HKUEMS :: Event Details

Seminar on Strategy & IB by Professor David Dorn (Sept 15, Friday)
posted by School of Business for HKU and Public
Event Type: Public Lecture/Forum/Seminar/Workshop/Conference/Symposium
Event Nature: Business & Economics

Event Details

Strategy & IB Seminar
School of Business

Topic:
The Fall of the Labor Share and the Rise of Superstar Firms


Speaker:
Professor David Dorn
Professor of International Trade and Labor Markets
Department of Economics
University of Zurich


Abstract:

The fall of labor’s share of GDP in the United States and many other countries in recent decades is well documented but its causes remain uncertain. Existing empirical assessments of trends in labor’s share typically have relied on industry or macro data, obscuring heterogeneity among firms. In this paper, we analyze micro panel data from the U.S. Economic Census since 1982 and international sources and document empirical patterns to assess a new interpretation of the fall in the labor share based on the rise of “superstar firms.” If globalization or technological changes advantage the most productive firms in each industry, product market concentration will rise as industries become increasingly dominated by superstar firms with high profits and a low share of labor in firm value-added and sales. As the importance of superstar firms increases, the aggregate labor share will tend to fall. Our hypothesis offers several testable predictions: industry sales will increasingly concentrate in a small number of firms; industries where concentration rises most will have the largest declines in the labor share; the fall in the labor share will be driven largely by between-firm reallocation rather than (primarily) a fall in the unweighted mean labor share within firms; the between-firm reallocation component of the fall in the labor share will be greatest in the sectors with the largest increases in market concentration; and finally, such patterns will be observed not only in U.S. firms, but also internationally. We find support for all of these predictions.

Date/Time15/09/2017 10:30-12:00
VenueKK910, 9/F., K.K. Leung Building, The University of Hong Kong
LanguageEnglish

Registration Instruction

Registration is not required.

Contact Information

Should you have any enquiries, please feel free to contact Yuki Chan by email at cyuki@hku.hk