Résumé
The focus of this paper is the nonparametric estimation of the marginal effects (i.e. first partial derivatives) of an instrumental regression function ? defined by conditional moment restrictions that stem from a structural econometric model , and involve endogenous variables Y and Z and instruments W. The derivative function is the solution of an ill-posed inverse problem and we propose an estimation procedure based on Landweber–Fridman regularisation. We provide theoretical underpinnings of the proposed approach, examine finite-sample performance, and consider an illustrative application.
Référence
Samuele Centorrino, Jean-Pierre Florens et Jeffrey S. Racine, « Nonparametric instrumental variable derivative estimation », Journal of Nonparametric Statistics, vol. 30, n° 2, 2018, p. 368–391.
Voir aussi
Publié dans
Journal of Nonparametric Statistics, vol. 30, n° 2, 2018, p. 368–391