Cameron Greene

Cameron Greene is an applied microeconomist focusing on education and labor. He works with Biasi to analyze how higher education has responded to the growing importance of soft skills in the labor market. He found evidence of grade inflation, which motivated a structural model of how instructor incentives shape grading policies, and conducted empirical analyses to estimate the model. With Zimmerman, Cameron is building a dataset on school system leaders. He created a program that collects the names of over 99% of U.S. public superintendents. He also submitted FOIA requests to all 50 states and collected staffing data from over 30 states.

In his independent research, Cameron has documented teacher pay structure reforms among 150 large U.S. districts during the COVID era. Building on this, he aims to examine how districts respond to labor market conditions, exploiting cross-sectional variation in exposure to local shocks. This would be among the first work on the labor market determinants of shifts to flexible teacher pay.

Cameron graduated with Distinction in Economics from Yale University. He worked as a research assistant for William Nordhaus. He has held research positions at Harvard Business School, the President’s Council of Economic Advisers, the U.S. Department of the Treasury, and the Brookings Institution.