Accueil > Policy analysis and policy evaluation level 2

KAFP 3435 - Policy Analysis and Policy Evaluation advanced

Type d'enseignement : Lecture and tutorials

Semester : Autumn 2018-2019

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 G. (Assistant professor in political behaviour at Cevipof, Sciences Po)
  • MOUGIN, Elisa (Doctorante)

Pedagogical format

Sessions will be held in a lecture format, including many examples and applications. Exercises will be distributed each week to give students the opportunity to revise.

Course validation

Two homework assignments (worth 12.5% each), Midterm exam (25%), Final written exam (50%).

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