Longitudinal and Panel Data

Longitudinal and Panel Data

Author: Edward W. Frees

Publisher: Cambridge University Press

Published: 2004-08-16

Total Pages: 492

ISBN-13: 9780521535380

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


Longitudinal and Panel Data

Longitudinal and Panel Data

Author:

Publisher:

Published: 2004

Total Pages: 467

ISBN-13: 9780511315695

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This focuses on models and data that arise from repeated observations of a cross-section of individuals, households or companies. These models have found important applications within business, economics, education, political science and other social science disciplines. The author introduces the foundations of longitudinal and panel data analysis at a level suitable for quantitatively oriented graduate social science students as well as individual researchers. He emphasizes mathematical and statistical fundamentals but also describes substantive applications from across the social sciences, showing the breadth and scope that these models enjoy. The applications are enhanced by real-world data sets and software programs in SAS and Stata.


Longitudinal Data Analysis

Longitudinal Data Analysis

Author: Garrett Fitzmaurice

Publisher: CRC Press

Published: 2008-08-11

Total Pages: 633

ISBN-13: 142001157X

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Although many books currently available describe statistical models and methods for analyzing longitudinal data, they do not highlight connections between various research threads in the statistical literature. Responding to this void, Longitudinal Data Analysis provides a clear, comprehensive, and unified overview of state-of-the-art theory


A Practical Guide to Using Panel Data

A Practical Guide to Using Panel Data

Author: Simonetta Longhi

Publisher: SAGE

Published: 2014-12-01

Total Pages: 345

ISBN-13: 1473911346

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This timely, thoughtful book provides a clear introduction to using panel data in research. It describes the different types of panel datasets commonly used for empirical analysis, and how to use them for cross sectional, panel, and event history analysis. Longhi and Nandi then guide the reader through the data management and estimation process, including the interpretation of the results and the preparation of the final output tables. Using existing data sets and structured as hands-on exercises, each chapter engages with practical issues associated with using data in research. These include: Data cleaning Data preparation Computation of descriptive statistics Using sample weights Choosing and implementing the right estimator Interpreting results Preparing final output tables Graphical representation Written by experienced authors this exciting textbook provides the practical tools needed to use panel data in research.


Applied Panel Data Analysis for Economic and Social Surveys

Applied Panel Data Analysis for Economic and Social Surveys

Author: Hans-Jürgen Andreß

Publisher: Springer Science & Business Media

Published: 2013-01-24

Total Pages: 338

ISBN-13: 3642329144

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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. ​


Applied Longitudinal Data Analysis

Applied Longitudinal Data Analysis

Author: Judith D. Singer

Publisher: Oxford University Press

Published: 2003-03-27

Total Pages: 672

ISBN-13: 9780195152968

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By charting changes over time and investigating whether and when events occur, researchers reveal the temporal rhythms of our lives.


Panel Data Econometrics

Panel Data Econometrics

Author: Mike Tsionas

Publisher: Academic Press

Published: 2019-06-19

Total Pages: 434

ISBN-13: 0128144319

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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


Panel Data Econometrics with R

Panel Data Econometrics with R

Author: Yves Croissant

Publisher: John Wiley & Sons

Published: 2018-08-10

Total Pages: 435

ISBN-13: 1118949188

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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.


Longitudinal Structural Equation Modeling

Longitudinal Structural Equation Modeling

Author: Todd D. Little

Publisher: Guilford Press

Published: 2013-02-26

Total Pages: 411

ISBN-13: 1462510272

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This book has been replaced by Longitudinal Structural Equation Modeling, Second Edition, ISBN 978-1-4625-5314-3.


Using R for Principles of Econometrics

Using R for Principles of Econometrics

Author: Constantin Colonescu

Publisher: Lulu.com

Published: 2017-12-28

Total Pages: 278

ISBN-13: 1387473611

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This is a beginner's guide to applied econometrics using the free statistics software R. It provides and explains R solutions to most of the examples in 'Principles of Econometrics' by Hill, Griffiths, and Lim, fourth edition. 'Using R for Principles of Econometrics' requires no previous knowledge in econometrics or R programming, but elementary notions of statistics are helpful.