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Econometric Analysis

Econometric Analysis PDF Author: William H. Greene
Publisher:
ISBN: 9789353061074
Category : Econometrics
Languages : en
Pages : 0

Book Description


Econometric Analysis

Econometric Analysis PDF Author: William H. Greene
Publisher:
ISBN: 9789353061074
Category : Econometrics
Languages : en
Pages : 0

Book Description


Econometric Analysis of Cross Section and Panel Data, second edition

Econometric Analysis of Cross Section and Panel Data, second edition PDF Author: Jeffrey M. Wooldridge
Publisher: MIT Press
ISBN: 0262232588
Category : Business & Economics
Languages : en
Pages : 1095

Book Description
The second edition of a comprehensive state-of-the-art graduate level text on microeconometric methods, substantially revised and updated. The second edition of this acclaimed graduate text provides a unified treatment of two methods used in contemporary econometric research, cross section and data panel methods. By focusing on assumptions that can be given behavioral content, the book maintains an appropriate level of rigor while emphasizing intuitive thinking. The analysis covers both linear and nonlinear models, including models with dynamics and/or individual heterogeneity. In addition to general estimation frameworks (particular methods of moments and maximum likelihood), specific linear and nonlinear methods are covered in detail, including probit and logit models and their multivariate, Tobit models, models for count data, censored and missing data schemes, causal (or treatment) effects, and duration analysis. Econometric Analysis of Cross Section and Panel Data was the first graduate econometrics text to focus on microeconomic data structures, allowing assumptions to be separated into population and sampling assumptions. This second edition has been substantially updated and revised. Improvements include a broader class of models for missing data problems; more detailed treatment of cluster problems, an important topic for empirical researchers; expanded discussion of "generalized instrumental variables" (GIV) estimation; new coverage (based on the author's own recent research) of inverse probability weighting; a more complete framework for estimating treatment effects with panel data, and a firmly established link between econometric approaches to nonlinear panel data and the "generalized estimating equation" literature popular in statistics and other fields. New attention is given to explaining when particular econometric methods can be applied; the goal is not only to tell readers what does work, but why certain "obvious" procedures do not. The numerous included exercises, both theoretical and computer-based, allow the reader to extend methods covered in the text and discover new insights.

The Econometric Analysis of Network Data

The Econometric Analysis of Network Data PDF Author: Bryan Graham
Publisher: Academic Press
ISBN: 0128117710
Category : Business & Economics
Languages : en
Pages : 244

Book Description
The Econometric Analysis of Network Data serves as an entry point for advanced students, researchers, and data scientists seeking to perform effective analyses of networks, especially inference problems. It introduces the key results and ideas in an accessible, yet rigorous way. While a multi-contributor reference, the work is tightly focused and disciplined, providing latitude for varied specialties in one authorial voice.

Econometric Analysis of Panel Data

Econometric Analysis of Panel Data PDF Author: Badi Baltagi
Publisher: John Wiley & Sons
ISBN: 0470518863
Category : Business & Economics
Languages : en
Pages : 239

Book Description
Written by one of the world's leading researchers and writers in the field, Econometric Analysis of Panel Data has become established as the leading textbook for postgraduate courses in panel data. This new edition reflects the rapid developments in the field covering the vast research that has been conducted on panel data since its initial publication. Featuring the most recent empirical examples from panel data literature, data sets are also provided as well as the programs to implement the estimation and testing procedures described in the book. These programs will be made available via an accompanying website which will also contain solutions to end of chapter exercises that will appear in the book. The text has been fully updated with new material on dynamic panel data models and recent results on non-linear panel models and in particular work on limited dependent variables panel data models.

Econometric Analysis of Count Data

Econometric Analysis of Count Data PDF Author: Rainer Winkelmann
Publisher: Springer Science & Business Media
ISBN: 9783540404040
Category : Business & Economics
Languages : en
Pages : 324

Book Description
Many other sections have been entirely rewritten and extended."--BOOK JACKET.

