The effects of business and payroll taxes on firms and workers: evidence from linked employer-employee data
The effects of business and payroll taxes on firms and workers: evidence from linked employer-employee data
批准号:
ES/R005745/1
负责人:
Uta Schoenberg
金额:
$102.12万
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2018
资助国家:
英国
项目状态:
已结题
起止时间:
2018 至 --
中文摘要
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英文摘要
While the average rate of corporation tax amongst OECD countries was close to 50 percent in the early 1980's, it had fallen to below 25 percent by 2015. Moreover, competition to attract inward investment through cuts in business and payroll taxes is likely to intensify in the near future. In the UK, Prime Minister Theresa May has suggested that Britain is to have the lowest corporate tax rate among the world's 20 largest economies, and in the US, President Donald Trump is seeking a dramatic reduction in the rate of corporation tax to around 15 percent. Advocates of a reduction in business or payroll taxes argue that it will lead to an increase in firm profits and thereby affect firms' location decisions and hence employment levels. Opponents, on the other hand, claim that such taxes are shifted either onto workers' wages or consumer prices, and hence will not alter firms' location decisions. Even if tax reductions have a positive effect on employment, governments might face a trade-off between job creation and tax revenues; while business and payroll taxes may indirectly boost tax revenues through increased employment and wages, they directly reduce tax revenues. Unless the indirect positive effects dominate the direct negative effects, tax reductions will result in a decrease in tax revenues and public spending. Therefore, a thorough understanding of the overall effects on employment, wages and tax revenues of cutting taxes levied on businesses is crucial for governments to make informed policy choices. This project aims to improve our understanding of firms' adjustments in response to changes in two types of taxes levied on firms: business taxes (levied on profits) and payroll taxes. Employing rare and detailed administrative data linking firms and workers and following them over a prolonged period of time, we will analyse the causal effects of changes in business and payroll taxes on firm adjustments, including the demand for labour (hiring and firing), wages, investments, product price setting, firm entry and exit. Furthermore, we will look at whether workers respond by migrating. Based on our thorough understanding of the responses of firms and workers, we will simulate the overall effects of business and payroll tax changes on tax revenues, taking into account both the direct and indirect effects.A particular strength of our analysis, besides using unusually rich longitudinal administrative data on firms and workers, is the proposed research designs. We exploit policy changes induced by national-level regulations that generated tax changes of different magnitudes across local labour markets. These changes were unrelated to local economic conditions, and our research designs hence allow us to separate out the causal effects of tax changes from confounding factors.The scientific output of the proposed research is aimed at publication in top academic journals, and we expect our contributions to significantly advance the academic debate on business and payroll taxation, firm behaviour and labour market outcomes of workers. Moreover, a thorough understanding of the overall effects on employment and tax revenues of cutting business and payroll taxes is crucial for governments to make informed policy choices. We expect the results from our proposed research to have direct policy relevance to governments, the business community as well as to central banks, and international institutions such as the EU, Organisation for Economic Co-operation and Development (OECD), the World Bank, The International Monetary Fund (IMF) and NGO's.
期刊论文(3)
专著(0)
科研奖励(0)
会议论文
DOI:
10.1016/j.jpubeco.2019.104105
发表时间:
2020-11-01
期刊:
JOURNAL OF PUBLIC ECONOMICS
影响因子:
9.8
作者:
[Ku, Hyejin, Schonberg, Uta, Schreiner, Ragnhild C.]
通讯作者:
Schreiner, Ragnhild C.
Seeing Beyond the Trees: Using Machine Learning to Estimate the Impact of Minimum Wages on Labor Market Outcomes
超越树木:利用机器学习来估计最低工资对劳动力市场结果的影响
DOI:
10.3386/w28399
发表时间:
期刊:
影响因子:
--
作者:
[Cengiz D]
通讯作者:
Cengiz D
DOI:
10.1086/716347
发表时间:
2022
期刊:
Journal of Labor Economics
影响因子:
3.8
作者:
[Ku H]
通讯作者:
Ku H
海外基金