scotchmer and Thiess consider spatial economics, Ponssard the future of managerial economics, while Van Damme looks at the next stage of game theory; and econometrics, where Gourieroux reviews econometric modelling in general, Maravall looks at time series, Lubrand and Bauwens examine Bayesian analysis, and Blundell looks at the rapidly expanding area of microeconometrics.
Author:
Publisher: Elsevier
ISBN: 0444636544
Category : Business & Economics
Languages : en
Pages : 594
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Book Description
Handbook of Econometrics, Volume 7A, examines recent advances in foundational issues and "hot" topics within econometrics, such as inference for moment inequalities and estimation of high dimensional models. With its world-class editors and contributors, it succeeds in unifying leading studies of economic models, mathematical statistics and economic data. Our flourishing ability to address empirical problems in economics by using economic theory and statistical methods has driven the field of econometrics to unimaginable places. By designing methods of inference from data based on models of human choice behavior and social interactions, econometricians have created new subfields now sufficiently mature to require sophisticated literature summaries. - Presents a broader and more comprehensive view of this expanding field than any other handbook - Emphasizes the connection between econometrics and economics - Highlights current topics for which no good summaries exist
Author: James J. Heckman
Publisher: Elsevier
ISBN: 0444534288
Category : Business & Economics
Languages : en
Pages : 1057
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Book Description
Author: Yale University. Cowles Foundation for Research in Economics
Publisher:
ISBN:
Category : Economics
Languages : en
Pages : 530
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Book Description
Author: David M. Drukker
Publisher: Emerald Group Publishing
ISBN: 1780525249
Category : Business & Economics
Languages : en
Pages : 352
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Book Description
Contains 16 chapters authored by specialists in the field, covering topics such as: Missing-Data Imputation in Nonstationary Panel Data Models; Markov Switching Models in Empirical Finance; Bayesian Analysis of Multivariate Sample Selection Models Using Gaussian Copulas; and, Consistent Estimation and Orthogonality.
Author: Wolfgang Härdle
Publisher: Springer Science & Business Media
ISBN: 3642577008
Category : Mathematics
Languages : en
Pages : 210
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Book Description
In the last ten years, there has been increasing interest and activity in the general area of partially linear regression smoothing in statistics. Many methods and techniques have been proposed and studied. This monograph hopes to bring an up-to-date presentation of the state of the art of partially linear regression techniques. The emphasis is on methodologies rather than on the theory, with a particular focus on applications of partially linear regression techniques to various statistical problems. These problems include least squares regression, asymptotically efficient estimation, bootstrap resampling, censored data analysis, linear measurement error models, nonlinear measurement models, nonlinear and nonparametric time series models.
