Specification tests for non-Gaussian maximum likelihood estimators

• 成果类型: Article
• 署名作者: Fiorentini, Gabriele; Sentana, Enrique
• 署名单位: University of Florence
• 刊物名称: QUANTITATIVE ECONOMICS
• ISSN/ISSBN: 1759-7323
• DOI: 10.3982/QE1406
• 发表日期: 2021
• 页码: 683-742
• 关键词: Durbin-Wu-Hausman tests; partial adaptivity; semiparametric estimators; singular covariance matrices; uncertainty and the business cycle; C12; C14; C22; C32; C52

摘要

We propose generalized DWH specification tests which simultaneously compare three or more likelihood-based estimators in multivariate conditionally heteroskedastic dynamic regression models. Our tests are useful for Garch models and in many empirically relevant macro and finance applications involving Vars and multivariate regressions. We determine the rank of the differences between the estimators' asymptotic covariance matrices under correct specification, and take into account that some parameters remain consistently estimated under distributional misspecification. We provide finite sample results through Monte Carlo simulations. Finally, we analyze a structural Var proposed to capture the relationship between macroeconomic and financial uncertainty and the business cycle.