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Identification of treatment effects using control functions in models with continuous, endogenous treatment and heterogenous effects

Florens, Jean-Pierre; Heckman, James J.; Meghir, Costas; … - In: Econometrica : journal of the Econometric Society, an … 76 (2008) 5, pp. 1191-1206

Persistent link: https://www.econbiz.de/10003765890

Non parametric analysis of panel data models with endogenous variables

Fève, Frédérique; Florens, Jean-Pierre - In: Journal of econometrics 181 (2014) 2, pp. 151-164

Persistent link: https://www.econbiz.de/10010473323

Noncausality in continuous time

Florens, Jean-Pierre - In: Econometrica : journal of the Econometric Society, an … 64 (1996) 5, pp. 1195-1212

Persistent link: https://www.econbiz.de/10001206916

Game theory econometric models : application to procurements in the space industry

Florens, Jean-Pierre - In: European economic review : EER 41 (1997) 3, pp. 951-959

Persistent link: https://www.econbiz.de/10001224782

The principles underlying evaluation estimators with an application to matching

Heckman, James J. - In: Annales d'économie et de statistique 91/92 (2008), pp. 9-73

Persistent link: https://www.econbiz.de/10009013183

Fairness in machine learning and econometrics

Centorrino, Samuele; Florens, Jean-Pierre; Loubes, … - In: Econometrics with Machine Learning, (pp. 217-250). 2022

Persistent link: https://www.econbiz.de/10013447857

Microeconometrics : surveys and applications

Florens, Jean-Pierre (ed.) - 1990 - 1. publ.

Persistent link: https://www.econbiz.de/10013501399

Econometric modeling and inference

Florens, Jean-Pierre; Marimoutou, Vêlayoudom; … - 2007

The aim of this book is to present the main statistical tools of econometrics. It covers almost all modern econometric methodology and unifies the approach by using a small number of estimation techniques, many from generalized method of moments (GMM) estimation. The work is in four parts: Part...

Persistent link: https://www.econbiz.de/10003399122