SPECIFICATION TESTING WHEN THE NULL IS NONPARAMETRIC OR SEMIPARAMETRIC
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Publication:3465604
DOI10.1017/S0266466614000504zbMath1441.62854OpenAlexW2139026783MaRDI QIDQ3465604
Stefan Sperlich, Philippe Vieu, Juan M. Rodríguez-Póo
Publication date: 22 January 2016
Published in: Econometric Theory (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1017/s0266466614000504
Applications of statistics to economics (62P20) Nonparametric regression and quantile regression (62G08) Nonparametric hypothesis testing (62G10) Asymptotic properties of nonparametric inference (62G20)
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Cites Work
- A consistent test of functional form via nonparametric estimation techniques
- An updated review of goodness-of-fit tests for regression models
- Bootstrapping general empirical measures
- Subsampling
- Nonparametric smoothing and lack-of-fit tests
- Optimal global rates of convergence for nonparametric regression
- Consistency and Monte Carlo simulation of a data driven version of smooth goodness-of-fit tests
- Data-driven rate-optimal specification testing in regression models
- Comparison of Separable Components in Different Samples
- Weak and strong uniform consistency of kernel regression estimates
- Structural Tests in Additive Regression
- An Adaptive, Rate-Optimal Test of a Parametric Mean-Regression Model Against a Nonparametric Alternative
- A comparison of different nonparametric methods for inference on additive models
- Regression Analysis when the Dependent Variable Is Truncated Normal
- Nonparametric Matching and Efficient Estimators of Homothetically Separable Functions
- Goodness‐of‐fit tests for parametric models in censored regression
- Nonparametric Censored and Truncated Regression
- Subsampling inference in cube root asymptotics with an application to Manski's maximum score estimator.
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