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Weak exogeneity in I(2) VAR systems

机译:I(2)VAR系统中的弱外生性

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This paper defines parametric conditions under which a subset of variables is weakly exogenous with respect to the (multi)-cointegration parameters in I(2) VAR systems. The weak exogeneity conditions can be interpreted in terms of common trends, corresponding to the cumulation of the errors from the marginal equations into the I(2) trends, or in terms of no levels and difference feedback' into the marginal model equations. A modified version of the two-stage procedure proposed in Johansen (1995) is adopted for conditional statistical inference. Corresponding tests for the above restrictions are derived and discussed. Asymptotic properties of the tests and of the conditional estimators are analyzed. It is shown that if the conditions of weak exogeneity do not apply, the conditional estimators of the long-run parameters can be inconsistent and/or present limit distributions with nuisance parameters, according to which part of the conditions fails to hold. A test for weak exogeneity restrictions as a routine check before any analysis of conditional models is strongly recommended.
机译:本文定义了参数条件,在该条件下,变量的子集相对于I(2)VAR系统中的(多)协整参数是弱外生的。弱外生条件可以用共同趋势来解释,对应于从边际方程到I(2)趋势的误差的累积,也可以用没有水平和边际模型方程的差异反馈来解释。有条件的统计推断采用了Johansen(1995)提出的两阶段程序的改进版本。得出并讨论了上述限制的相应测试。分析了检验和条件估计量的渐近性质。结果表明,如果不应用弱外生性条件,则长期参数的条件估计值可能会不一致,并且/或者存在带有扰动参数的极限分布,这取决于条件的哪一部分无法成立。强烈建议在对条件模型进行任何分析之前,先对弱外生性限制进行测试,作为常规检查。

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