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Ambre Elsas-Nicolle
I am a tenured Assistant Professor at Mines Paris – PSL since September 2025. I am affiliated to the Centre for Industrial Economics (CERNA).
My research primarily focuses on the demand and supply sides in network and cultural industries. I use structural approaches and observational data to model consumer behavior. I also use various reduced-form approaches to comment on the development of prices and the variety of products.
Prior to joining Les Mines, I was an Assistant Prof. (Akademische Rätin) at the ISTO at the University of Munich (2022-2025). I received a Ph.D. in Economics from the University of Montpellier (UM), in 2018.
Research
Research
My research primarily focuses on the demand and supply sides in network and cultural industries. I use structural approaches and observational data to model consumer behavior. I also use various reduced-form approaches to comment on the development of prices and variety of products in markets subject to an evolving competitive, regulatory, and technological environment.
Published work [and Empirical Methods used]
Strategic Confusopoly: Evidence from the UK mobile market, joint with Christos Genakos and Tobias Kretschmer. Strategy Science. [Hedonic Price Regressions, Hazard Rate Models]
Displacement and complementarity in the recorded music industry: Evidence from France (2023), joint with Marc Ivaldi, Frank Verboven, and Jiekai Zhang. Journal of Cultural Economics, 1-52. [Panel regressions and Instrumental Variables]
Estimating consumer inertia in repeated choices of smartphones (2021), joint with Lukasz Grzybowski. Journal of Industrial Economics, 69: 33-82. [Discrete choice models, Random Coefficients]
Assessing fifteen years of State Aid for broadband networks in the European Union: a quantitative analysis (2020), joint with Marc Bourreau and Richard Feasey. Telecommunications Policy, 44(7), 101974. [Descriptive statistics]
Impact of competition, investment and regulation on prices of mobile services: Evidence from France (2018), joint with Lukasz Grzybowski and Christine Zulehner. Economic Inquiry, 56: 1322-1345. [Hedonic Price Regressions, Weighted Least Squares]
Working papers
Competition and value capture in platform markets: Implications for complementor strategy, joint with Johannes Loh. R&R Strategic Management Journal. [CEM, Panel regressions]
Are consumers myopic? Evidence from handset and mobile services choices. R&R Journal of Industrial Economics [Discrete choice models, Random Coefficients]
The impact of trade wars on uninvolved countries: Evidence from the smartphone market [DiD, DiD with Spillovers]
Competition in the Gaming Industry & All-You-Can-Play Services, joint with Johannes Loh [Panel Regressions, Staggered DiD].
Teaching
Teaching
At the PhD level
Quantitative Methods for Causal Inference (Lectures, PhD level, LMU Munich, Winter Semester 2024/2025)
At the Master's level
Managerial Economics (2023), KU Leuven. Lectures (Undergraduate level). Developed and taught.
New products (2022), LMU. Lectures (Graduate level). Munich School of Management, LMU. Joint with Tobias Kretschmer.
Panel Data Econometrics (2021, 2022), ENSAI. Graduate level. Developed and taught.
Full course for students enrolled in “Data Science for Economic & Health Modeling” and “Data Science & Quantitative Marketing” tracks (24 hours).
Short course for the students enrolled in “Mastère Spécialisé® Data Science pour la Connaissance Client” (12 hours).
Digital Economics (2021, 2022), ENSAI. Graduate-level (12 hours). Developed and taught with Yutec Sun.
Discrete Choice Models (2022), ENSAI. Graduate-level (5 hours). Developed and taught.
Empirics of Organizations (2018, 2020, 2022, 2023), Munich School of Management, LMU Munich, Germany. Graduate level. Developed and taught with Pooyan Khashabi (2018, 2020) and Joy Wu (’22, ’23)
At the Bachelor's level
Management and Economics of Platforms (Lectures, joint with Tobias Kretschmer, LMU Munich, 2019, 2020, 2023, 2024, 2025 ).
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