[{"command":"insert","method":null,"selector":".course-modal-ajax-placeholder-959250","data":"\u003Cdiv class=\u0022container content-rte\u0022\u003E\n  \u003Cdiv class=\u0022row\u0022\u003E\n    \u003Cdiv class=\u0022box col-md-6 bg-primary text-white\u0022\u003E\n      \u003Ch2 class=\u0022h1 text-left\u0022\u003E  Econom\u00e9trie appliqu\u00e9e \u00e0 l\u2019\u00e9conomie comportementale et exp\u00e9rimentale\n\u003C\/h2\u003E\n                  \u003Cdiv class=\u0022field-spacing\u0022\u003E\n        \u003Cdiv class=\u0022field__label h3 dash\u0022\u003EECTS :\n          2\n        \u003C\/div\u003E\n      \u003C\/div\u003E\n                  \u003Cdiv class=\u0022field-spacing\u0022\u003E\n        \u003Cdiv class=\u0022field__label h3 dash\u0022\u003ESemestre calendaire :\n          Semestre 2\n        \u003C\/div\u003E\n      \u003C\/div\u003E\n            \u003Cdiv class=\u0022field-spacing\u0022\u003E\n      \u003Cdiv class=\u0022field__label h3 dash\u0022\u003ED\u00e9tail du volume horaire\u003C\/div\u003E\n                        \u003Cdiv class=\u0022mt-5 text-justify\u0022\u003E\n                          \u003Cspan class=\u0022field__label h4 mt-5 \u0022\u003ECours magistraux :\u003C\/span\u003E\n                                      \u003Cspan\u003E20\u003C\/span\u003E\n                      \u003C\/div\u003E\n                                                                                        \u003C\/div\u003E\n        \u003Cdiv class=\u0022field-spacing\u0022\u003E\n      \u003Cdiv class=\u0022field__label h3 dash\u0022\u003ELangue d\u0026#039;enseignement\u003C\/div\u003E\n                        \u003Cdiv class=\u0022mt-5 text-justify\u0022\u003E\n                                      \u003Cspan\u003EAnglais\u003C\/span\u003E\n                      \u003C\/div\u003E\n                  \u003C\/div\u003E\n        \u003Cdiv class=\u0022field-spacing\u0022\u003E\n      \u003Cdiv class=\u0022field__label h3 dash\u0022\u003EEnseignement \u00e0 distance\u003C\/div\u003E\n                        \u003Cdiv class=\u0022mt-5 text-justify\u0022\u003E\n                                      \u003Cspan\u003Enon\u003C\/span\u003E\n                      \u003C\/div\u003E\n                  \u003C\/div\u003E\n      \u003C\/div\u003E\n    \u003Cdiv class=\u0022box col-md-6\u0022\u003E\n            \u003Cdiv class=\u0022field-spacing\u0022\u003E\n      \u003Cdiv class=\u0022field__label h3 dash\u0022\u003EPr\u00e9requis\u003C\/div\u003E\n                        \u003Cdiv class=\u0022mt-5 text-justify\u0022\u003E\n                                      \u003Cspan\u003E\u003Cp\u003ENiveau M1 en \u00e9conom\u00e9trie ou \u00e9quivalent (statistiques appliqu\u00e9es, r\u00e9gression, tests). Connaissances de base de Stata ou R (manipulation de donn\u00e9es, estimation de mod\u00e8les). Notions en \u00e9conomie comportementale et exp\u00e9rimentale souhait\u00e9es.\u003C\/p\u003E\u003C\/span\u003E\n                      \u003C\/div\u003E\n                  \u003C\/div\u003E\n        \u003Cdiv class=\u0022field-spacing\u0022\u003E\n      \u003Cdiv class=\u0022field__label h3 dash\u0022\u003EProgramme \/ plan \/ contenus\u003C\/div\u003E\n                        \u003Cdiv class=\u0022mt-5 text-justify\u0022\u003E\n                                      \u003Cspan\u003E\u003Cp\u003E\u003Cem\u003E\u003Cstrong\u003E1.Introduction et positionnement du cours\u0026nbsp;:\u003C\/strong\u003E\u003C\/em\u003E a)Place de l\u2019\u00e9conomie comportementale dans l\u2019analyse empirique\u0026nbsp;;\u0026nbsp; b)Sp\u00e9cificit\u00e9s des donn\u00e9es comportementales et exp\u00e9rimentales. _\u003Cstrong\u003E2.Rappels fondamentaux de statistiques et d\u2019\u00e9conom\u00e9trie\u0026nbsp;:\u003C\/strong\u003E_a)Estimation lin\u00e9aire, tests statistiques, inf\u00e9rence causale de base\u0026nbsp;; b)Limites des mod\u00e8les lin\u00e9aires