William Mc Clain
About William Mc Clain
William Mc Clain is a Research Economist at Fannie Mae, with extensive experience in economic modeling, applied econometrics, and demographic forecasting.
Current Position at Fannie Mae
William Mc Clain serves as a Research Economist at Fannie Mae. In this role, he specializes in long-term demographic forecasting and economic modeling for climate change in housing markets. His responsibilities include developing quantitative empirical research methodologies to address issues within complex legal, political, and market environments.
Previous Experience at Bureau of Labor Statistics
Prior to his current role, William Mc Clain worked as an Economist at the Bureau of Labor Statistics from 2019 to 2021. During his tenure, he focused on industrial prices and price indexes, utilizing applied econometrics for causal inference, sample design and selection, index methodology, and time series panel price microdata analysis.
Academic Roles at Purdue University
William Mc Clain has an extensive teaching background from Purdue University. He served as an Instructor from 2017 to 2018, a Teaching Assistant from 2016 to 2019, and a Graduate Research Assistant from 2015 to 2017. His academic roles involved substantial research and instruction in agricultural economics.
Global Academic Experience at Universität Hohenheim
From 2013 to 2015, William Mc Clain gained international academic experience at Universität Hohenheim in Stuttgart, Germany. He worked as a Graduate Research Assistant and held multiple tutoring positions in subjects such as Microeconomics, Econometrics, Farm Systems Modeling, and Farm and Project Evaluation.
Educational Background
William Mc Clain holds a Doctor of Philosophy (Ph.D.) in Agricultural Economics from Purdue University, obtained from 2015 to 2019. He earned a Master of Science (MSc) in Agricultural Economics from the University of Hohenheim from 2012 to 2014. Additionally, he holds a Bachelor of Business Administration in Accounting from Woodbury University (2010-2012) and from William & Mary (2004-2007).