Panel Data Models with Unobserved Effects and Endogenous Explanatory Variables

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ISBN 13 :
Total Pages : 244 pages
Book Rating : 4.3/5 (129 download)

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Book Synopsis Panel Data Models with Unobserved Effects and Endogenous Explanatory Variables by : Irina Murtazashvili

Download or read book Panel Data Models with Unobserved Effects and Endogenous Explanatory Variables written by Irina Murtazashvili and published by . This book was released on 2007 with total page 244 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Specification Tests in Panel Data Models with Unobserved Effects and Endogenous Explanatory Variables

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ISBN 13 :
Total Pages : 208 pages
Book Rating : 4.3/5 (129 download)

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Book Synopsis Specification Tests in Panel Data Models with Unobserved Effects and Endogenous Explanatory Variables by : Carrie A. Falls

Download or read book Specification Tests in Panel Data Models with Unobserved Effects and Endogenous Explanatory Variables written by Carrie A. Falls and published by . This book was released on 2007 with total page 208 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Panel Data Econometrics with R

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Publisher : John Wiley & Sons
ISBN 13 : 1118949188
Total Pages : 328 pages
Book Rating : 4.1/5 (189 download)

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Book Synopsis Panel Data Econometrics with R by : Yves Croissant

Download or read book Panel Data Econometrics with R written by Yves Croissant and published by John Wiley & Sons. This book was released on 2018-08-10 with total page 328 pages. Available in PDF, EPUB and Kindle. Book excerpt: Panel Data Econometrics with R provides a tutorial for using R in the field of panel data econometrics. Illustrated throughout with examples in econometrics, political science, agriculture and epidemiology, this book presents classic methodology and applications as well as more advanced topics and recent developments in this field including error component models, spatial panels and dynamic models. They have developed the software programming in R and host replicable material on the book’s accompanying website.

The Econometrics of Panel Data

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Publisher : Springer Science & Business Media
ISBN 13 : 9400903758
Total Pages : 564 pages
Book Rating : 4.4/5 (9 download)

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Book Synopsis The Econometrics of Panel Data by : László Mátyás

Download or read book The Econometrics of Panel Data written by László Mátyás and published by Springer Science & Business Media. This book was released on 2013-12-01 with total page 564 pages. Available in PDF, EPUB and Kindle. Book excerpt: The aim of this volume is to provide a general overview of the econometrics of panel data, both from a theoretical and from an applied viewpoint. Since the pioneering papers by Kuh (1959), Mundlak (1961), Hoch (1962), and Balestra and Nerlove (1966), the pooling of cross section and time series data has become an increasingly popular way of quantifying economic relationships. Each series provides information lacking in the other, so a combination of both leads to more accurate and reliable results than would be achievable by one type of series alone. Over the last 30 years much work has been done: investigation of the properties of the applied estimators and test statistics, analysis of dynamic models and the effects of eventual measurement errors, etc. These are just some of the problems addressed by this work. In addition, some specific diffi culties associated with the use of panel data, such as attrition, heterogeneity, selectivity bias, pseudo panels etc., have also been explored. The first objective of this book, which takes up Parts I and II, is to give as complete and up-to-date a presentation of these theoretical developments as possible. Part I is concerned with classical linear models and their extensions; Part II deals with nonlinear models and related issues: logit and probit models, latent variable models, incomplete panels and selectivity bias, and point processes.

Analysis of Panels and Limited Dependent Variable Models

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Publisher : Cambridge University Press
ISBN 13 : 113943134X
Total Pages : 352 pages
Book Rating : 4.1/5 (394 download)

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Book Synopsis Analysis of Panels and Limited Dependent Variable Models by : Cheng Hsiao

Download or read book Analysis of Panels and Limited Dependent Variable Models written by Cheng Hsiao and published by Cambridge University Press. This book was released on 1999-07-29 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

The Econometrics of Panel Data

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Publisher : Springer Science & Business Media
ISBN 13 : 3540758925
Total Pages : 966 pages
Book Rating : 4.5/5 (47 download)

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Book Synopsis The Econometrics of Panel Data by : Lászlo Mátyás

Download or read book The Econometrics of Panel Data written by Lászlo Mátyás and published by Springer Science & Business Media. This book was released on 2008-04-06 with total page 966 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Estimating Panel Data Models with Endogeneity and Selection

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ISBN 13 :
Total Pages : 216 pages
Book Rating : 4.3/5 (129 download)

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Book Synopsis Estimating Panel Data Models with Endogeneity and Selection by : Anastasia Semykina

Download or read book Estimating Panel Data Models with Endogeneity and Selection written by Anastasia Semykina and published by . This book was released on 2006 with total page 216 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Panel Data Analysis using EViews

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Publisher : John Wiley & Sons
ISBN 13 : 111871556X
Total Pages : 544 pages
Book Rating : 4.1/5 (187 download)

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Book Synopsis Panel Data Analysis using EViews by : I. Gusti Ngurah Agung

