Methods of Moments and Semiparametric Econometrics for Limited Dependent Variable Models

Methods of Moments and Semiparametric Econometrics for Limited Dependent Variable Models

Author: Myoung-jae Lee

Publisher: Springer Science & Business Media

Published: 2013-04-17

Total Pages: 285

ISBN-13: 1475725507

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In this book the author surveys new techniques in econometrics which may be used to analyse semiparametric models. As well as covering topics such as instrumental variable estimation, nonparametric density and regression function estimation and semiparametric limited dependent variable models, the book provides details of how these methods may be implemented using software.


Micro-Econometrics

Micro-Econometrics

Author: Myoung-jae Lee

Publisher: Springer Science & Business Media

Published: 2009-09-28

Total Pages: 789

ISBN-13: 0387688412

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Up-to-date coverage of most micro-econometric topics; first half parametric, second half semi- (non-) parametric Many empirical examples and tips in applying econometric theories to data Essential ideas and steps shown for most estimators and tests; well-suited for both applied and theoretical readers


Panel Data Econometrics

Panel Data Econometrics

Author: Myoung-jae Lee

Publisher: Emerald Group Pub Limited

Published: 2002

Total Pages: 195

ISBN-13: 9780124406568

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Disk contains: Four data sets -- Ten GAUSS programs for empirical examples in text.


Analysis of Panels and Limited Dependent Variable Models

Analysis of Panels and Limited Dependent Variable Models

Author: Cheng Hsiao

Publisher: Cambridge University Press

Published: 1999-07-29

Total Pages: 352

ISBN-13: 113943134X

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This important collection brings together leading econometricians to discuss advances in the areas of the econometrics of panel data. The papers in this collection can be grouped into two categories. The first, which includes chapters by Amemiya, Baltagi, Arellano, Bover and Labeaga, primarily deal with different aspects of limited dependent variables and sample selectivity. The second group of papers, including those by Nerlove, Schmidt and Ahn, Kiviet, Davies and Lahiri, consider issues that arise in the estimation of dyanamic (possibly) heterogeneous panel data models. Overall, the contributors focus on the issues of simplifying complex real-world phenomena into easily generalisable inferences from individual outcomes. As the contributions of G. S. Maddala in the fields of limited dependent variables and panel data were particularly influential, it is a fitting tribute that this volume is dedicated to him.


Simulation-based Econometric Methods

Simulation-based Econometric Methods

Author: Christian Gouriéroux

Publisher: OUP Oxford

Published: 1997-01-09

Total Pages: 190

ISBN-13: 019152509X

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This book introduces a new generation of statistical econometrics. After linear models leading to analytical expressions for estimators, and non-linear models using numerical optimization algorithms, the availability of high- speed computing has enabled econometricians to consider econometric models without simple analytical expressions. The previous difficulties presented by the presence of integrals of large dimensions in the probability density functions or in the moments can be circumvented by a simulation-based approach. After a brief survey of classical parametric and semi-parametric non-linear estimation methods and a description of problems in which criterion functions contain integrals, the authors present a general form of the model where it is possible to simulate the observations. They then move to calibration problems and the simulated analogue of the method of moments, before considering simulated versions of maximum likelihood, pseudo-maximum likelihood, or non-linear least squares. The general principle of indirect inference is presented and is then applied to limited dependent variable models and to financial series.


Handbook of Measurement Error Models

Handbook of Measurement Error Models

Author: Grace Y. Yi

Publisher: CRC Press

Published: 2021-09-28

Total Pages: 648

ISBN-13: 1351588591

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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


Econometric Foundations Pack with CD-ROM

Econometric Foundations Pack with CD-ROM

Author: Ron Mittelhammer (Prof.)

Publisher: Cambridge University Press

Published: 2000-07-28

Total Pages: 794

ISBN-13: 9780521623940

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The text and accompanying CD-ROM develop step by step a modern approach to econometric problems. They are aimed at talented upper-level undergraduates, graduate students, and professionals wishing to acquaint themselves with the pinciples and procedures for information processing and recovery from samples of economic data. The text fully provides an operational understanding of a rich set of estimation and inference tools, including tradional likelihood based and non-traditional non-likelihood based procedures, that can be used in conjuction with the computer to address economic problems.


Economics Beyond the Millennium

Economics Beyond the Millennium

Author: Alan P. Kirman

Publisher: Clarendon Press

Published: 1999-09-09

Total Pages: 370

ISBN-13: 0191521876

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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.


A Guide to Modern Econometrics

A Guide to Modern Econometrics

Author: Marno Verbeek

Publisher: John Wiley & Sons

Published: 2017-07-31

Total Pages: 523

ISBN-13: 1119401151

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A Guide to Modern Econometrics, 5th Edition has become established as a highly successful textbook. It serves as a guide to alternative techniques in econometrics with an emphasis on intuition and the practical implementation of these approaches. This fifth edition builds upon the success of its predecessors. The text has been carefully checked and updated, taking into account recent developments and insights. It includes new material on causal inference, the use and limitation of p-values, instrumental variables estimation and its implementation, regression discontinuity design, standardized coefficients, and the presentation of estimation results.