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Andreea ENACHE's HDR September 18th, 2026

Published on 18 September 2026

Andreea ENACHE will defend her HDR (Habilitation à Diriger des Recherches) on Friday 18 September

Andreea ENACHE will defend her HDR (Habilitation à Diriger des Recherches) on Friday 18 September at 16:00, by TEAMS

"Essais en économétrie structurelle et organisation industrielle"

To attend the conference, please contact the doctoral school.

Memberships are:

  • Pierre DUBOIS: : Professor in Economics, TSE-R, supervisor
  • Elie TAMER: Professor in Economics, Harvard University Rapporteur
  • Philipp SCHMIDT-DENGLER : Professor in Economics, University of Vienna Rapporteur
  • Maria Ana VITORINO: Associate Professor in Marketing, INSEAD Rapporteure
  • Marc BOURREAU:Professor in Economics,, Telecom, Paris Examinateur
  • Jean-Pierre FLORENS, Professor Emeritus, TSE-R, Examinateur

Abstract

This HDR thesis brings together a body of research at the intersection of structural econometrics and industrial organization, with a particular focus on developing new methods to analyse empirical games of incomplete information and applying these tools to understand a range of markets—including auction and procurement markets, digital markets, pharmaceutical and healthcare markets, and cultural markets.

My work spans three interconnected research programs: (I) structural econometric methods for analysing markets with asymmetric information, (II) pricing, competition and incentives, and (III) structural demand estimation. A unifying thread across these areas is the focus on how information asymmetries, market structure, and market design shape economic outcomes and welfare.

The first program is primarily methodological: it develops quantile-based tools that recover unobserved heterogeneity — private values, costs, types — from the strategic behaviour that this heterogeneity generates.

The second program is primarily applied: it studies how pricing instruments and payment design — including platform fees, in-app price tiers, reimbursement schemes, and prospectively set prices — shape the behaviour of firms and consumers in digital and publicly funded markets.

The third program uses structural demand estimation to revisit a classic question in industrial organization: to what extent does the entry of new products expand total demand or divert demand from existing products in markets with highly differentiated products?

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Applications are open : Bachelor of Science, Master of Science, Master in Finance and Data Science

Education

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