Full Description
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.
Contents
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