The Econometric Analysis of Transition Data

The Econometric Analysis of Transition Data PDF Author: Tony Lancaster
Publisher: Cambridge University Press
ISBN: 9780521437899
Category : Business & Economics
Languages : en
Pages : 380

Book Description
This book presents statistical methods for analysis of the duration of events. The primary focus is on models for single-spell data, events in which individual agents are observed for a single duration. Some attention is also given to multiple-spell data. The first part of the book covers model specification, including both structural and reduced form models and models with and without neglected heterogeneity. The book next deals with likelihood based inference about such models, with sections on full and semiparametric specification. A final section treats graphical and numerical methods of specification testing. This is the first published exposition of current econometric methods for the study of duration data.

The Econometric Analysis of Non-Stationary Spatial Panel Data

The Econometric Analysis of Non-Stationary Spatial Panel Data PDF Author: Michael Beenstock
Publisher: Springer
ISBN: 3030036146
Category : Business & Economics
Languages : en
Pages : 280

Book Description
This monograph deals with spatially dependent nonstationary time series in a way accessible to both time series econometricians wanting to understand spatial econometics, and spatial econometricians lacking a grounding in time series analysis. After charting key concepts in both time series and spatial econometrics, the book discusses how the spatial connectivity matrix can be estimated using spatial panel data instead of assuming it to be exogenously fixed. This is followed by a discussion of spatial nonstationarity in spatial cross-section data, and a full exposition of non-stationarity in both single and multi-equation contexts, including the estimation and simulation of spatial vector autoregression (VAR) models and spatial error correction (ECM) models. The book reviews the literature on panel unit root tests and panel cointegration tests for spatially independent data, and for data that are strongly spatially dependent. It provides for the first time critical values for panel unit root tests and panel cointegration tests when the spatial panel data are weakly or spatially dependent. The volume concludes with a discussion of incorporating strong and weak spatial dependence in non-stationary panel data models. All discussions are accompanied by empirical testing based on a spatial panel data of house prices in Israel.

Econometric Analysis of Health Data

Econometric Analysis of Health Data PDF Author: Andrew M. Jones
Publisher: John Wiley & Sons
ISBN: 9780470841457
Category : Medical
Languages : en
Pages : 252

Book Description
Given extensive use of individual level data in Health Economics, it has become increasingly important to understand the microeconometric techniques available to applied researchers. The purpose of this book is to give readers convenient access to a collection of recent contributions that contain innovative applications of microeconometric methods to data on health and health care. Contributions are selected from papers presented at the European Workshops on Econometrics and Health Economics and published in Health Economics. Topics covered include: * Latent Variables * Unobservable heterogeneity and selection problems * Count data and survival analysis * Flexible and semiparametric estimators for limited dependent variables * Classical and simulation methods for panel data * Publication marks the tenth anniversary of the Workshop series. Doctoral students and researchers in health economics and microeconomics will find this book invaluable. Researchers in related fields such as labour economics and biostatistics will also find the content of use.

Econometric Analysis of Stochastic Dominance

Econometric Analysis of Stochastic Dominance PDF Author: Yoon-Jae Whang
Publisher: Cambridge University Press
ISBN: 1108690475
Category : Business & Economics
Languages : en
Pages : 279

Book Description
This book offers an up-to-date, comprehensive coverage of stochastic dominance and its related concepts in a unified framework. A method for ordering probability distributions, stochastic dominance has grown in importance recently as a way to measure comparisons in welfare economics, inequality studies, health economics, insurance wages, and trade patterns. Whang pays particular attention to inferential methods and applications, citing and summarizing various empirical studies in order to relate the econometric methods with real applications and using computer codes to enable the practical implementation of these methods. Intuitive explanations throughout the book ensure that readers understand the basic technical tools of stochastic dominance.

The Econometric Analysis of Time Series

The Econometric Analysis of Time Series PDF Author: Andrew C. Harvey
Publisher:
ISBN: 9780860031925
Category : Econometrics
Languages : en
Pages : 387

Book Description
Coverage has been extended to include recent topics. The book again presents a unified treatment of economic theory, with the method of maximum likelihood playing a key role in both estimation and testing. Exercises are included and the book is suitable as a general text for final-year undergraduate and postgraduate students.