Causal Analysis With Panel Data

Author : Steven E. Finkel
Publisher : SAGE
Page : 108 pages
File Size : 54,8 Mb
Release : 1995-01-17
Category : Medical
ISBN : 0803938969

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Causal Analysis with Panel Data by Steven E. Finkel Pdf

Panel data, which consist of information gathered from the same individuals or units at several different points in time, are commonly used in the social sciences to test theories of individual and social change. This book provides an overview of models that are appropriate for the analysis of panel data, focusing specifically on the area where panels offer major advantages over cross-sectional research designs: the analysis of causal interrelationships among variables. Without "painting" panel data as a cure all for the problems of causal inference in nonexperimental research, the author shows how panel data offer multiple ways of strengthening the causal inference process. In addition, he shows how to estimate models that contain a variety of lag specifications, reciprocal effects, and imperfectly measured variables. Appropriate for readers who are familiar with multiple regression analysis and causal modeling, this book will offer readers the highlights of developments in this technique from diverse disciplines to analytic traditions.

Author : Steven E. Finkel
Publisher : Unknown
Page : 98 pages
File Size : 42,8 Mb
Release : 1995
Category : Causation
ISBN : LCCN:00002300

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Causal Analysis with Panel Data by Steven E. Finkel Pdf

Panel data, which consist of information gathered from the same individuals or units at several different points in time, are commonly used in the social sciences to test theories of individual and social change. This book provides an overview of models that are appropriate for the analysis of panel data, focusing specifically on the area where panels offer major advantages over cross-sectional research designs: the analysis of causal interrelationships among variables. Without "painting" panel data as a cure all for the problems of causal inference in nonexperimental research, the author shows how panel data offer multiple ways of strengthening the causal inference process. In addition, he shows how to estimate models that contain a variety of lag specifications, reciprocal effects, and imperfectly measured variables. Appropriate for readers who are familiar with multiple regression analysis and causal modeling, this book will offer readers the highlights of developments in this technique from diverse disciplines to analytic traditions.

Author : Henning Best,Christof Wolf
Publisher : SAGE
Page : 577 pages
File Size : 50,8 Mb
Release : 2013-12-20
Category : Social Science
ISBN : 9781473914384

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The SAGE Handbook of Regression Analysis and Causal Inference by Henning Best,Christof Wolf Pdf

′The editors of the new SAGE Handbook of Regression Analysis and Causal Inference have assembled a wide-ranging, high-quality, and timely collection of articles on topics of central importance to quantitative social research, many written by leaders in the field. Everyone engaged in statistical analysis of social-science data will find something of interest in this book.′ - John Fox, Professor, Department of Sociology, McMaster University ′The authors do a great job in explaining the various statistical methods in a clear and simple way - focussing on fundamental understanding, interpretation of results, and practical application - yet being precise in their exposition.′ - Ben Jann, Executive Director, Institute of Sociology, University of Bern ′Best and Wolf have put together a powerful collection, especially valuable in its separate discussions of uses for both cross-sectional and panel data analysis.′ -Tom Smith, Senior Fellow, NORC, University of Chicago Edited and written by a team of leading international social scientists, this Handbook provides a comprehensive introduction to multivariate methods. The Handbook focuses on regression analysis of cross-sectional and longitudinal data with an emphasis on causal analysis, thereby covering a large number of different techniques including selection models, complex samples, and regression discontinuities. Each Part starts with a non-mathematical introduction to the method covered in that section, giving readers a basic knowledge of the method’s logic, scope and unique features. Next, the mathematical and statistical basis of each method is presented along with advanced aspects. Using real-world data from the European Social Survey (ESS) and the Socio-Economic Panel (GSOEP), the book provides a comprehensive discussion of each method’s application, making this an ideal text for PhD students and researchers embarking on their own data analysis.

Author : Jeffrey M. Wooldridge
Publisher : MIT Press
Page : 1095 pages
File Size : 48,7 Mb
Release : 2010-10-01
Category : Business & Economics
ISBN : 9780262232586

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Econometric Analysis of Cross Section and Panel Data, second edition by Jeffrey M. Wooldridge Pdf

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.

Author : Hans-Jürgen Andreß,Katrin Golsch,Alexander W. Schmidt
Publisher : Springer Science & Business Media
Page : 338 pages
File Size : 51,6 Mb
Release : 2013-01-24
Category : Social Science
ISBN : 9783642329142

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Applied Panel Data Analysis for Economic and Social Surveys by Hans-Jürgen Andreß,Katrin Golsch,Alexander W. Schmidt Pdf

Many economic and social surveys are designed as panel studies, which provide important data for describing social changes and testing causal relations between social phenomena. This textbook shows how to manage, describe, and model these kinds of data. It presents models for continuous and categorical dependent variables, focusing either on the level of these variables at different points in time or on their change over time. It covers fixed and random effects models, models for change scores and event history models. All statistical methods are explained in an application-centered style using research examples from scholarly journals, which can be replicated by the reader through data provided on the accompanying website. As all models are compared to each other, it provides valuable assistance with choosing the right model in applied research. The textbook is directed at master and doctoral students as well as applied researchers in the social sciences, psychology, business administration and economics. Readers should be familiar with linear regression and have a good understanding of ordinary least squares estimation. ​

Author : I. Gusti Ngurah Agung
Publisher : John Wiley & Sons
Page : 544 pages
File Size : 54,8 Mb
Release : 2013-12-31
Category : Mathematics
ISBN : 9781118715567

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Panel Data Analysis using EViews by I. Gusti Ngurah Agung Pdf

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.

