Artikel

Specification tests for non-Gaussian maximum likelihood estimators

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.

Language
Englisch

Bibliographic citation
Journal: Quantitative Economics ; ISSN: 1759-7331 ; Volume: 12 ; Year: 2021 ; Issue: 3 ; Pages: 683-742 ; New Haven, CT: The Econometric Society

Classification
Wirtschaft
Hypothesis Testing: General
Semiparametric and Nonparametric Methods: General
Single Equation Models; Single Variables: Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
Multiple or Simultaneous Equation Models: Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
Model Evaluation, Validation, and Selection
Subject
Durbin-Wu-Hausman tests
partial adaptivity
semiparametric estimators
singular covariance matrices
uncertainty and the business cycle

Event
Geistige Schöpfung
(who)
Fiorentini, Gabriele
Sentana, Enrique
Event
Veröffentlichung
(who)
The Econometric Society
(where)
New Haven, CT
(when)
2021

DOI
doi:10.3982/QE1406
Handle
Last update
10.03.2025, 11:42 AM CET

Data provider

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Object type

  • Artikel

Associated

  • Fiorentini, Gabriele
  • Sentana, Enrique
  • The Econometric Society

Time of origin

  • 2021

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