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基于 GMM 的 Wald 检验的小样本性质AI 解读

This article assesses the small-sample properties of generalized-method-of-moments-based Wald statistics by using (a) a vector white-noise process and (b) an equilibrium business-cycle model as the data-generating mechanisms. In many cases, the small-sample size of the Wald tests exceeds its asymptotic size and increases sharply with the number of hypotheses being jointly tested. We argue that this is mostly due to difficulty in estimating the spectral-density matrix of the…

将 Hansen–Jagannathan 界用于资产定价模型的经典检验AI 解读

In this article, tests of the implications of consumption-based asset-pricing models are developed. Four of these tests are based on variance bounds for intertemporal marginal rates of substitution introduced by L. P. Hansen and R. Jagannathan. The tests provide one means of quantifying the effects of sampling error when the bounds are used as a diagnostic device. The tests are used to construct confidence regions for the parameters of an asset-pricing model using U.S. data.…

将 Hansen–Jagannathan 界用于资产定价模型的经典检验AI 解读

In this article, tests of the implications of consumption-based asset-pricing models are developed. Four of these tests are based on variance bounds for intertemporal marginal rates of substitution introduced by L. P. Hansen and R. Jagannathan. The tests provide one means of quantifying the effects of sampling error when the bounds are used as a diagnostic device. The tests are used to construct confidence regions for the parameters of an asset-pricing model using U.S. data.…

基于资产定价模型数值解的矩估计量一致性AI 解读

This paper considers the properties of estimators based on numerical solutions to a class of economic models. In particular, the numerical methods discussed are those applied in the solution of linear integral equations, specifically Fredholm equations of the second kind. These integral equations arise out of economic models in which endogenous variables appear linearly in the Euler equations, but for which easily characterized solutions do not exist. Tauchen and Hussey [24]…