Author : Edward W. Frees
Publisher : Cambridge University Press
Page : 492 pages
File Size : 49,9 Mb
Release : 2004-08-16
Category : Business & Economics
ISBN : 0521535387

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Longitudinal and Panel Data by Edward W. Frees Pdf

An introduction to foundations and applications for quantitatively oriented graduate social-science students and individual researchers.

Author : Uwe Engel,Jost Reinecke
Publisher : Walter de Gruyter
Page : 308 pages
File Size : 41,8 Mb
Release : 2012-05-07
Category : Social Science
ISBN : 9783110824452

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Analysis of Change by Uwe Engel,Jost Reinecke Pdf

Author : Scott Cunningham
Publisher : Yale University Press
Page : 585 pages
File Size : 50,8 Mb
Release : 2021-01-26
Category : Business & Economics
ISBN : 9780300251685

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Causal Inference by Scott Cunningham Pdf

An accessible, contemporary introduction to the methods for determining cause and effect in the social sciences "Causation versus correlation has been the basis of arguments--economic and otherwise--since the beginning of time. Causal Inference: The Mixtape uses legit real-world examples that I found genuinely thought-provoking. It's rare that a book prompts readers to expand their outlook; this one did for me."--Marvin Young (Young MC) Causal inference encompasses the tools that allow social scientists to determine what causes what. In a messy world, causal inference is what helps establish the causes and effects of the actions being studied--for example, the impact (or lack thereof) of increases in the minimum wage on employment, the effects of early childhood education on incarceration later in life, or the influence on economic growth of introducing malaria nets in developing regions. Scott Cunningham introduces students and practitioners to the methods necessary to arrive at meaningful answers to the questions of causation, using a range of modeling techniques and coding instructions for both the R and the Stata programming languages.

Author : Gábor Békés,Gábor Kézdi
Publisher : Cambridge University Press
Page : 741 pages
File Size : 55,7 Mb
Release : 2021-05-06
Category : Business & Economics
ISBN : 9781108483018

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Data Analysis for Business, Economics, and Policy by Gábor Békés,Gábor Kézdi Pdf

A comprehensive textbook on data analysis for business, applied economics and public policy that uses case studies with real-world data.

Author : Mike Tsionas
Publisher : Academic Press
Page : 432 pages
File Size : 49,6 Mb
Release : 2019-06-19
Category : Business & Economics
ISBN : 9780128144312

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Panel Data Econometrics by Mike Tsionas Pdf

Panel Data Econometrics: Theory introduces econometric modelling. Written by experts from diverse disciplines, the volume uses longitudinal datasets to illuminate applications for a variety of fields, such as banking, financial markets, tourism and transportation, auctions, and experimental economics. Contributors emphasize techniques and applications, and they accompany their explanations with case studies, empirical exercises and supplementary code in R. They also address panel data analysis in the context of productivity and efficiency analysis, where some of the most interesting applications and advancements have recently been made. Provides a vast array of empirical applications useful to practitioners from different application environments Accompanied by extensive case studies and empirical exercises Includes empirical chapters accompanied by supplementary code in R, helping researchers replicate findings Represents an accessible resource for diverse industries, including health, transportation, tourism, economic growth, and banking, where researchers are not always econometrics experts

Author : Cheng Hsiao
Publisher : Cambridge University Press
Page : 539 pages
File Size : 49,6 Mb
Release : 2022-07-07
Category : Business & Economics
ISBN : 9781316512104

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Analysis of Panel Data by Cheng Hsiao Pdf

A comprehensive introduction of fundamental panel data methodologies.

Author : Lawrence R. James,Stanley A. Mulaik,Jeanne M. Brett
Publisher : SAGE Publications, Incorporated
Page : 184 pages
File Size : 42,8 Mb
Release : 1982-10
Category : Business & Economics
ISBN : UCAL:B4353623

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Causal Analysis by Lawrence R. James,Stanley A. Mulaik,Jeanne M. Brett Pdf

This book focuses specifically on confirmatory analysis - a quantitative technique used to illuminate causal relationships among organizational phenomena. The authors outline the conditions that must be met if causal inferences are to be drawn from nonexperimental data, and offer new tests for determining whether data meet those conditions. While analytic models and techniques of confirmatory analysis are stressed here, the authors also emphasize the importance of strong, well-developed theory as a prerequisite to the appropriate application of these powerful (but easily misused) tools.

Author : Gregory B. Markus
Publisher : SAGE
Page : 76 pages
File Size : 46,5 Mb
Release : 1979
Category : Reference
ISBN : 0803913729

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Analyzing Panel Data by Gregory B. Markus Pdf

Discusses an array of techniques for the analysis of data collected on the same units of analysis (the "panel") at two or more points in time.

Author : Paul D. Allison
Publisher : SAGE Publications
Page : 136 pages
File Size : 54,5 Mb
Release : 2009-04-22
Category : Social Science
ISBN : 9781483389271

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Fixed Effects Regression Models by Paul D. Allison Pdf

This book demonstrates how to estimate and interpret fixed-effects models in a variety of different modeling contexts: linear models, logistic models, Poisson models, Cox regression models, and structural equation models. Both advantages and disadvantages of fixed-effects models will be considered, along with detailed comparisons with random-effects models. Written at a level appropriate for anyone who has taken a year of statistics, the book is appropriate as a supplement for graduate courses in regression or linear regression as well as an aid to researchers who have repeated measures or cross-sectional data. Learn more about "The Little Green Book" - QASS Series! Click Here