Alita Nandi – författare

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.

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.

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.

This book presents a thorough examination of how the COVID-19 pandemic impacted social life across four major European countries—France, Germany, Italy, and the UK. Drawing on high-quality longitudinal data, it investigates how personal, work, and political lives evolved during and after the pandemic, with particular focus on inequalities based on gender, age, and socio-economic status. The book offers unique insights into both short-term disruptions and longer-term resilience in society, highlighting changes in remote work, family life, and mental health. The book will appeal to scholars and students of sociology, political science, demography, and social policy seeking to understand the pandemic’s complex social consequences.