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A semiparametric stochastic input distance frontier model with application to the Indonesian banking industry
Journal of Productivity Analysis ( IF 2.3 ) Pub Date : 2020-11-28 , DOI: 10.1007/s11123-020-00589-3
Kai Sun , Ruhul Salim

This paper proposes a semiparametric smooth-varying coefficient input distance frontier model with multiple outputs and multiple inputs, panel data, and determinants of technical inefficiency for the Indonesian banking industry during the period 2000 to 2015. The technology parameters are unknown functions of a set of environmental factors that shift the input distance frontier non-neutrally. The computationally simple constraint weighted bootstrapping method is employed to impose the regularity constraints on the distance function. As a by-product, total factor productivity (TFP) growth is estimated and decomposed into technical change, scale component, and efficiency change. The distance elasticities, marginal effects of the environmental factors on the distance elasticities, temporal behavior of technical efficiency, and also TFP growth and its components are investigated.

中文翻译:

半参数随机输入距离边界模型及其在印尼银行业中的应用

本文提出了一个具有多个输出和多个输入,面板数据以及印尼银行业在2000年至2015年期间技术效率低下的决定因素的半参数平滑变系数输入距离边界模型。技术参数是一组参数的未知函数。使输入距离边界非中性地移动的环境因素。采用计算简单的约束加权自举方法将规则约束强加于距离函数。作为副产品,可以估算全要素生产率(TFP)的增长,并将其分解为技术变化,规模构成和效率变化。距离弹性,环境因素对距离弹性的边际影响,技术效率的时间行为,
更新日期:2020-11-28
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