معرفی
Mian Dai is an Associate Professor in the Department of Economics at Drexel University's LeBow College of Business. His research focuses on empirical industrial organization, managerial economics, and applied econometrics, with applications in healthcare, banking, transportation, and financial markets. He has published in top-tier economics journals including The Review of Economics and Statistics, Canadian Journal of Economics, and Journal of Banking and Finance.
Research Interests: Dr. Dai specializes in analyzing market competition, price regulation, product differentiation, and market power. His work often leverages empirical methods to understand firm behavior and regulatory impacts in industries such as dialysis care, airlines, banking, and venture capital. He investigates non-linear relationships, such as non-monotonic effects of competition on specialization and price dispersion.
Publication Trends: His recent and past publications demonstrate a consistent focus on empirical industrial organization, using real-world data to test theoretical models. Key themes include regulation in healthcare, trade effects of free trade agreements, home bias in automotive markets, and efficiency in retail banking. The methodological backbone of his research is applied econometrics, often using structural or reduced-form models.
- Scientific Awards:
- Excellence in Research Award, Drexel University (2013)
Advising and Grants: While no specific students or grant funding are mentioned in the provided text, Dr. Dai’s active publication record in high-impact journals suggests involvement in research mentorship and potential grant-supported work. As a faculty member at a research-intensive university, he likely advises graduate students and contributes to academic training in economics.
Labs and Research Teams: No specific research labs or teams are mentioned in the provided content. However, his collaborative publications suggest he works with co-authors across institutions, indicating active participation in academic research networks.
