1992RePEc: Research Papers in EconomicsRequires access

Nonparametric and semiparametric methods for economic research

Peter M. Robinson, Miguel A. Delgado

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Abstract

Developments in the vast and growing literatures on nonparametric and semiparametric statistical estimation are reviewed. The emphasis is on useful methodology rather than statistical properties for their own sake. Some empirical applications to economic data are described. The paper deals separately with nonparametric density estimation, nonparametric regression estimation, and estimation of semiparametric models.

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What this paper is about

Developments in the vast and growing literatures on nonparametric and semiparametric statistical estimation are reviewed. The emphasis is on useful methodology rather than statistical properties for their own sake. Some empirical applications to economic data are described. The paper deals separately with nonparametric density estimation, nonparametric regression estimation, and estimation of semiparametric models.

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Available abstract

Developments in the vast and growing literatures on nonparametric and semiparametric statistical estimation are reviewed. The emphasis is on useful methodology rather than statistical properties for their own sake. Some empirical applications to economic data are described. The paper deals separately with nonparametric density estimation, nonparametric regression estimation, and estimation of semiparametric models.

Key concepts: Nonparametric statistics, Semiparametric regression, Econometrics, Semiparametric model, Estimation, Nonparametric regression, Parametric statistics, Computer science

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