서울대 경제학부 BK21 교육연구단에서 해외 저명 학자들과 함께하는 BK Masterclass Series를 운영하고 있습니다.

본 강연 시리즈는 학계를 선도하는 해외 석학들이 대학원생 및 학부생을 대상으로 최신 경제학 연구 흐름을 직접 전달하기 위해 마련되었습니다.

7월에는 아래 교수님들을 모시고 다음과 같이 세미나를 개최하오니, 관심 있는 분들의 많은 참석 부탁드립니다.

We are pleased to announce that the BK21 Education and Research Group of the Department of Economics at Seoul National University will be hosting the BK Masterclass Series, featuring distinguished scholars from overseas.

This lecture series is designed to provide graduate and undergraduate students with an opportunity to learn directly from leading international scholars about the latest research trends in economics.

In July, we will hold seminars with the following professors as detailed below. We warmly encourage all interested students and faculty members to attend.

1. 송동호 교수님 (존스홉킨스대, Johns Hopkins University)

   • 일정: 7월 14일 오후 1시–3시

   • 장소: 16동 338호

   • 주제: Prediction Markets and Economic Forecasting: Measuring Expectations in Real Time

   • 내용: This mini course introduces prediction markets, with a focus on their use in forecasting economic outcomes such as inflation, interest rates, employment, and elections. The course examines how market-implied probabilities evolve over time and what they reveal about information and expectations.

2. 고아미 교수님 (조지타운대, Georgetown University)

   • 일정: 7월 16일 오후 1시–3시

   • 장소: 16동 338호

   • 주제: Insuring Old-Age Risk: Families, Markets, and Government

   • 내용: This lecture introduces how individuals cope with financial risks related to health and aging. We examine how family support, private insurance, and government programs interact in managing these risks, and what this implies for the design of insurance markets and public policy.

3. 권순우 교수님 (브라운대, Brown University)

• 일정: 7월 21일, 7월 23일 오후 3시–5시

• 장소: 16동 338호

• 주제: Empirical Bayes Methods in Economics

• 내용: This lecture series introduces Empirical Bayes (EB) and related methods, emphasizing both their theoretical properties and applications in empirical economics. Topics include, among others, James-Stein shrinkage, hierarchical modeling, nonparametric EB, Stein’s unbiased risk estimate, and the use of EB posteriors in regression settings