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Classics and cur¿rents of social stratification (SPS-REWE-STRA-22)

SPS-REWE-STRA-22


Department SPS
Course category SPS Research Seminar
Course type Seminar
Academic year 2022-2023
Term 1ST TERM
Credits 20 (EUI SPS Department)
Professors
Contact Rzemieniecka, Monika
  Course materials
Sessions

06/10/2022 9:00-11:00 @ Seminar Room 2, Badia Fiesolana

13/10/2022 9:00-11:00 @ Seminar Room 2, Badia Fiesolana

21/10/2022 9:00-11:00 @ Seminar Room 2, Badia Fiesolana

03/11/2022 9:00-11:00 @ Seminar Room 2, Badia Fiesolana

10/11/2022 9:00-11:00 @ Seminar Room 2, Badia Fiesolana

17/11/2022 9:00-11:00 @ Seminar Room 2, Badia Fiesolana

24/11/2022 9:00-11:00 @ Seminar Room 2, Badia Fiesolana

01/12/2022 9:00-11:00 @ Seminar Room 2, Badia Fiesolana

08/12/2022 9:00-11:00 @ Seminar Room 2, Badia Fiesolana

15/12/2022 9:00-11:00 @ Seminar Room 2, Badia Fiesolana

Purpose

Many social-scientific data have a so-called ‘nested structure’: observations are clustered within a larger observed unit. Examples are students in school classes in a large dataset with different students and schools, individuals within countries in cross-national survey data, or repeated observations when individuals are followed through time in a prospective panel dataset. In this seminar students learn about various regression models that allows to deal with such a data structure. Research questions that may be answered using such data are: how are individual (e.g. education) and country characteristics (e.g. income inequality in a society) related to individual opinions and preferences? To what extent does school performance depend on social background, and do school characteristics (e.g. the quality of teachers) matter as well? To what extent do life events (getting married, getting children) affect the labour market opportunities of men and women if we follow them through time? The underlying statistical models to answer these questions are very similar, because they often include both fixed and random effects.

The focus is on understanding the statistical models (including their weaknesses), applying such models in Stata, and interpreting research papers using such models.

Some knowledge on linear regression models is desirable as entry level for this seminar.
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