Article

Nonparametric instrumental variable derivative estimation

Samuele Centorrino, Jean-Pierre Florens et Jeffrey S. Racine

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.

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Publié dans

Journal of Nonparametric Statistics, vol. 30, n° 2, 2018, p. 368–391