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- W4200597487 abstract "Scaling is common in empirical accounting research. It is often done to mitigate heteroscedasticity or the influence of firm size on parameter estimates. However, Barth and Clinch conclude that common diagnostic tools are ineffective in detecting various scale effects. Using analytic results and Monte Carlo simulations, we show that common forms of scaling, when misapplied, induce substantial spurious correlation via biased parameter estimates. Researchers, when uncertain about the exact functional form of scale effect, are typically better off dealing with both heteroscedasticity and the influence of larger firms using techniques other than scaling." @default.
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- W4200597487 date "2021-12-27" @default.
- W4200597487 modified "2023-09-24" @default.
- W4200597487 title "Spurious Correlation Due to Scaling" @default.
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- W4200597487 doi "https://doi.org/10.1177/0148558x211063704" @default.
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