Event history analysis in social sciences

Teacher(s)

Bocquier Philippe;

Language

English

Content

This course is a continuation of the course Quantitative Methods in Social Sciences. The focus is on longitudinal analysis. The objectives are:
- To learn the relevant tools to analyse biographical surveys.
- To be able to understand and use the scientific literature using these methods.
- To be autonomous in the use of data analysis software.
- To be able to select a data analysis strategy in relation to the relevant research questions and to present and interpret the results correctly.
6 major themes:
- Event History Analysis: an introduction.
- The format of the biographical data
- Conceptualization of time and event, truncation and censoring, questions to answer before any event history analysis
- Extinction tables, Kaplan-Meier curves, cross-sectional indices
- Semi-parametric model with proportional hazards (Cox)
- Competitive Risk Model (Fine & Gray)

Teaching methods

The course follows the principle of flipped classrooms, combined with the principle of just-in-time teaching for some instances.
Videos on theoretical issues will be watched by the students, who will then answer questions. The answers to these questions will be discussed face-to-face.
Other videos on more practical issues will also be viewed, but usually in class, in order to carry out practical exercises (TP: practicals).

Evaluation methods

The 10 tasks are scored on 2 points and must be given to the professor via Moodle at the indicated deadlines, 1 to 3 days before the course, each day of delay reducing by one point the note.
The 4 assignments are rated on 3 pts and must be delivered via Moodle at the following deadlines, each day of delay reduces the score by one point.
The oral presentation PowerPoint is to be returned (assignment 5: 3 pts) and the oral presentations will take place in the presence of all the students. Evaluation Criteria (on 10 pts):
- Country Presentation, Data and Methods (2 pts)
- Presentation descriptive analysis results (3 pts)
- Presentation of first results of in-depth analysis (4 points)
- General form and answers to questions (1 pt)
Individual written work (rated out of 55): to be submitted to the incumbent via i-campus AND in hard copy by Friday, January 4, 2019. Evaluation Criteria:
- Presentation of the demographic situation of the country (5 pts)
- Sources and methods used (10 pts)
- Descriptive analysis results of biographies (10 pts)
- Results of in-depth analysis of biographies (20 pts)
- Conclusions (10 pts)
- Presentation graphs, tables, language, bibliography (bonus 2 pts)

Other information

A good knowledge of Stata software or other statistical processing software is essential.

Online resources

Videos (screencast), computer programs (Stata) and other materials are available on MoodleUCL.

Bibliography

• Les vidéos (screencast), programmes informatiques (Stata) et autres matériaux sont disponibles sur MoodleUCL.

Reed, H.E. 2012. Moving Across Boundaries: Migration in South Africa, 1950–2000. Demography 50(1):71-95.
Clark, S. & C. Cotton. 2013. Transitions to adulthood in urban Kenya: A focus on adolescent migrants. Demographic Research 28(37):1053-1092.
Widmer, E. & Ritschard, G. 2009. The de-standardization of the life course: Are men and women equal? Advances in Life Course Research 14:28-39.
Gutierrez-Demènech M. 2008. The impact of the labour market on the timing of marriage and births in Spain. Journal of Population Economics 21:83-110.
Kamrul Islam, M., Gerdtham, U.-G., Gullberg, B., Lindström, M. & Merlo, J., (2008), Social capital externalities and mortality in Sweden. Economics and Human Biology 6, 19-42.
Manuel: Mario Cleves, William W. Gould, Roberto G. Gutierrez, and Yulia Marchenko (2008) An Introduction to Survival Analysis Using Stata, 2nd Edition, Publisher: Stata Press

Teaching materials

• Les vidéos (screencast), programmes informatiques (Stata) et autres matériaux sont disponibles sur MoodleUCL.

Faculty or entity

PSAD