Keeping it within bounds: Regression analysis of proportions in international business
指出国际商务研究中处理比例因变量时，Tobit回归和分数回归是两种合适的方法，但现有研究常误用或误读Tobit回归结果，因此提供了选择模型和解读结果的指南，附有模拟、数据示例和决策树。
International business researchers commonly estimate proportions, percentages, rates, or fractions – so-called “proportional dependent variables”. In this paper, we posit that two regression strategies are particularly pertinent to the international business field: Tobit and fractional regression. Reviewing recent international business research, we find that, while fractional regression is rarely used, analyses from Tobit regression are often incomplete or erroneously interpreted with consequences for the validity of the reported results. Accordingly, we clarify how researchers should choose between Tobit and fractional regression and interpret their results. We present insights based on simple simulations and data examples with associated Stata code and a decision tree for choosing between types of models for use with proportional dependent variables.