Jean-Baptiste Guiffard

Postdoctoral Researcher
CREST (Télécom Paris, Institut Polytechnique de Paris)

📧 guiffard@telecom-paris.fr

📍 Telecom-Paris, Departement SES, 19 place Marguerite Perey, 91120, Palaiseau, France

🔗 GitHub | LinkedIn | Google Scholar

Home Page | Curriculum Vitae | Research | Teaching | AuToMat Seminar

Jean-Baptiste Guiffard - Teaching

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Teaching 2025-2026

Work in progress

Archives

📊 Quantitative Methods & Econometrics

• Applied Econometrics (École Polytechnique, M1): A course focused on causal inference in social sciences. Topics include RCTs, IVs, RDD, diff-in-diff, event-study, matching, and synthetic control. I lead tutorials based on critical reading.
  Course Materials

  • Synapses of the course
  • Slides of Introduction
• Applied Econometrics (IEDES, Paris 1 Panthéon-Sorbonne M1): Regression techniques with a focus on nonlinearities, interaction effects, heteroskedasticity, and count/discrete choice models. The course includes theoretical sessions and seminars using R.
  Course Materials

  • Courses:
  • Review of Basics I
  • Review of Basics II
  • Heteroscedasticity
  • The LPM, probit, logit models
  • Seminars:
  • TD 1
  • TD 2
  • TD 3
  • Ressources:
  • Wooldridge, J. M. (2012). Introductory econometrics a modern approach.
  • Caffo, B. (2015). Regression models for data science in R. A companion book for the Coursera Regression Models class.
  • Jean-François Bickel. Les effets d’interaction.
• Collection and analysis of quantitative and qualitative data (UFTAM, M2): Course on research design, survey techniques, and mixed data analysis. Includes a final empirical project using R.

🌍 Development Economics & Policy

• Development Measurement (IEDES, M1): Covers poverty, inequality, and well-being indicators; measurement issues and aggregation/comparison methods.

• Development Economics (IEDES, M1): TDs covering core theories, development aid, and public policy.

• Conferences on policy and project in development (IEDES, M2): A professionalization-oriented course involving guest talks from alumni and practitioners from institutions like the World Bank, AFD, OECD, and NGOs.

📋 Data Science & Replication

• Climate and Data (IEDES, M2): Teaching R and QGIS for climate and development data analysis. Includes data scraping, visualization, and geospatial mapping.
  Course Materials

  • Courses:
  • The Basics of R / Manipulating dataset with the DPLYR package
  • Graphic representations with GGPLOT
  • Making maps with R
  • Web scraping with R
  • Extracting and analyzing textual data using R
  • Training:
  • Github repository - Training
  • Github repository - Introduction to R
  • Resources:
  • Cheatsheet Base R
  • Cheatsheet DPLYR and TIDYR R
  • Cheatsheet GGPLOT R
  • Github repository - Spatial Data Workshop 2023

• Data Exploration and Modelling (IEDES, M1): STATA-based analysis of African firm survey data, focusing on gender wage inequality and labor discrimination.

• Tutored Projects in Development Economics (IEDES, M2): Replication of the paper “This Mine is Mine! How Minerals Fuel Conflicts in Africa” (Berman et al., 2017) using R and STATA. Covers geospatial data, modeling, reproducibility, and empirical presentation skills.

  Course Materials

  • Training:
  • Github repository - Training