You’ve Got Mail: A Randomized Field Experiment on Tax Evasion
Author(s) -
Kristina Maria Bott,
Alexander W. Cappelen,
Erik Ø. Sørensen,
Bertil Tungodden
Publication year - 2019
Publication title -
management science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 4.954
H-Index - 255
eISSN - 1526-5501
pISSN - 0025-1909
DOI - 10.1287/mnsc.2019.3390
Subject(s) - taxpayer , tax evasion , margin (machine learning) , randomized experiment , evasion (ethics) , economics , sample (material) , psychology , public economics , computer science , medicine , statistics , macroeconomics , mathematics , chemistry , immune system , chromatography , machine learning , immunology
We report from a large-scale randomized field experiment conducted on a unique sample of more than 15,000 taxpayers in Norway, who were likely to have misreported their foreign income. We find that the inclusion of a moral appeal or a sentence that increases the perceived probability of detection in a letter from the tax authorities almost doubled the average self-reported foreign income. The moral letter mainly works on the intensive margin, while the detection letter mainly works on the extensive margin. We also show that the detection letter has large long-term effects on tax compliance.
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