Pride and Prejudice on a Centralized Academic Labor Market

Philippe Caillou 1, 2 Michèle Sebag 1, 2, 3, 4
2 TAO - Machine Learning and Optimisation
LRI - Laboratoire de Recherche en Informatique, UP11 - Université Paris-Sud - Paris 11, Inria Saclay - Ile de France, CNRS - Centre National de la Recherche Scientifique : UMR8623
3 TANC - Algorithmic number theory for cryptology
Inria Saclay - Ile de France, LIX - Laboratoire d'informatique de l'École polytechnique [Palaiseau]
Abstract : The Academic Labor Market in France can be viewed as a constrained Stable Marriage problem, pairing universities and candidates according to their (elitist) preferences. A Multi-Agent based model, calibrated after the empirical evidence, is used to investigate how universities can recruit the best candidates with high confidence. Extensive simulations suggest that universities can be divided in four categories: top and medium universities have no difficulty in attracting the candidates they have selected, contrarily to good and bad universities. In this paper, a learning mechanism is presented: universities are allowed to tune their expectations depending on whether they did succeed to attract candidates in the previous recruitment rounds. The impact of over/under estimations is analyzed with respect to the hiring efficiency and quality.
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Philippe Caillou, Michèle Sebag. Pride and Prejudice on a Centralized Academic Labor Market. Artificial Economics 09, Sep 2009, Valladolid, Spain. ⟨inria-00380541⟩

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