Home > Research . Search . Country . Browse . Small Grants

PSC In The News

RSS Feed icon

Thompson says America must "unchoose" policies that have led to mass incarceration

Axinn says new data on campus rape will "allow students to see for themselves the full extent of this problem"

Frey says white population is growing in Detroit and other large cities


Susan Murphy to speak at U-M kickoff for data science initiative, Oct 6, Rackham

Andrew Goodman-Bacon, former trainee, wins 2015 Nevins Prize for best dissertation in economic history

Deirdre Bloome wins ASA award for work on racial inequality and intergenerational transmission

Bob Willis awarded 2015 Jacob Mincer Award for Lifetime Contributions to the Field of Labor Economics

Next Brown Bag

Monday, Oct 5 at noon, 6050 ISR
Colter Mitchell: Biological consequences of poverty

How to Tax Family Firms

a PSC Research Project [ARCHIVE DISPLAY]

Investigator:   Joel Slemrod

We propose to study the special problems posed for taxation by family firms in four steps. First, we will construct a formal model of family firms, stressing their role in overcoming agency problems in a low-trust environment and facilitating tax evasion. Second, we will formalize the problems this business structure poses for tax enforcement and the ways that governments can effectively collect revenue in the presence of such business structures. Third, in the context of the model we will examine what would be the most effective enforcement and collection methods, which we suspect will go beyond traditional instruments such as tax audits and penalties to cover third-party reporting and remittance of revenue by government and large firms and involving the financial sector. Finally, we will outline (but not implement) an empirical project that will test the hypotheses generated by the theoretical modeling, including what data would need to be collected and how it will be analyzed.

Funding Period: 08/21/2009 to 12/31/2011

This PSC Archive record is displayed for historical reference.

Search . Browse