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来源类型Discussion paper
规范类型论文
来源IDDP5620
DP5620 A Parametric Estimation Method for Dynamic Factor Models of Large Dimensions
Massimiliano Marcellino; George Kapetanios
发表日期2006-04-04
出版年2006
语种英语
摘要This paper extends the theory and measurement of the marginal cost of public funds (MCF) to account for labour force participation responses. Our work is motivated by the emerging consensus in the empirical literature that extensive (participation) responses are more important than intensive (hours-of-work) responses. In the modelling of extensive responses, we argue that it is crucial to account for the presence of non-convexities created by fixed costs of work. In a non-convex framework, tax and transfer reforms give rise to discrete participation responses generating first-order effects on government revenue and the marginal cost of funds. Based on analytical expressions accounting for both margins of labour supply response, and allowing for heterogeneity in productivities and preferences, we calculate MCF for 15 European countries using micro data on taxes and benefits for each country. The MCF estimates depend crucially on the country under consideration and on the properties of the tax reform. In general, we find that extensive responses have very important effects on MCF, especially in the Scandinavian and the Central/Northern Continental European countries where participation tax rates are very high at the bottom of the distribution resulting from generous out-of-work benefits along with high tax rates on workers. For these countries, the estimated MCFs centre around 2 in the case of proportional tax changes.
主题Public Economics
关键词Labour supply Intensive and extensive responses Fixed work costs Taxation Income transfers Marginal welfare costs
URLhttps://cepr.org/publications/dp5620
来源智库Centre for Economic Policy Research (United Kingdom)
资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/534469
推荐引用方式
GB/T 7714
Massimiliano Marcellino,George Kapetanios. DP5620 A Parametric Estimation Method for Dynamic Factor Models of Large Dimensions. 2006.
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