Download or read book Panel Data Analysis using EViews written by I. Gusti Ngurah Agung and published by John Wiley & Sons. This book was released on 2013-12-31 with total page 544 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive and accessible guide to panel data analysis using EViews software This book explores the use of EViews software in creating panel data analysis using appropriate empirical models and real datasets. Guidance is given on developing alternative descriptive statistical summaries for evaluation and providing policy analysis based on pool panel data. Various alternative models based on panel data are explored, including univariate general linear models, fixed effect models and causal models, and guidance on the advantages and disadvantages of each one is given. Panel Data Analysis using EViews: Provides step-by-step guidance on how to apply EViews software to panel data analysis using appropriate empirical models and real datasets. Examines a variety of panel data models along with the author’s own empirical findings, demonstrating the advantages and limitations of each model. Presents growth models, time-related effects models, and polynomial models, in addition to the models which are commonly applied for panel data. Includes more than 250 examples divided into three groups of models (stacked, unstacked, and structured panel data), together with notes and comments. Provides guidance on which models not to use in a given scenario, along with advice on viable alternatives. Explores recent new developments in panel data analysis An essential tool for advanced undergraduate or graduate students and applied researchers in finance, econometrics and population studies. Statisticians and data analysts involved with data collected over long time periods will also find this book a useful resource.

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

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Publisher : World Scientific
ISBN 13 : 9811220794
Total Pages : 167 pages
Book Rating : 4.8/5 (112 download)

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Book Synopsis Large-dimensional Panel Data Econometrics: Testing, Estimation And Structural Changes by : Feng Qu

Download or read book Large-dimensional Panel Data Econometrics: Testing, Estimation And Structural Changes written by Feng Qu and published by World Scientific. This book was released on 2020-08-24 with total page 167 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Panel Data Econometrics

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Publisher : Oxford University Press
ISBN 13 : 0199245282
Total Pages : 244 pages
Book Rating : 4.1/5 (992 download)

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Book Synopsis Panel Data Econometrics by : Manuel Arellano

Download or read book Panel Data Econometrics written by Manuel Arellano and published by Oxford University Press. This book was released on 2003 with total page 244 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Panel Methods for Finance

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Publisher : Walter de Gruyter GmbH & Co KG
ISBN 13 : 3110660814
Total Pages : 284 pages
Book Rating : 4.1/5 (16 download)

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Book Synopsis Panel Methods for Finance by : Marno Verbeek

Download or read book Panel Methods for Finance written by Marno Verbeek and published by Walter de Gruyter GmbH & Co KG. This book was released on 2021-10-25 with total page 284 pages. Available in PDF, EPUB and Kindle. Book excerpt: Financial data are typically characterised by a time-series and cross-sectional dimension. Accordingly, econometric modelling in finance requires appropriate attention to these two – or occasionally more than two – dimensions of the data. Panel data techniques are developed to do exactly this. This book provides an overview of commonly applied panel methods for financial applications, including popular techniques such as Fama-MacBeth estimation, one-way, two-way and interactive fixed effects, clustered standard errors, instrumental variables, and difference-in-differences. Panel Methods for Finance: A Guide to Panel Data Econometrics for Financial Applications by Marno Verbeek offers the reader: Focus on panel methods where the time dimension is relatively small A clear and intuitive exposition, with a focus on implementation and practical relevance Concise presentation, with many references to financial applications and other sources Focus on techniques that are relevant for and popular in empirical work in finance and accounting Critical discussion of key assumptions, robustness, and other issues related to practical implementation

Essays on Nonlinear Panel Models with Unobserved Heterogeneity

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Publisher :
ISBN 13 : 9781369668056
Total Pages : 113 pages
Book Rating : 4.6/5 (68 download)

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Book Synopsis Essays on Nonlinear Panel Models with Unobserved Heterogeneity by : Robert Martin

Download or read book Essays on Nonlinear Panel Models with Unobserved Heterogeneity written by Robert Martin and published by . This book was released on 2017 with total page 113 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Econometrics of Panel Data

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Publisher : Oxford University Press
ISBN 13 : 019106789X
Total Pages : 491 pages
Book Rating : 4.1/5 (91 download)

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Book Synopsis Econometrics of Panel Data by : Erik Biørn

