2020
DOI: 10.1016/j.euroecorev.2020.103505
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Taxing away M&A: Capital gains taxation and acquisition activity

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Cited by 23 publications
(12 citation statements)
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“…The dynamics of mergers and acquisitions have been affected by regulatory restrictions adopted by a number of countries to protect their companies from acquisitions by foreign investors [18]. It has been proven that raising the capital gains tax rate reduces activity in concluding mergers and acquisitions [19]. In turn, the reduced number and volume of mergers and acquisitions lead to a reduction in total foreign direct investment, the defining characteristic of which is to ensure control over the object of their placement.…”
Section: Discussionmentioning
confidence: 99%
“…The dynamics of mergers and acquisitions have been affected by regulatory restrictions adopted by a number of countries to protect their companies from acquisitions by foreign investors [18]. It has been proven that raising the capital gains tax rate reduces activity in concluding mergers and acquisitions [19]. In turn, the reduced number and volume of mergers and acquisitions lead to a reduction in total foreign direct investment, the defining characteristic of which is to ensure control over the object of their placement.…”
Section: Discussionmentioning
confidence: 99%
“…More generally, PPML has been employed to estimate models for durations (Abboud et al 2016 andCall et al 2018), investment in R&D (Cowan et al 2015, andGuceri andLiu 2015), debt (Oksanen et al, 2015 andMori 2021), losses and returns (Levieuge et al (2021), andPaniagua et al (2018)), value of mergers and acquisitions (Todtenhaupt et al 2020), values of illicit drug sales (Nurmi et al 2017), wind power capacity (Goetzke and Rave 2016), and to estimate models evaluating the effects of wild fires (Eskelson et al 2016 andPeterson et al 2019).…”
Section: Simulations and Applicationmentioning
confidence: 99%
“…The authors also show that their estimator is a good way to deal with zeros in the dependent variable. The method is frequently used for trade data (Santos Silva and Tenreyro 2006), but also has applications in estimating effects on merger and acquisition deals (Todtenhaupt et al 2020). Public procurement data is essentially count data.…”
Section: Empirical Modelmentioning
confidence: 99%