Lugano, Switzerland

Applied Panel Data Analysis

when 22 August 2022 - 26 August 2022
language English
duration 1 week
fee CHF 700

Panel data are repeated measures of a large number of units, e.g., individuals or companies. Such longitudinal data is typically collected through surveys, but panel data can also come from other data sources, such as administrative records. The longitudinal nature of the data makes it possible to address research questions, that cannot be analysed with cross-sectional data and can be used to approach causality. However, panel data have a more complex structure and require additional skills for data preparation and data analysis.

In this course, we provide the skills to prepare panel data for analysis and apply regression models with panel data. We will put emphasis on understanding the mechanism behind the different approaches, focussing on their advantages and limitations such that participants will be able to choose and apply the appropriate model.

Workshop contents

This workshop provides an introduction to the structure, data management, and analysis of panel data. Participants will learn how to prepare panel data for different types of research questions specific to this type of data. This includes creating wide data files, long data files, spells, and transitions that can be used for descriptive statistics and for regression models.
For data analysis, we focus on different basic regression models, namely pooled OLS, fixed effects, random effects, and first differences. The aim of this workshop is to understand the within perspective of panel data as opposed to the between perspective of cross-sectional data and to grasp the mechanics of these models.

For careful data analysis, it is important to understand how data has been collected. For panel, difficulties arise, among others, from following of units over time, non-response and attrition, and measurement changes over time (e.g. change of survey modes). We will use real data in the course and discuss the implications of these issues for data analysis. Examples are mainly from the Swiss Household Panel (SHP), which contains data over more than 20 years, covers topics from different social science disciplines and offers different kinds of data files (individual, household, one-time collected information, events). We will also discuss other types of panel data, that have different numbers and types of levels (households, schools, companies) and measurement points.

In the morning sessions, we will present theory and applications and discuss how to do research with panel data. In the afternoon sessions, participants will work on practical exercises either with data prepared by the instructors from the SHP or with panel data of their own choice. One of the instructors is available to discuss and solve individual problems.

Course leader

Oliver Lipps & Ursina Kuhn, FORS

Target group

Prerequisites

We will use the Stata software and assume a basic knowledge of Stata with cross-sectional data. For students not sufficiently proficient in Stata we offer a two-day preparatory online course shortly before the workshop introducing Stata. We will also provide syntax for R users for data preparation and to apply models treated in the course. However, we can only give limited advice for programming in R.

Course aim

This workshop provides an introduction to the structure, data management, and analysis of panel data. Participants will learn how to prepare panel data for different types of research questions specific to this type of data. This includes creating wide data files, long data files, spells, and transitions that can be used for descriptive statistics and for regression models.

Credits info

The Summer School cannot grant credits. We only deliver a Certificate of attendance, i.e. we certify your presence

If you consider using Summer School workshops to obtain credits (ECTS), you will have to investigate at your home institution (contact the person/institute responsible for your degree) to find out whether they recognize the Summer School, how many credits can be earned from a workshop/course with roughly 35 hours of teaching, no graded work, and no exams.

Make sure to investigate this matter before registering, if this is important to you.

Fee info

CHF 700: Reduced fee: 700 Swiss Francs per weekly workshop for students (requires proof of student status).
These fees includes also participation in one of the preliminary workshops (two-day workshop preceding the Summer School).
To qualify for the reduced fee, you are required to send a copy of an official document that certifies your current student status or a letter from your supervisor stating your actual position as a doctoral or postdoctoral student. Send this letter/document by e-mail to methodssummerschool@usi.ch.
CHF 1100: Normal fee: 1100 Swiss Francs per weekly workshop for all others.
These fees includes also participation in one of the preliminary workshops (two-day workshop preceding the Summer School).

Scholarships

As the Summer School is financed through participant’s fees alone and has no funds of its own, it cannot offer any scholarship, grants or financial aid.