Finite sample performance of the robust Wald test in simultaneous equation systems

Calzolari, Giorgio and Panattoni, Lorenzo (1987): Finite sample performance of the robust Wald test in simultaneous equation systems. Published in: Advances in Econometrics , Vol. 7, (1987): pp. 163-191.

Abstract

The estimator of the coefficient covariance matrix proposed in White (1982) can be used to robustify the classical Wald test. Sampling experiments recently performed on linear regressions and simultaneous equation models, however, suggest that such an estimator tends to underestimate the covariance matrix if the model is correctly specified. In the classical framework of simultaneous equation systems, this paper aims at investigating the consequences of the use of robust covariance matrix estimator in the Wald test, when there is no misspecification.

• Item Type: MPRA Paper
• Language: English
• Keywords: Simultaneous equations; Wald test; robust covariance matrix estimator; Monte Carlo
• Subjects: C - Mathematical and Quantitative Methods > C1 - Econometric and Statistical Methods and Methodology: General > C15 - Statistical Simulation Methods: General; C - Mathematical and Quantitative Methods > C3 - Multiple or Simultaneous Equation Models ; Multiple Variables > C30 - General

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