Scale Effects in Capital Markets‐Based Accounting Research
通过模拟数据研究五种规模效应对会计研究推断的影响，发现已有诊断方法无效，并比较六种回归模型的效果，发现每股除权和无除权模型表现最佳。
Abstract: Based on data simulated using a modified Ohlson (1995) valuation model, we investigate effects on inferences of five potential scale‐related effects: multiplicative and additive omitted scale factors, scale‐varying coefficients, survivorship, and heteroscedasticity. We find that diagnostics identified in prior research are not successful in detecting or distinguishing these scale effects. Thus, we investigate the effectiveness at mitigating scale effects of six specifications of regressions of equity market value on equity book value and earnings: undeflated, share‐deflated, equity book value‐deflated, lagged price‐deflated, returns, and equity market value‐deflated. For each specification, we compare frequency of correct rejection that the coefficients equal zero, coefficient bias and absolute error, and regression explanatory power. We find that share‐deflated and undeflated specifications generally perform the best, regardless of the type of scale effect.