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Invariance and the Wald test

机译:不变性和Wald检验

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摘要

Many models and hypotheses of interest in econometrics are invariant to certain types of data transformations such as measurement unit changes. Dagenais and Dufour (Econometrica 59 (1991) 1601; Economics Letters 38 (1992) 251) and Dufour and Dagenais(J. Statist. Plann. Inference 32 (1992) 111) have shown that Wald tests are not invariant in general to such data transformations. In this paper, I provide a simple set of sufficient conditions to ensure that a Wald test for a null hypothesis is invariant to such a data transformation. I then use this set of conditions to help account for certain features of the Monte Carlo results from Gregory and Weall (Economics Letters 22 (1986) 203) on the properties of a variety of Wald tests for Sargan's COMmonFACtor restriction (Sargan (Econometrica 48 (1980) 879)) in the first-order autoregressive distributed-lag model.
机译:计量经济学中感兴趣的许多模型和假设对于某些类型的数据转换(例如度量单位更改)都是不变的。 Dagenais和Dufour(Econometrica 59(1991)1601; Economics Letters 38(1992)251)和Dufour and Dagenais(J. Statist。Plann。Inference 32(1992)111)已表明Wald检验对于此类数据通常不是不变转变。在本文中,我提供了一组简单的充分条件,以确保针对原假设的Wald检验对于这种数据转换是不变的。然后,我使用这组条件来帮助解释Gregory和Weall(Economics Letters 22(1986)203)的各种Wald检验对Sargan的COMmonFACtor限制(Sargan(Econometrica 48( 1980)879))在一阶自回归分布滞后模型中。

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