• Graduate Programs
  • Research
  • Browse our Courses
  • Events
    • Events Calendar
    • Events Archive
    • Summer School
      • Applied Public Policy Evaluation
      • Deep Learning
      • Development Economics
      • Economics of Blockchain and Digital Currencies
      • Economics of Climate Change
      • The Economics of Crime
      • Foundations of Machine Learning with Applications in Python
      • From Preference to Choice: The Economic Theory of Decision-Making
      • Inequalities in Health and Healthcare
      • Marketing Research with Purpose
      • Markets with Frictions
      • Modern Toolbox for Spatial and Functional Data
      • Sustainable Finance
      • Tuition Fees and Payment
      • Business Data Science Summer School Program
    • Tinbergen Institute Lectures
    • 2026 Tinbergen Institute Opening Conference
    • Annual Tinbergen Institute Conference
  • News
  • Summer School
    • Applied Public Policy Evaluation
    • Deep Learning
    • Development Economics
    • Economics of Blockchain and Digital Currencies
    • Economics of Climate Change
    • The Economics of Crime
    • Foundations of Machine Learning with Applications in Python
    • From Preference to Choice: The Economic Theory of Decision-Making
    • Inequalities in Health and Healthcare
    • Marketing Research with Purpose
    • Markets with Frictions
    • Modern Toolbox for Spatial and Functional Data
    • Sustainable Finance
    • Tuition Fees and Payment
  • Alumni

Participants and Admission Requirements

Participants

The summer school welcomes second year (research) master students, PhD students, post-docs, and professionals from a wide variety of fields (e.g. macro, applied micro, industrial organization, international trade, labor, empirical finance, regional and urban) who are interested in learning state-of-the art methods for (cross-country) firm-level panel data analysis.

Admission requirements

A formal background in statistics or econometrics, as well as macro and micro is required from students (at the level of first year courses in a graduate school PhD program in economics).

Preparation

Before each class, students are expected to have read the required papers on the syllabus. Each day will have two lectures and two tutorials. The tutorials will be address technical aspects (computer set-up, data cleaning and handling) as well as provide time for hands-on practice with empirical assignments.