Mark Doms was the Under Secretary of Commerce for Economic Affairs for the Department of Commerce from January 2013 until September 2015. He was nominated by President Barack Obama on September 13, 2012 and was confirmed by the Senate on January 1, 2013 as one of the last acts of the 112th Congress. Prior to his confirmation, he was the United States Department of Commerce's Chief Economist.
As the Under Secretary, Doms contributed to policies and discussions on a wide range of issues including trade, manufacturing, taxation, innovation, competitiveness, retirement security, immigration, and education. Doms also led the Economics and Statistics Administration (ESA), which includes the Census Bureau and the Bureau of Economic Analysis (BEA). Both agencies collect and produce information on the United States' population and economy. Doms also served as the Secretary's appointed Board Representative to the Pension Benefit Guarantee Corporation.
From 2009 until he was confirmed by the U.S. Senate as Under Secretary for Economic Affairs, Doms was the Chief Economist at the Department of Commerce. Prior to his appointment as Chief Economist, Doms worked as a Senior Economist at the Federal Reserve Bank of San Francisco, and was previously in the Research and Statistics Division of the Board of Governors, where he was a researcher in the areas of innovation, productivity, wages, manufacturing, and price measurement. Doms also spent time at the Organization for Economic Co-operation and Development, and in the early 1990s worked at the Center for Economic Studies in Census. He holds a Ph.D in economics from the University of Wisconsin-Madison and B.A. from the University of Maryland Baltimore County in mathematics and economics.
In September 2016, Doms joined the Japan-based financial firm Nomura as a senior economist and managing director.
Along with Norman Morin, he created indexes based on the number of articles that contain certain keywords and phrases in the title or first paragraph in the thirty largest newspapers across the US. For instance, the "recession index" is based on the number of articles that mention "recession" or "economic slowdown".