Alternative errors-in-variables models and their applications in finance research

• We show how errors-in-variables affect estimations in the regression model.
• We review and extend existing various errors-in-variables (EIV) estimation methods.
• We investigate how EIV estimation methods have been used to finance related studies.

Specification error and measurement error are two major issues in finance research. The main purpose of this paper is (i) to review and extend existing errors-in-variables (EIV) estimation methods, including classical method, grouping method, instrumental variable method, mathematical programming method, maximum likelihood method, LISREL method, and the Bayesian approach; (ii) to investigate how EIV estimation methods have been used to finance related studies, such as cost of capital, capital structure, investment equation, and test capital asset pricing models; and (iii) to give a more detailed explanation of the methods used by Almeida et al. (2010).