As a Ph.D. candidate in Economics at Syracuse University, my research interests span econometrics, labor, and real estate economics, with a particular focus on examining the intersection of economic behavior and policy interventions in the labor market and housing sectors.

In addition to my academic pursuits, I have gained valuable practical experience as an Economist Intern at Amazon and a Volunteer Economist at IFWF. At Amazon, I improved the customer engagement index to measure shoppers' long-term satisfaction, using a surrogate-index framework and a double machine learning approach, and validated it through causal effect analysis on customer-randomized experiments. At IFWF, I write and translate articles for their financial literacy program, covering topics such as the U.S. economy, the impact of inflation, and compound interest.

I am passionate about applying my analytical and computational skills to solve real-world problems and generate meaningful insights. I am also motivated by the opportunity to teach and share my knowledge with others. My core competencies include econometric modeling, causal inference, Python, R, and SQL, Python.

Contact: fyang08[at]syr[dot]edu

Alternative email: yangfred94[at]gmail[dot]com