Abstract This paper uses administrative panel micro-data of Israeli firms between 2006 and 2015 to simulate corporate tax rates at Laffer Curve's peak. 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 related to profits. We run regressions for opening and closing firms, and for profits, as a function of the effective corporate tax rate, together with a bunch of additional explanatory variables. Using the coefficients obtained from these regressions we estimate the tax rate at the Laffer Curve's peak between 26 and 38 percent – which is within the range shown in the literature based on macro data. Concerning branches, we found that food services is characterized by a low tax rate at the peak of the Laffer Curve (14 percent) while manufacturing is characterized by a high one (39 percent).

中文翻译：

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使用微数据模拟拉弗曲线峰值处的公司税率

摘要本文利用2006年至2015年以色列公司的行政管理小组微观数据来模拟拉弗曲线峰值时的公司税率。我们首先提出一种理论模型，其中三个效应相互作用：机械效应，与开放和关闭公司有关的动态效应以及与利润有关的效率效应。我们根据有效公司税率以及其他一些解释性变量对开业和关闭公司以及利润进行回归分析。使用从这些回归中获得的系数，我们可以估算拉弗曲线峰值处的税率在26％到38％之间，该税率处于基于宏观数据的文献所示范围内。关于分支机构