Multicollinearity in international business research can cause problems, but it doesn't bias results. Variance inflation factors show when standard errors are too large. Coefficients don't become unstable because of multicollinearity. Omitting variables with high partial correlation can make things worse. Ignoring data clusters can lead to false results. Considering country clusters doesn't capture all country-level differences.