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.
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Each chapter in this introduction features existing data sets and hands-on exercises to present readers with all the practical tools needed to successfully use panel data in their research
PART ONE: DATA PREPARATION IN MICRO PANEL SURVEYS Why Panel Surveys Different Types of Panel Surveys A First Look at the Data Using Stata Preparing the Data for Longitudinal Analysis Working with Multiple Datasets Identifying Household Members and Matching Information of Spouses and Partners PART TWO: ANALYSIS OF CROSS-SECTION AND PANEL DATA Sample Design, Non-response and Weights Analysis of Cross-Section Data Analysis of Panel Data for Continuous Dependent Variables Analysis of Panel Data for Discrete Dependent Variables PART THREE: EVENT HISTORY: DATA PREPARATION AND ANALYSIS Introduction to Duration Analysis How to Use Retrospective History Data Files: an Example Analysis of Event History Data PART FOUR: PRESENTING YOUR RESULTS Producing Output Tables and Graphs
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This book is exactly what I have been looking for in my teaching, as a valuable guide for graduate and advanced undergraduate students who are thinking of tackling panel data but feel overwhelmed by how complicated it seems compared to working with standard cross-sectional datasets. The authors nicely combine discussion of general statistical principles with lots of example Stata code demonstrating many types of analysis. Critically, the book tells students and researchers not only how to carry out analysis but shows how to prepare and manage panel data.
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Produktdetaljer

ISBN
9781446210871
Publisert
2014-12-09
Utgiver
Vendor
SAGE Publications Ltd
Vekt
590 gr
Høyde
242 mm
Bredde
170 mm
Aldersnivå
UP, P, 05, 06
Språk
Product language
Engelsk
Format
Product format
Heftet
Antall sider
344

Biographical note

Simonetta Longhi is Research Fellow at the Institute for Social and Economic Research at the University of Essex.  She is also Research Fellow at the Institute for the Study of Labour (IZA) and Research Affiliate at the Centre for Research and Analysis of Migration (CReAM).  Her research interests are on migration and labour economics and she has published various journal articles using individual and household datasets.  For many years she has taught courses on how to analyse the British Household Panel Survey and the Understanding Society datasets, and she is currently teaching a course on applications of data analysis. Alita Nandi is Research Fellow at the Institute for Social and Economic Research.  Her research interests include issues of ethnicity, identity, personality, family formation and dissolution. She has conducted empirical research in these areas using cohort and household panel datasets and published in various journals. She has been part of the Ethnicity Strand of Understanding Society since 2007. For the last few years she has taught courses on applications of data analysis and on how to use and analyse the British Household Panel Survey and Understanding Society datasets.