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成本評估與規模經濟-Translog、Fourier及Spline方法之比較

Cost Assessment and Economies of Scale: A Comparison of the Translog, Fourier, and Spline Functions

摘要


文獻中探討金融機構成本效益多數皆採用Translog 函數為模型,唯受限於函數本身型態,不同規模的機構必落於U型平均成本線的兩邊,致使推估規摸經濟與成本效益時常會得到相似的必然結果,勢必將影響研究的準確性。 本研究評估Translog、Fourier及Spline函數三者,分別藉以建構成本函數體系。結果發現Fourier及Spline函數之平均成本曲線近似於M型,更能貼近金融機構的真實成本。就規模經濟的估計,Spline相對Fourier函數能得到更穩定之估計結果。

並列摘要


Many literatures on cost effects of financial institutions adopted the Translog cost function form. But the Translog cost form is a restrictive specification by itself. Different size should distribute over two side of a standard U-shaped quadratic average cost (AC) curve. To use Translog form to estimate scale economies and cost effects most get not only similar but inevitable results. It is sure to affect the accuracy of studies. This paper evaluates Translog, Fourier, and Spline function to establish cost system in Taiwan. The results show that the AC curves of Fourier and Spline function are similar to M-shaped, those estimations approximate actual costs of financial institutions. Furthermore, the outcomes of scale economies estimated with Spline function are more stable than those with Fourier function.

參考文獻


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