Publications

Frick, K. M., Hazard, Y., Mayaux, D. & Zuber, T. (2025). Skill Distance Between Occupations and Post‑Training Professional Transitions of Jobseekers. Economie et Statistique / Economics and Statistics, 547, 49–67. Stable link

Does vocational training help correct structural imbalances in the labour market? We propose a new measure of the skills distance between occupations, obtained by fine-tuning a large language model on a sample of job offers. Using this method, we demonstrate that the “return to employment” differential between jobseekers with and without training is driven by a reallocation of workers towards occupations that are very different from their previous posts in terms of the skills required. From a purely reallocative perspective, however, the return to employment differential associated with vocational training does not appear to be driven by more jobseekers moving to occupations where employers are struggling to recruit.

Working papers

Convergence to collusion in algorithmic pricing

[Revise & Resubmit, International Journal of Industrial Organization] [SSRN]

Artificial intelligence algorithms are increasingly used by firms to set prices. Previous research shows that they can exhibit collusive behavior, but how quickly they can do so has so far remained an open question. I show that a modern deep reinforcement learning model deployed to price goods in a repeated oligopolistic competition game with continuous prices converges to a collusive outcome in an amount of time that matches empirical observations, under reasonable assumptions on the length of a time step. This model reliably shows cooperative behavior supported by reward-punishment schemes that discourage deviations.

Work in progress

Selection and Productivity in the Public Sector: Evidence from Italian Teachers

R packages

  • MST-based k-means clustering (code, CRAN)
  • Principal curves of oriented points, as introduced in Delicado and Huerta (2003) (code, CRAN)