Michael Udell is the founder and Managing Member of District Economics Group, LLC. The company, which was started in 2013, focuses on helping clients navigate the data and economics issues of Congressional legislative proposals. Mike’s career in federal tax policy began in 1985 at the IRS estimating the tax gap using the Taxpayer Compliance Measurement Program data and continued from 1991 through 2008 at the Congressional Joint Committee on Taxation (JCT) providing revenue estimates of federal tax legislation. While at the JCT where he developed several estimating models for excise taxes, the estate and gift taxes, and individual income taxes. During that time he also was responsible for revenue estimates for tax compliance proposals, including the IRS Restructuring and Reform Act of 1998 and economic substance legislation. At JCT, he worked closely with the Congressional Budget Office to coordinate the Joint Committee’s micro-simulation model for individual income taxes with the CBO’s model of health care expenditures to account for identity theft in preparation for the consideration of Congressional legislation. From 2009 through 2012 Mike was a senior manager at Ernst & Young LLP where he launched the firm’s practice in the medical device excise tax.
Mike earned a B.A. from the University of Pennsylvania and a PhD from Caltech. When Mike is not thinking about tax policy, he enjoys sailing in Annapolis, where he lives.
Matthew Fellows is a Data Analytics Manager at District Economics Group where he assists with the formulation and application of models of federal tax liabilities and tax receipts. Matt also develops business methods and procedures to efficiently update models for revised data and for changes in tax law.
Prior to working at DEG, Matt was a research assistant in the Real Estate Finance section at the Federal Reserve in Washington DC. As a research assistant, Matt contributed analysis and presentation slides for financial briefings to Federal Reserve board members, assisted with his section’s forecast of house prices, and monitored and analyzed key indicators to ensure that the housing market was stable. He also used SAS and R to create new residential real estate indicators by analyzing databases with millions of observations, and he developed automated processes to update and then visually display these indicators.
Matt received a B.S. in mathematics and economics from Trinity College in 2015 where he played on the club soccer team. Matt still enjoys playing soccer on the weekends in Washington, DC.