Jean-Pierre Florens

Jad Beyhum, Jean-Pierre Florens, and Ingrid Van Keilegom, “Nonparametric Instrumental Regression With Right Censored Duration Outcomes”, Journal of Business and Economic Statistics, vol. 40, n. 3, 2022, pp. 1034–1045.

Samuele Centorrino, Jean-Pierre Florens, and Jean-Michel Loubes, “Fairness in Machine Learning and Econometrics”, in Econometrics with Machine Learning, Felix Chan, and Laszlo Matyas (eds.), Springer, chapter 7, 2022, pp. 217–250.

Jean-Pierre Florens, and Anna Simoni, “Gaussian Processes and Bayesian Moment Estimation”, Journal of Business and Economic Statistics, vol. 39, n. 2, 2021, pp. 482–492.

Abdelaati Daouia, Jean-Pierre Florens, and Léopold Simar, “Robustified expected maximum production frontiers”, Econometric Theory, vol. 37, 2021, pp. 346–387.

Andrea Enache, and Jean-Pierre Florens, “Identification and Estimation in a Third-Price Auction Model”, Econometric Theory, vol. 36, n. 3, June 2020, pp. 386–409.

Abdelaati Daouia, Jean-Pierre Florens, and Léopold Simar, “Robust frontier estimation from noisy data: a Tikhonov regularization approach”, Econometrics and Statistics, vol. 14, April 2020, pp. 1–23.

Jean-Pierre Florens, Léopold Simar, and Ingrid Van Keilegom, “Estimation of the Boundary of a Variable Observed with A Symmetric Error”, Journal of the American Statistical Association, vol. 115, n. 529, March 2020, pp. 425–451.

Jean-Pierre Florens, Christian Gouriéroux, and Alain Monfort, “Model Risk Management: Limits and Future of Bayesian Approaches”, Annals of Economics and Statistics, vol. 136, December 2019, pp. 1–26.

Andrea Enache, and Jean-Pierre Florens, “Non Parametric Estimation for Regulation Models”, Annals of Economics and Statistics, vol. 131, September 2018, pp. 45–58.

Samuele Centorrino, Jean-Pierre Florens, and Jeffrey S. Racine, “Nonparametric instrumental variable derivative estimation”, Journal of Nonparametric Statistics, vol. 30, n. 2, 2018, pp. 368–391.

Frédérique Fève, Jean-Pierre Florens, and Ingrid Van Keilegom, “Estimation of Conditional Ranks and Tset of Exogeneity in Non Parametric Non Separable Models”, Journal of Business and Economic Statistics, vol. 36, n. 2, 2018, pp. 334–345.

Jean-Pierre Florens, Joel Horowitz, and Ingrid Van Keilegom, “Bias-Corrected Confidence Intervals in a Class of Linear Inverse Problems”, Annals of Economics and Statistics, vol. 128, December 2017, pp. 203–228.

Jean-Pierre Florens, and Anna Simoni, “Introduction to the Special Issue on Inverse Problems in Econometrics”, Annals of Economics and Statistics, vol. 128, December 2017, pp. 1–3.

Jean-Pierre Florens, and Senay Sokullu, “Non Parametric Estimation of Semi Parametric Transformation Models”, Econometric Theory, vol. 33, n. 4, August 2017, pp. 839–873.

Samuele Centorrino, Frédérique Fève, and Jean-Pierre Florens, “Implementation, Simulation and Bootstrap in Non Parametric Instrumental Variables Estimation”, Journal of Econometric Methods, vol. 63, n. 1, 2017, pp. 1–25.

David Benatia, Marine Carrasco, and Jean-Pierre Florens, “Functional Linear Regression with Functional Response”, Journal of Econometrics, vol. 201, n. 2, 2017, pp. 269–291.

Jean-Pierre Florens, and Anna Simoni, “Regularizing Priors for Linear Inverse Problems”, Econometric Theory, vol. 32, n. 1, February 2016, pp. 71–121.

Catherine Cazals, Frédérique Fève, Jean-Pierre Florens, and Léopold Simar, “Nonparametric Instrumental variables Estimation for Efficiency Frontier”, Journal of Econometrics, vol. 190, n. 2, 2016, pp. 345–355.

Jean-Pierre Florens, and Sébastien Van Bellegem, “Instrumental variable estimation in functional linear models”, Journal of Econometrics, vol. 186, n. 2, June 2015, pp. 465–476.

Frédérique Fève, and Jean-Pierre Florens, “Non Parametric Analysis of Panel Data Models with Endogenous Variables”, Journal of Econometrics, vol. 181, n. 2, August 2014, pp. 151–164.