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Axinn says data show incidents of sexual assault start at 'very young age'

Miech on 'generational forgetting' about drug-use dangers

Impacts of H-1B visas: Lower prices and higher production - or lower wages and higher profits?

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Highlights

Call for papers: Conference on computational social science, April 2017, U-M

Sioban Harlow honored with 2017 Sarah Goddard Power Award for commitment to women's health

Post-doc fellowship in computational social science for summer or fall 2017, U-Penn

ICPSR Summer Program scholarships to support training in statistics, quantitative methods, research design, and data analysis

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Next Brown Bag

Mon, Feb 13, 2017, noon:
Daniel Almirall, "Getting SMART about adaptive interventions"

Estimating tax noncompliance with evidence from unaudited tax returns

Archived Abstract of Former PSC Researcher

Feldman, Naomi E., and Joel Slemrod. 2007. "Estimating tax noncompliance with evidence from unaudited tax returns." Economic Journal, 117(51): 327-352.

This article estimates the degree of tax noncompliance using evidence from unaudited tax returns. Measurements of noncompliance are derived from the relationship between reported charitable contributions and reported income from wages and salary as compared to alternative reported income sources such as self-employment, farm and other small business income. Assuming that the source of one's income is unrelated to one's charitable inclinations and that the ratio of true income to taxable income does not vary by income source, any difference in the relationship between charitable contributions and the source of income can be attributed to (relative) underreporting by the individual. We find that the implied amount of noncompliance is significant and that it varies by source of income, as well as between positive and negative values of each type of income.

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