In this paper we describe a solution to the problem of controlling the size of homoskedasticity tests in linear regression contexts.

This paper proposes finite-sample procedures for testing the SURE specification in multi-equation regression models, i.e. whether the disturbances in different equations are contemporaneously uncorrelated or not.

In this paper, we develop finite-sample inference procedures for stationary and nonstationary autoregressive (AR) models.