确定改革重点:非线性因素的作用

Klaus Hellwig
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引用次数: 0

摘要

各国能否通过具体政策领域的改革来改善营商环境?Kraay和Tawara(2013)发现,答案取决于我们如何衡量商业环境。在对涉及38个政策指标的7个不同商业环境指数进行回归分析时,他们发现7个模型在哪些政策指标最重要的问题上几乎没有达成一致。我用同样的数据重新审视了这个谜题,但用随机森林算法取代了他们的线性模型。我发现各模型在政策指标的重要性排名上有着强烈的共识:无论考虑哪个商业环境指数,改善商业环境的十大因素总是包括破产程序的高回收率(即债权人的美分),进出口商的边境手续更短,以及创业成本低。我指出,改革的边际效应在不同国家是不同的,并记录了改革重点如何取决于各国的具体情况。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Identifying Reform Priorities: The Role of Non-Linearities
Can countries improve their business climate through reforms in specific policy areas? Kraay and Tawara (2013) find that the answer depends on how we measure the business climate. When regressing seven different business climate indices on 38 policy indicators, they find little agreement among the seven models as to which of those policy indicators matter most. I revisit this puzzle using the same data but replacing their linear models with a Random Forest algorithm. I find a strong consensus across models on the importance ranking of policy indicators: No matter which business climate index is considered, the top ten contributors to a better business climate always include high recovery rates in insolvency proceedings (i.e., cents on the dollar for creditors), shorter border formalities for both importers and exporters, and low costs for starting a business. I show that the marginal effect of reforms is heterogeneous across countries and document how reform priorities depend on country specific circumstances.
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