pour les donn\u00e9es comportementales. \u003Cem\u003E\u003Cstrong\u003E3.Mod\u00e8les \u00e0 variable d\u00e9pendante qualitative et limit\u00e9e\u0026nbsp;:\u003C\/strong\u003E\u003C\/em\u003E a)Probit, logit, tobit, mod\u00e8les multinomiaux et ordonn\u00e9s\u0026nbsp;; b)Application \u00e0 la mod\u00e9lisation des choix et des comportements. \u003Cem\u003E\u003Cstrong\u003E4.Mod\u00e8les de donn\u00e9es de panel\u0026nbsp;:\u003C\/strong\u003E\u003C\/em\u003E a)Effets fixes et al\u00e9atoires, dynamique du comportement\u0026nbsp;; b)H\u00e9t\u00e9rog\u00e9n\u00e9it\u00e9 non observ\u00e9e chez les individus\u0026nbsp;; c)M\u00e9thodes pour traiter le biais de s\u00e9lection et l\u2019endog\u00e9n\u00e9it\u00e9 dans les panels. \u003Cem\u003E\u003Cstrong\u003E5.M\u00e9thodes d\u2019\u00e9valuation d\u2019impacts\u0026nbsp;:\u003C\/strong\u003E\u003C\/em\u003E a) Diff\u00e9rences-en-diff\u00e9rences, appariement, r\u00e9gression sur discontinuit\u00e9, variables instrumentales\u0026nbsp;; b)Sp\u00e9cificit\u00e9s de l\u2019exp\u00e9rimentation en \u00e9conomie comportementale (exp\u00e9riences naturelles vs exp\u00e9riences contr\u00f4l\u00e9es), \u003Cem\u003E\u003Cstrong\u003E6.Approche causale et identification en \u00e9conomie comportementale\u0026nbsp;:\u003C\/strong\u003E\u003C\/em\u003E a)Validit\u00e9 interne\/externe des exp\u00e9riences\u0026nbsp;; b)Strat\u00e9gies d\u2019identification et de robustesse\u0026nbsp;; \u003Cem\u003E\u003Cstrong\u003E7.Traitement des donn\u00e9es exp\u00e9rimentales et comportementales\u0026nbsp;:\u003C\/strong\u003E\u003C\/em\u003E a)Construction d\u2019indicateurs, nettoyage des donn\u00e9es, gestion des attritions et biais de participation\u0026nbsp;; b)Analyse statistique\u0026nbsp;; \u003Cem\u003E\u003Cstrong\u003E8.Lecture critique d\u2019articles empiriques\u0026nbsp;:\u003C\/strong\u003E\u003C\/em\u003E a)Discussion de cas embl\u00e9matiques en \u00e9conomie comportementale\u0026nbsp;; b)Sur la reproduction d\u2019analyses empiriques (r\u00e9plication)\u0026nbsp;; \u003Cem\u003E\u003Cstrong\u003E9.M\u00e9thodes avanc\u00e9es et nouveaux enjeux\u0026nbsp;:\u003C\/strong\u003E\u003C\/em\u003E a)M\u00e9thodes r\u00e9centes pour l\u2019analyse de donn\u00e9es comportementales\u0026nbsp;; b)Donn\u00e9es massives, exp\u00e9riences en ligne, et d\u00e9fis \u00e9thiques.\u003C\/p\u003E\u003C\/span\u003E\n                      \u003C\/div\u003E\n                  \u003C\/div\u003E\n        \u003Cdiv class=\u0022field-spacing\u0022\u003E\n      \u003Cdiv class=\u0022field__label h3 dash\u0022\u003EObjectifs d\u0026#039;apprentissage\u003C\/div\u003E\n                        \u003Cdiv class=\u0022mt-5 text-justify\u0022\u003E\n                                      \u003Cspan\u003E\u003Cp\u003ECe cours vise \u00e0 doter les \u00e9tudiants des outils \u00e9conom\u00e9triques avanc\u00e9s n\u00e9cessaires pour analyser rigoureusement les donn\u00e9es issues de l\u2019\u00e9conomie comportementale et exp\u00e9rimentale. Il s\u0027articule autour d\u2019un apprentissage progressif allant des rappels fondamentaux jusqu\u2019aux m\u00e9thodes de pointe, en mettant l\u2019accent sur l\u2019application \u00e0 des probl\u00e9matiques r\u00e9elles en \u00e9conomie comportementale.\u003C\/p\u003E\u003C\/span\u003E\n                      \u003C\/div\u003E\n                  \u003C\/div\u003E\n        \u003Cdiv class=\u0022field-spacing\u0022\u003E\n      \u003Cdiv class=\u0022field__label h3 dash\u0022\u003EOrganisation g\u00e9n\u00e9rale et modalit\u00e9s p\u00e9dagogiques\u003C\/div\u003E\n                        \u003Cdiv class=\u0022mt-5 text-justify\u0022\u003E\n                                      \u003Cspan\u003E\u003Cp\u003EPhu Nguyen-Van, Directeur de recherche CNRS, ECONOMIX, CNRS \u0026amp; Universit\u00e9 Paris Nanterre\u003C\/p\u003E\u003C\/span\u003E\n                      \u003C\/div\u003E\n                  \u003C\/div\u003E\n                \u003Cdiv class=\u0022field-spacing\u0022\u003E\n      \u003Cdiv class=\u0022field__label h3 dash\u0022\u003EComp\u00e9tences\u003C\/div\u003E\n                        \u003Cdiv class=\u0022mt-5 text-justify\u0022\u003E\n                                      \u003Cspan\u003E\u003Cul\u003E\n\u003Cli\u003EMa\u00eetriser les principaux outils \u00e9conom\u00e9triques avanc\u00e9s pour l\u2019analyse de donn\u00e9es comportementales \u0026nbsp;\u0026nbsp; et exp\u00e9rimentales\u0026nbsp;; \u2022 \u00catre capable de choisir la m\u00e9thode d\u2019analyse la plus appropri\u00e9e \u00e0 une question empirique sp\u00e9cifique et en comprendre les limites\u0026nbsp;; \u2022 Savoir traiter, analyser, et interpr\u00e9ter des donn\u00e9es \u0026nbsp;\u0026nbsp; issues d\u2019exp\u00e9rimentations comportementales \u00e0 l\u2019aide des logiciels comme Stata ou R\u0026nbsp;; \u2022 D\u00e9velopper un esprit critique face \u00e0 la litt\u00e9rature empirique en \u00e9conomie comportementale\u0026nbsp;; \u2022 S\u2019initier \u00e0 la r\u00e9plication d\u2019\u00e9tudes et \u00e0 la reproductibilit\u00e9 des r\u00e9sultats scientifiques.\u003C\/li\u003E\n\u003C\/ul\u003E\n\u003Cp\u003ER\u00e9sum\u00e9 des comp\u00e9tences en anglais :\u003C\/p\u003E\n\u003Cp\u003EThe course provides advanced econometric tools and methods for the analysis of behavioral and experimental data, including qualitative and limited dependent variable models, panel data, and impact evaluation methods. Emphasis is placed on practical applications and critical analysis of empirical studies. Students have to use statistical software (Stata\/R) to replicate and learn to interpret empirical results in behavioral and experimental economics.\u003C\/p\u003E\u003C\/span\u003E\n                      \u003C\/div\u003E\n                  \u003C\/div\u003E\n        \u003Cdiv class=\u0022field-spacing\u0022\u003E\n      \u003Cdiv class=\u0022field__label h3 dash\u0022\u003EBibliographie\u003C\/div\u003E\n                        \u003Cdiv class=\u0022mt-5 text-justify\u0022\u003E\n                                      \u003Cspan\u003E\u003Cp\u003E\u2022Angrist J. \u0026amp; J.-S. Pischke (2009), Mostly Harmless Econometrics: An Empiricist\u0027s Companion, Princeton University Press\u0026nbsp;\u003C\/p\u003E\n\u003Cp\u003E\u2022 Cameron A.C. \u0026amp; P.K Trivedi (2005), Microeconometrics: Methods and Applications, Cambridge University Press \u2022 Maddala G.S. (1999), Limited-Dependent and Qualitative Variables in Econometrics,\u0026nbsp;\u200eCambridge University Press\u0026nbsp;\u003C\/p\u003E\n\u003Cp\u003E\u2022 Moffatt P.G. (2016), Experimetrics : Econometrics for Experimental Economics, Palgrave Macmillan\u0026nbsp;\u003C\/p\u003E\n\u003Cp\u003E\u2022 Wooldridge J. M. (2010), Econometric analysis of cross section and panel data, MIT Press\u0026nbsp;\u003C\/p\u003E\n\u003Cp\u003E\u2022 Verbeek M. (2008), A Guide to Modern Econometrics, John Wiley \u0026amp; Sons, 3rd edition\u0026nbsp;\u003C\/p\u003E\n\u003Cp\u003E\u2022 Des articles de recherche, qui \u00e9voluent en fonction du d\u00e9veloppement de la litt\u00e9rature, seront distribu\u00e9s au d\u00e9but du cours.\u003C\/p\u003E\u003C\/span\u003E\n                      \u003C\/div\u003E\n                  \u003C\/div\u003E\n        \u003Cdiv class=\u0022field-spacing\u0022\u003E\n      \u003Cdiv class=\u0022field__label h3 dash\u0022\u003ENature de l\u0026#039;\u00e9valuation\u003C\/div\u003E\n                        \u003Cdiv class=\u0022mt-5 text-justify\u0022\u003E\n                                      \u003Cspan\u003EEvaluation Continue non Int\u00e9grale\u003C\/span\u003E\n                      \u003C\/div\u003E\n                  \u003C\/div\u003E\n      \u003C\/div\u003E\n  \u003C\/div\u003E\n\u003C\/div\u003E\n","settings":null}]