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In structural economic models, individuals are usually characterized as solving a decision problem that is governed by a finite set of parameters. This paper discusses the nonparametric estimation of the probability density function of these parameters if they are allowed to vary continuously...
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There are many interesting and widely used estimators of a functional with finite semi-parametric variance bound that depend on nonparametric estimators of nuisance func-tions. We use cross-fitting to construct such estimators with fast remainder rates. We give cross-fit doubly robust...
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censored population. We then correct the derivative for the effects of the selection bias. We propose nonparametric and …
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including future bias in addition to present bias. In particular, the experiment (1) runs a non-parametric test of time …) the result suggests that many subjects exhibiting future bias, indicating an inverse S-curve time discount function …
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Semiparametric correction for a sample selection bias in the presence of endogenous truncation is known to be much more … simple bandwidth-free semiparametric methodology to correct for a self-selection bias in a truncated sample, without any …
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