The level of uncertainty will depend on several factors: the nature of the functional form used in the multivariate analysis; the type of econometric technique employed; the appropriateness of the statistical assumptions embedded in the model or technique; the comprehensiveness of the variables included in the analysis; and the accuracy of the data that are utilized. [...] Understanding the differences in the determinants across size classes also helps us understand differences in previous studies that differ in the sample of firms used to analyze the determinants of control changes.1 Our second focus is on differences between domestic and foreign plants, because of what this tells us about the impact of the characteristics distinguishing foreign and domestic plants [...] Each of these change variables is measured relative to the four-digit industry mean of the industry in which the plant is located, and is defined as the difference between the performance in the present period and in the previous year. [...] In the case of an interaction term involving one continuous variable and one dummy variable, the marginal effects for the interaction term is the discrete difference, with respect to the dummy, of the single derivative with respect to the. [...] To estimate the marginal effects for the base (Canadian-owned plants) and the interaction terms for additional marginal effects for foreign-owned plants, we first estimate a probit model, and then, according to the formulae developed above, use ‘nlcom’ command in Stata to calculate the coefficient and the associated standard error of the marginal effects of the base terms and the interaction terms