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 Written by experienced authors this exciting textbook provides the practical tools needed to use panel data in 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
