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A simple framework for nonparametric specification testing

机译:非参数规范测试的简单框架

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摘要

This paper presents a simple framework for testing the specification of parametric conditional means. The test statistics are based on quadratic forms in the residuals of the null model. Under general assumptions the test statistics are asymptotically normal under the null. With an appropriate choice of the weight matrix, the tests are shown to be consistent and to have good local power. Specific implementations involving matrices of bing and kernel weights are discussed. Finite sample properties are explored in simulations.
机译:本文提出了一个简单的框架,用于测试参数条件手段的规范。检验统计量基于零模型残差中的二次形式。在一般假设下,零值下的检验统计量是渐近正态的。通过适当选择权重矩阵,可以证明测试是一致的,并且具有良好的局部功效。讨论了涉及bing和内核权重矩阵的特定实现。在仿真中探索了有限的样本属性。

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