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KSOD 2430 - Quantitative methods

Type d'enseignement : Seminar

Semester : Spring 2019-2020

Number of hours : 24

Language of tuition : English

Pre-requisite

Quantitative methods 1, R programming summer school

Course Description

• Make students familiar with regression methods (theory and applications) • Learn techniques and limitations of different methods of empirical analysis • Treat large databases with representative probability samples • Know statistical tools and computer programming (R) • Present quantitative results in a synthetic way (oral and written) 1. Reminder semester 1 • The concept: Correlation vs. causality • Hypotheses and limits of the simple OLS model • Methodological challenges (omitted variable bias, heteroscedasticity, autocorrelation, multicollinearity, endogeneity) 2. Multiple linear and non-linear regression models and their interpretations (estimation equations, graphical presentations, squared terms and interaction terms) 3. Logit and probit regressions for binary and categorical variables, margins 4. Data types: Cross-section, time-series and panel data; macro and micro data 5. Fixed-effect models; Multi-level models

Teachers

  • GANAULT, Jeanne L. (doctorante contractuelle avec le GENES)
  • GREULICH, Angela (Professeur des universités)

Pedagogical format

Integrated method: combination of sociological concepts, statistical categorisation and empirical analysis to describe and understand sociologic and demographic phenomena • Apply a quantitative approach to study societal issues • Use statistical tools to measure socio-demographic dynamics • Use sociological concepts to make assumptions, to interpret and to relativize the quantitative results • Critical evaluation of data quality

Course validation

One individual written test in the middle of the semester, one analytical work to hand in at the end of the semester

Workload

Array

Required reading

  • Treiman D. J., 2009. – Quantitative Data Analysis. Doing Social Research to Test Ideas, San Francisco, Jossey-Bass.
  • Wooldridge J. F., 2012. – Introductory Econometrics: A Modern Approach, Mason (OH), South-Western.
  • Baltagi, B. H. (2008): “Econometric Analysis of Panel Data”. Fourth Edition. John Wiley & sons Ltd.