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Elysée Aristide Houndetoungan

Assistant Professor of Economics


Research


Accepted and Published papers


Working Papers

  • Count Data Models with Social Interactions under Rational Expectations, 2022 - [paper] [R package]
  • I propose a peer effect model for counting variables using a game of incomplete information. I provide sufficient conditions under which the game equilibrium is unique and estimate the model parameters using the Nested Partial Likelihood (NLP) approach. I generalize the NPL estimator to the case of endogenous networks and establish its asymptotic properties. I show that estimating peer effects on counting variables using models that ignore the counting nature of the outcome, such as the Tobit model, leads to inconsistent estimators. I use the model to evaluate peer effects on students’ participation in extracurricular activities.



  • Estimating Peer Effects using Partial Network Data, 2022 (with Vincent Boucher) - [paper] [R package] [vignette]

    We study the estimation of peer effects through social networks when researchers do not observe the entire network structure. Special cases include sampled networks, censored networks, misclassified links, and aggregated relational data. We assume that researchers can obtain a consistent estimator of the distribution of the network. We show that this assumption is sufficient for estimating peer effects using a linear-in-means model. We provide an empirical application to the study of peer effects on students academic achievement using the widely used Add Health database and show that network data errors have a first-order downward bias on estimated peer effects.


Work In Progress

  • Hospital Length of Stays, Readmissions and Deaths: A Multiple Spell Survival Analysis (whith Damien Echevin and Bernard Fortin)
  • Physicians' Financial Incentives (whith Damien Echevin)