Download or read book Econometrics of Panel Data written by Erik Biørn and published by Oxford University Press. This book was released on 2016-10-17 with total page 491 pages. Available in PDF, EPUB and Kindle. Book excerpt: Panel data is a data type increasingly used in research in economics, social sciences, and medicine. Its primary characteristic is that the data variation goes jointly over space (across individuals, firms, countries, etc.) and time (over years, months, etc.). Panel data allow examination of problems that cannot be handled by cross-section data or time-series data. Panel data analysis is a core field in modern econometrics and multivariate statistics, and studies based on such data occupy a growing part of the field in many other disciplines. The book is intended as a text for master and advanced undergraduate courses. It may also be useful for PhD-students writing theses in empirical and applied economics and readers conducting empirical work on their own. The book attempts to take the reader gradually from simple models and methods in scalar (simple vector) notation to more complex models in matrix notation. A distinctive feature is that more attention is given to unbalanced panel data, the measurement error problem, random coefficient approaches, the interface between panel data and aggregation, and the interface between unbalanced panels and truncated and censored data sets. The 12 chapters are intended to be largely self-contained, although there is also natural progression. Most of the chapters contain commented examples based on genuine data, mainly taken from panel data applications to economics. Although the book, inter alia, through its use of examples, is aimed primarily at students of economics and econometrics, it may also be useful for readers in social sciences, psychology, and medicine, provided they have a sufficient background in statistics, notably basic regression analysis and elementary linear algebra.

Panel Data Models with Discrete Dependent Variables

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ISBN 13 :
Total Pages : 180 pages
Book Rating : 4.F/5 ( download)

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Book Synopsis Panel Data Models with Discrete Dependent Variables by : Edward Graham Johnson

Download or read book Panel Data Models with Discrete Dependent Variables written by Edward Graham Johnson and published by . This book was released on 2004 with total page 180 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Three Essays on Panel Data Models with Interactive and Unobserved Effects

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Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.4/5 (387 download)

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Book Synopsis Three Essays on Panel Data Models with Interactive and Unobserved Effects by : Nicholas Lynn Brown

Download or read book Three Essays on Panel Data Models with Interactive and Unobserved Effects written by Nicholas Lynn Brown and published by . This book was released on 2022 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Chapter 1: More Efficient Estimation of Multiplicative Panel Data Models in the Presence of Serial Correlation (with Jeffrey Wooldridge)We provide a systematic approach in obtaining an estimator asymptotically more efficient than the popular fixed effects Poisson (FEP) estimator for panel data models with multiplicative heterogeneity in the conditional mean. In particular, we derive the optimal instrumental variables under appealing `working' second moment assumptions that allow underdispersion, overdispersion, and general patterns of serial correlation. Because parameters in the optimal instruments must be estimated, we argue for combining our new moment conditions with those that define the FEP estimator to obtain a generalized method of moments (GMM) estimator no less efficient than the FEP estimator and the estimator using the new instruments. A simulation study shows that the GMM estimator behaves well in terms of bias, and it often delivers nontrivial efficiency gains -- even when the working second-moment assumptions fail.Chapter 2: Information equivalence among transformations of semiparametric nonlinear panel data modelsI consider transformations of nonlinear semiparametric mean functions which yield moment conditions for estimation. Such transformations are said to be information equivalent if they yield the same asymptotic efficiency bound. I first derive a unified theory of algebraic equivalence for moment conditions created by a given linear transformation. The main equivalence result states that under standard regularity conditions, transformations which create conditional moment restrictions in a given empirical setting need only to have an equal rank to reach the same efficiency bound. Example applications are considered, including nonlinear models with multiplicative heterogeneity and linear models with arbitrary unobserved factor structures.Chapter 3: Moment-based Estimation of Linear Panel Data Models with Factor-augmented ErrorsI consider linear panel data models with unobserved factor structures when the number of time periods is small relative to the number of cross-sectional units. I examine two popular methods of estimation: the first eliminates the factors with a parameterized quasi-long-differencing (QLD) transformation. The other, referred to as common correlated effects (CCE), uses the cross-sectional averages of the independent and response variables to project out the space spanned by the factors. I show that the classical CCE assumptions imply unused moment conditions which can be exploited by the QLD transformation to derive new linear estimators which weaken identifying assumptions and have desirable theoretical properties. I prove asymptotic normality of the linear QLD estimators under a heterogeneous slope model which allows for a tradeoff between identifying conditions. These estimators do not require the number of cross-sectional variables to be less than T-1, a strong restriction in fixed-$T$ CCE analysis. Finally, I investigate the effects of per-student expenditure on standardized test performance using data from the state of Michigan.

Dynamic Unobserved Effects Model for Continuous and Binary Response

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ISBN 13 :
Total Pages : 404 pages
Book Rating : 4.3/5 (129 download)

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Book Synopsis Dynamic Unobserved Effects Model for Continuous and Binary Response by : Chung-Jung Lee

Download or read book Dynamic Unobserved Effects Model for Continuous and Binary Response written by Chung-Jung Lee and published by . This book was released on 2000 with total page 404 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Identification and Estimation of Dynamic Binary Response Panel Data Models

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ISBN 13 :
Total Pages : 64 pages
Book Rating : 4.E/5 ( download)

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Book Synopsis Identification and Estimation of Dynamic Binary Response Panel Data Models by : Kenneth Young Chay

Download or read book Identification and Estimation of Dynamic Binary Response Panel Data Models written by Kenneth Young Chay and published by . This book was released on 1998 with total page 64 pages. Available in PDF, EPUB and Kindle. Book excerpt: