Domaine de recherche : Économie Internationale et Développement Durable

Bureau : A209

E-mail : marcel.voia@univ-orleans.fr

Site internet : Page personnelle

CV : Consulter

Encadrement doctoral

1. Saikou Amadou Diallo, 2020

2. Lucien Ahouangbe (co-supervision), 2020

3. Florina Burdet (co-supervision), 2021

4. Teodora Pop  (co-supervision), 2021

5. Genevieve Vallee  (co-supervision), 2022

6. Mathis Linger  (co-supervision), 2022

7. Chantale Oweggi (co-supervision), 2022

8. MEDDEB Safa (co-supervision), 2022

9. Minyar KHAYAT (co-supervision), 2023

10. Molka Ben-Ayed (cotutelle), 2023


  • Publications dans des revues scientifiques
  • Ouvrages et rapports
  • Documents de travail et autres publications
  • Communications


Internal promotion and the Bosman ruling: Evidence from the English Premier League

Mihailo Radoman, Marcel Voia

Résumé non disponible.

Lien HAL

Does more finance lead to longer crises?

Clément Mathonnat, Alexandru Minea, Marcel Voia

Empirical studies emphasise that higher financial development (FD) amplifies the output cost of banking crises. However, no study has so far investigated the effect of FD on another key dimension of banking crises, namely their duration. Using a large sample of banking crises over the 1977-2014 period, we find that higher FD is associated with a significant increase in the duration of banking crises (DBC). This result is robust to a broad range of alternative specifications and is unaffected by unobserved heterogeneity or endogeneity. Finally, we show that the effect of FD on DBC is subject to nonlinearities and varies across decades and with the level of economic development.

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Does public debt secure social peace? A diversionary theory of public debt management

Maxime Menuet, Patrick Villieu, Marcel Voia

Résumé non disponible.

Lien HAL

Do the determinants of employment duration vary across employment spells?

Luke Ignaczak, Louis Raffestin, Marcel Voia

Résumé non disponible.

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Dynamic panels with MIDAS covariates: Nonlinearity, estimation and fit

Lynda Khalaf, Maral Kichian, Charles Saunders, Marcel Voia

Résumé non disponible.

Lien HAL

Bitcoin Adoption and Beliefs in Canada

Daniela Balutel, Christopher Henry, Michel Vasquez, Marcel Voia

Résumé non disponible.

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Immigrant earnings returns to post‐migration education: Evidence for Canada, 1999–2013

Wen Ci, Michelle Laing, Marcel Voia, Christopher Worswick

Résumé non disponible.

Lien HAL


Bootstrap bias correction for average treatment effects with inverse propensity weights

Gubhinder Kundhi, Marcel Voia

The estimated average treatment effect in observational studies is biased if the assumptions of ignorability and overlap are not satisfied. To deal with this potential problem when propensity score weights are used in the estimation of the treatment effects, in this paper we propose a bootstrap bias correction estimator for the average treatment effect (ATE) obtained with the inverse propensity score (BBC-IPS) estimator. We show in simulations that the BBC-IPC performs well when we have misspecifications of the propensity score (PS) due to: omitted variables (ignorability property may not be satisfied), overlap (imbalances in distribution between treatment and control groups) and confounding effects between observables and unobservables (endogeneity). Further refinements in bias reductions of the ATE estimates in smaller samples are attained by iterating the BBC-IPS estimator.

Lien HAL

Non-Standard Confidence Sets for Ratios and Tipping Points with Applications to Dynamic Panel Data

Jean Thomas Bernard, Ba Chu, Lynda Khalaf, Marcel Voia

Résumé non disponible.

Lien HAL


Estimation of Health Care Demand and its Implication on Income Effects of Individuals

Hossein Kavand, Marcel Voia

Abstract Zero inflation and over-dispersion issues can significantly affect the predicted probabilities as well as lead to unreliable estimations in count data models. This paper investigates whether considering this issue for German Socioeconomic Panel (1984–1995), used by Riphahn et al. (2003), provides any evidence of misspecification in their estimated models for adverse selection and moral hazard effects in health demand market. The paper has the following contributions: first, it shows that estimated parameters for adverse selection and moral hazard effects are sensitive to the model choice; second, the random effects panel data as well as standard pooled data models do not provide reliable estimates for health care demand (doctor visits); third, it shows that by appropriately accounting for zero inflation and over-dispersion there is no evidence of adverse selection behaviour and that moral hazard plays a positive and significant role for visiting more doctors. These results are robust for both males and females’ subsamples as well as for the full data sample

Lien HAL

Aucune publication disponible pour le moment.

Aucune publication disponible pour le moment.