G2TT
来源类型Discussion paper
规范类型论文
来源IDDP10483
DP10483 Measuring the Shadow Economy: Endogenous Switching Regression with Unobserved Separation
Randall K. Filer; Jan Hanousek
发表日期2015-03-08
出版年2015
语种英语
摘要We develop an estimator of unreported income that relies on much more flexible identifying assumptions than those underlying previous estimators of the shadow economy using household-level data. Assuming only that evading households have a higher consumption-income gap than non-evaders in surveys, an endogenous switching model with unknown sample separation enables the estimation of both the probability of hiding income and the expected amount of unreported income for each household. Using data from Czech and Slovak household budget surveys, we find the size of the shadow economy to be substantially larger than estimated using other techniques. These results are robust under a number of alternative specifications.
主题Public Economics
关键词Consumption-income gap Tax evasion Underreporting
URLhttps://cepr.org/publications/dp10483
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/539315
推荐引用方式
GB/T 7714
Randall K. Filer,Jan Hanousek. DP10483 Measuring the Shadow Economy: Endogenous Switching Regression with Unobserved Separation. 2015.
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