Number of documents

24

CV MUSSARD Stéphane

Positions:

2019/ Co-Director of Lab Chrome EA 7352, University of Nîmes, France

2015/ Full Professor, Chrome, University of Nîmes

2011/ Research Fellow: Luxembourg Institute of Socio-Economic Research (LISER), Luxembourg

2005/ Research Fellow: Groupement de Recherche en Économie et Développement International (GREDI), University of Sherbrooke, Québec, Canada

Research Topics:

Social Choice, Welfare, Inequality, Cooperative Games, Health, Operational Research, AI, Econometrics, Statistics

Journal articles11 documents

Marc Dubois, Stéphane Mussard. Utility and income transfer principles: Interplay and incompatibility. Mathematical Social Sciences, Elsevier, 2019, ⟨10.1016/j.mathsocsci.2019.05.001⟩. ⟨hal-02145100⟩
Arthur Charpentier, Ndéné Ka, Stéphane Mussard, Oumar Ndiaye. Gini Regressions and Heteroskedasticity. Econometrics, MDPI, 2019, 7 (1), pp.4. ⟨10.3390/econometrics7010004⟩. ⟨hal-02131746⟩
Véronique Thireau, Stephane Mussard, Maria Noel Pi Alperin. Health Inequality Indices and Exogeneous Risk Factors : An illustration luxembourgish workers. The European Journal of Health Economics, 2018. ⟨hal-01987468⟩
Stéphane Mussard, Pauline Mornet. A Note on α -Gini Measures. Review of Income and Wealth, Wiley, 2018, ⟨10.1111/roiw.12373⟩. ⟨hal-02132104⟩
Stéphane Mussard, Fattouma Souissi-Benrejab. Gini-PLS Regressions. Journal of Quantitative Economics, The Indian Econometric Society, 2018, ⟨10.1007/s40953-018-0132-9⟩. ⟨hal-02187582⟩
Stéphane Mussard, Oumar Hamady Ndiaye. Vector autoregressive models: A Gini approach. Physica A: Statistical Mechanics and its Applications, Elsevier, 2018, 492, pp.1967-1979. ⟨10.1016/j.physa.2017.11.111⟩. ⟨hal-02132100⟩
Louisa Andriamasy, Walter Briec, Stéphane Mussard. On some relations between several generalized convex DEA models. Optimization, Taylor & Francis, 2017, 66 (4), pp.547 - 570. ⟨10.1080/02331934.2017.1279159⟩. ⟨hal-01781483⟩
Ndéné Ka, Stéphane Mussard. ℓ1 regressions: Gini estimators for fixed effects panel data. Journal of Applied Statistics, Taylor & Francis (Routledge), 2015, 46 (8), pp.1436-1446. ⟨10.1080/02664763.2015.1103707 ⟩. ⟨hal-01784180⟩
Walter Briec, Stéphane Mussard. Efficient firm groups: Allocative efficiency in cooperative games. European Journal of Operational Research, Elsevier, 2014, 239 (1), pp.286-296. ⟨10.1016/j.ejor.2014.04.049⟩. ⟨hal-02132094⟩
Paul Makdissi, Stéphane Mussard. Decomposition of s-concentration curves. Canadian Journal of Economics/Revue canadienne d'économique, 2008, 41 (4), pp.1312-1328. ⟨10.1111/j.1540-5982.2008.00505.x⟩. ⟨hal-02132082⟩
Paul Makdissi, Stéphane Mussard. Analyzing the impact of indirect tax reforms on rank-dependent social welfare functions: a positional dominance approach. Social Choice and Welfare, Springer Verlag, 2008, 30 (3), pp.385-399. ⟨10.1007/s00355-007-0237-0⟩. ⟨hal-02132092⟩

Conference papers3 documents

Gildas Tagny Ngompé, Sébastien Harispe, Guillaume Zambrano, Jacky Montmain, Stéphane Mussard. Reconnaissance de sections et d'entités dans les décisions de justice : application des modèles probabilistes hmm et crf. Extraction et Gestion des Connaissances - EGC 2017. , Jan 2017, Grenoble, France. ⟨hal-01485019⟩
Gildas Tagny Ngompe, Sébastien Harispe, Jacky Montmain, Guillaume Zambrano, Stephane Mussard. Detecting sections and entities in court decisions using HMM and CRF graphical models. Conférence Extraction et Gestion des Connaissances, Université Grenoble alpes (UGA), Jan 2017, Grenoble, France. ⟨hal-02101479⟩
Gildas Tagny Ngompé, Sébastien Harispe, Jacky Montmain, Stéphane Mussard, Guillaume Zambrano. Analyse sémantique d’un corpus exhaustif de décisions jurispridentielles pour le développement d’un modèle prédictif du risque judiciaire. L’anticipation de la répression : innovation ou régression ?, Jun 2016, Montpellier, France. ⟨hal-01485030⟩

Book sections1 document

Gildas Tagny Ngompé, Sébastien Harispe, Guillaume Zambrano, Jacky Montmain, Stéphane Mussard. Detecting Sections and Entities in Court Decisions Using HMM and CRF Graphical Models. Advances in Knowledge Discovery and Management, pp.61-86, 2019, ⟨10.1007/978-3-030-18129-1_4⟩. ⟨hal-02292955⟩

Preprints, Working Papers, ...8 documents

Arthur Charpentier, Stéphane Mussard, Tea Ouraga. Principal Component Analysis: A Generalized Gini Approach. 2019. ⟨hal-02327521⟩
Walter Briec, Marc Dubois, Stéphane Mussard. Technical Efficiency in Firm Games with Constant Returns to Scale and α-Returns to Scale. 2019. ⟨hal-02344310⟩
Arthur Charpentier, Stéphane Mussard, Tea Ouraga. Principal Component Analysis : A Generalized Gini Approach. 2019. ⟨hal-02340386⟩
Stéphane Mussard, Oumar N'Diaye. Vector autoregressive models : a Gini approach. 2017. ⟨hal-01543271⟩
Louisa Andriamasy, Walter Briec, Stéphane Mussard. Improvement of technical efficiency of firm groups. 2016. ⟨hal-01784209⟩
Stéphane Mussard, Maria Noel Pi Alperin, Veronique Thireau. Aggregable health inequality indices. 2016. ⟨hal-01786527⟩
Stéphane Mussard, Maria Noel Pi Alperin. A Two-parameter Family of Socio-economic Health Inequality Indices: Accounting for Risk and Inequality Aversions. 2016. ⟨hal-01786549⟩
Arthur Charpentier, Stéphane Mussard. Income Inequality Games. 2010. ⟨hal-00456573⟩

Reports1 document

Mickaël Beaud, Thierry Blayac, Patrice Bougette, Soufiane Khoudmi, Philippe Mahenc, et al.. Estimation du coût d'opportunité des fonds publics pour l'économie française. [Rapport de recherche] LAMETA et Université Montpellier 1 - Etude pour le Ministère de l'Ecologie, du Développement Durable et de l'Energie. 2013. ⟨halshs-01077141⟩

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