利用微观数据计算企业所得税税率

Carmel Veber, M. Strawczynski
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引用次数: 0

摘要

本文采用2006 - 2015年以色列企业行政面板微观数据计算企业所得税税率。在此期间,企业税率逐渐降低,并在样本结束时重新上调。我们首先提出了一个理论模型,其中三种效应相互作用:机械效应,动态效应-与公司的开业和关闭有关-以及对利润的效率效应。我们对开业和关闭的公司进行回归,并将利润作为公司税率的函数,以及一堆额外的解释变量。利用从这些回归中获得的系数,我们估计了拉弗税率,其范围在32.5%到38%之间,这些数字属于文献中使用宏观数据显示的范围。在分支机构方面,我们发现食品服务的特点是低税率(14%),而制造业的税率则很高(39%)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Calculating the Corporate Laffer Tax Rate Using Micro-Data
This paper uses administrative panel micro-data of Israeli firms between 2006 and 2015 to calculate Corporate Laffer Tax rate. During this period, the corporate tax rate was gradually reduced, and raised back at the end of the sample. We first propose a theoretical model where three effects interact: a mechanical effect, a dynamic effect - related to opening and closing firms - and an efficiency effect on profits. We run regressions for opening and closing firms, and for profits, as a function of the corporate tax rate, together with a bunch of additional explanatory variables. Using the coefficients obtained from these regressions we estimate the Laffer tax rate, which is in a range between 32.5 and 38 percent – figures that fall into the range shown in the literature by using macro data. Concerning branches, we found that food service is characterized by a low Laffer tax rate (14 percent) while manufacturing by a high one (39 percent).
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