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:
Computation of descriptive statistics
Using sample weights
Choosing and implementing the right estimator
Preparing final output tables
Written by experienced authors this exciting textbook provides the practical tools needed to use panel data in research.
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.
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