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Faculty of Economics

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Escanciano, J C., Hoderlein, S., Lewbel, A., Linton, O. and Srisuma, S.

Nonparametric Euler Equation Identification and Estimation

Econometric Theory, forthcoming

pp. 1-41 (2021)

Abstract: We consider nonparametric identification and estimation of pricing kernels, or equivalently of marginal utility functions up to scale, in consumption-based asset pricing Euler equations. Ours is the first paper to prove nonparametric identification of Euler equations under low level conditions (without imposing functional restrictions or just assuming completeness). We also propose a novel nonparametric estimator based on our identification analysis, which combines standard kernel estimation with the computation of a matrix eigenvector problem. Our estimator avoids the ill-posed inverse issues associated with nonparametric instrumental variables estimators. We derive limiting distributions for our estimator and for relevant associated functionals. A Monte Carlo experiment shows a satisfactory finite sample performance for our estimators.

Keywords: Euler equations, marginal utility, pricing kernel, Fredholm equations, integral equations, nonparametric identi…cation, asset pricing

JEL Codes: C14, D91, E21, G12

Author links: Oliver Linton  

Publisher's Link: https://doi.org/10.1017/S0266466620000365



Cambridge Working Paper in Economics Version of Paper: Estimation and Inference in Semiparametric Quantile Factor Models, Ma, S., Linton, O., Gao, J., (2019)

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