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Parametric copulas are shown to be attractive devices for specifying quantile autoregressive models for nonlinear time-series. Estimation of local, quantile-specific copula-based time series models offers some salient advantages over classical global parametric approaches. Consistency and...
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coincide with the known minimax optimal rates for the nonparametric mean IV regression. We illustrate the theory by two … nonparametric nonlinear IV regression, and the convergence rate of a nonparametric additive quantile IV regression. We also present …
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This note considers nonparametric identification of a general nonlinear regression model with a dichotomous regressor … strategy does not parameterize any regression or distribution functions, and does not require additional sample information … regression model error has zero conditional third moment. The results include a closed-form solution for the unknown …
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nonparametric indirect regression (NPIR) and nonparametric instrumental variables (NPIV) regression models. We establish minimax …
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This paper makes several important contributions to the literature about non- parametric instrumental variables (NPIV ) estimation and inference on a structural function h 0 and functionals of h 0 .First,wederivesup-normconvergence rates for computationally simple sieve NPIV (series two-stage...
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