Nonstationary Panels, Panel Cointegration, and Dynamic Panels

Nonstationary Panels, Panel Cointegration, and Dynamic Panels PDF Author: Badi H. Baltagi
Publisher: Elsevier
ISBN: 0762306882
Category : Business & Economics
Languages : en
Pages : 351

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Book Description
In the 16th Edition of Advances in Econometrics we present twelve papers discussing the current interface between Marketing and Econometrics. The authors are leading scholars in the fields and introduce the latest models for analysing marketing data. The papers are representative of the types of problems and methods that are used within the field of marketing. Marketing focuses on the interaction between the firm and the consumer. Economics encompasses this interaction as well as many others. Economics, along with psychology and sociology, provides a theoretical foundation for marketing.

Nonstationary Panels, Panel Cointegration, and Dynamic Panels

Nonstationary Panels, Panel Cointegration, and Dynamic Panels PDF Author: Badi H. Baltagi
Publisher: Elsevier
ISBN: 0762306882
Category : Business & Economics
Languages : en
Pages : 351

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Book Description
In the 16th Edition of Advances in Econometrics we present twelve papers discussing the current interface between Marketing and Econometrics. The authors are leading scholars in the fields and introduce the latest models for analysing marketing data. The papers are representative of the types of problems and methods that are used within the field of marketing. Marketing focuses on the interaction between the firm and the consumer. Economics encompasses this interaction as well as many others. Economics, along with psychology and sociology, provides a theoretical foundation for marketing.

Nonstationary Panels, Cointegration in Panels, and Dynamic Panels

Nonstationary Panels, Cointegration in Panels, and Dynamic Panels PDF Author: Badi Hani Baltagi
Publisher:
ISBN:
Category : Econometric models
Languages : en
Pages : 44

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Book Description


The Oxford Handbook of Panel Data

The Oxford Handbook of Panel Data PDF Author: Badi Hani Baltagi
Publisher:
ISBN: 0199940045
Category : Business & Economics
Languages : en
Pages : 705

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Book Description
The Oxford Handbook of Panel Data examines new developments in the theory and applications of panel data. It includes basic topics like non-stationary panels, co-integration in panels, multifactor panel models, panel unit roots, measurement error in panels, incidental parameters and dynamic panels, spatial panels, nonparametric panel data, random coefficients, treatment effects, sample selection, count panel data, limited dependent variable panel models, unbalanced panel models with interactive effects and influential observations in panel data. Contributors to the Handbook explore applications of panel data to a wide range of topics in economics, including health, labor, marketing, trade, productivity, and macro applications in panels. This Handbook is an informative and comprehensive guide for both those who are relatively new to the field and for those wishing to extend their knowledge to the frontier. It is a trusted and definitive source on panel data, having been edited by Professor Badi Baltagi-widely recognized as one of the foremost econometricians in the area of panel data econometrics. Professor Baltagi has successfully recruited an all-star cast of experts for each of the well-chosen topics in the Handbook.

The Econometrics of Panel Data

The Econometrics of Panel Data PDF Author: Lászlo Mátyás
Publisher: Springer Science & Business Media
ISBN: 3540758925
Category : Business & Economics
Languages : en
Pages : 966

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Book Description
This restructured, updated Third Edition provides a general overview of the econometrics of panel data, from both theoretical and applied viewpoints. Readers discover how econometric tools are used to study organizational and household behaviors as well as other macroeconomic phenomena such as economic growth. The book contains sixteen entirely new chapters; all other chapters have been revised to account for recent developments. With contributions from well known specialists in the field, this handbook is a standard reference for all those involved in the use of panel data in econometrics.

Testing for a Unit Root in Panels with Dynamic Factors

Testing for a Unit Root in Panels with Dynamic Factors PDF Author: Hyungsik Roger Moon
Publisher:
ISBN:
Category :
Languages : en
Pages : 0

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Book Description
This paper studies testing for a unit root for large n and T panels in which the cross-sectional units are correlated. To model this cross-sectional correlation, we assume that the data is generated by an unknown number of unobservable common factors. We propose unit root tests in this environment and derive their (Gaussian) asymptotic distribution under the null hypothesis of a unit root and local alternatives. We also show that these tests have no power against the same local alternatives when it is necessary to remove deterministic components. Through Monte Carlo simulations, we provide evidence on the finite sample properties of these new tests.

Econometric Analysis of Panel Data

Econometric Analysis of Panel Data PDF Author: Badi H. Baltagi
Publisher: John Wiley & Sons
ISBN:
Category : Business & Economics
Languages : en
Pages : 328

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Book Description
Econometric Analysis of Panel Data has become established as one of the leading textbooks for students of panel data. The significantly revised and updated third edition from one of the leading researchers and writers in this field builds upon the success of previous editions, and includes the most recent empirical examples from panel data literature. Updated topics include dynamic panels, nonstationary panels, limited dependent variable models, heteroskedastic panels, heterogeneous panels and spatial panels. Other notable features of this third edition: The chapter on nonstationary panels has been completely rewritten and updated to include the recent unit root panel tests with cross-section dependence, and an empirical application is given on purchasing power parity, which is illustrated using Eviews. An empirical example on nursing labor supply has been added, illustrating limited dependent variables methods with panel data. Additional exercises have been added to each chapter and their solutions will be provided on the website. TSP, EViews and Stata output examples are given throughout the book. A simultaneous equation on crime has been added and is illustrated with Stata. Material on heteroske4dasticity in panels is completely revised and updated with recent estimation and testing results.

Panel Data Econometrics

Panel Data Econometrics PDF Author: Manuel Arellano
Publisher: Oxford University Press
ISBN: 0199245282
Category : Business & Economics
Languages : en
Pages : 244

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Book Description
Written by one of the world's leading experts on dynamic panel data reviews, this volume reviews most of the important topics in the subject. It deals with static models, dynamic models, discrete choice and related models.

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

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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.

Large-dimensional Panel Data Econometrics: Testing, Estimation And Structural Changes

Large-dimensional Panel Data Econometrics: Testing, Estimation And Structural Changes PDF Author: Feng Qu
Publisher: World Scientific
ISBN: 9811220794
Category : Business & Economics
Languages : en
Pages : 167

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Book Description
This book aims to fill the gap between panel data econometrics textbooks, and the latest development on 'big data', especially large-dimensional panel data econometrics. It introduces important research questions in large panels, including testing for cross-sectional dependence, estimation of factor-augmented panel data models, structural breaks in panels and group patterns in panels. To tackle these high dimensional issues, some techniques used in Machine Learning approaches are also illustrated. Moreover, the Monte Carlo experiments, and empirical examples are also utilised to show how to implement these new inference methods. Large-Dimensional Panel Data Econometrics: Testing, Estimation and Structural Changes also introduces new research questions and results in recent literature in this field.

Recent Developments in the Econometrics of Panel Data

Recent Developments in the Econometrics of Panel Data PDF Author: Badi Hani Baltagi
Publisher: Edward Elgar Publishing
ISBN: 9781840649673
Category : Econometrics
Languages : en
Pages : 0

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Book Description
In this landmark collection, the editor has selected the most influential papers on the econometrics of panel data published in the period from 1992-2001, thus providing an update on developments in the field since the two volumes edited by G.S. Maddala in 1993, which covered the period from 1966-1992. Topics covered in these latest volumes include core articles on dynamic panels and the generalized method of moments, heterogeneous panels, non-stationary panels including spurious regression, unit roots and tests for cointegration in panels, limited dependent variable models using panel data including models with censored endogenous variables and sample selection, non-linear panel data models, unbalanced panels, pseudo-panels and specification tests in panels.