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KAFP 3435 - Policy Analysis and Policy Evaluation Level 2

Type d'enseignement : Lecture and tutorials

Semester : Autumn 2017-2018

Number of hours : 36

Language of tuition : English

Pre-requisite

Students who take this class should already have some basic statistical knowledge (descriptive statistics, inference, OLS regression model).

Course Description

The course focuses on quantitative methods for social sciences. After reviewing basic notions of statistical inference and the linear regression model, we will study multivariate models, the assumptions of linear regression models, models for qualitative dependent variables (logit, probit, ordinal and multinomial models), and methods of causal inference. The course combines lectures and computer-lab sessions. In the latter, students will learn how to implement various methods and concepts, using the statistical software Stata. Students will acquire the skills needed to conduct autonomously basic statistical analysis of social science data and to choose the appropriate statistical methods for their own data and research goals.

Teachers

LACHAT, Romain (Assistant Professor)

Pedagogical format

Lecture course with tutorials.

Course validation

Three homework assignments (worth 10% each), Midterm exam (30%), Final written exam (40%).

Workload

Each week, students will have readings and exercises to review the course content.

Required reading

Agresti, Alan, and Barbara Finlay (2009). Statistical Methods for the Social Sciences. Fourth edition. Upper Saddle River: Pearson Prentice Hall. (Selected chapters)

Additional required reading

Wooldridge, Jeffrey M. (2009). Introductory Econometrics: A Modern Approach. Mason: South Western.

Senior lecturers

  • SONNTAG, Jan F. (Etudiant doctorant - Ph.D. en Economie)
  • URVOY, Camille (Etudiante doctorante - Ph.D. en Economie)