“Marshall Lecture 2020: The Measure of Monopsony”
Monica Langella, Alan Manning
Abstract
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Monica Langella, Alan Manning
Abstract
Open-access reader
Abstract There has been increasing interest in recent years in monopsony in the labour market. This paper discusses how we can measure monopsony power by combining insights from models based on both frictions and idiosyncrasies. It presents some evidence from the United Kingdom and the United States about how monopsony power varies across the wage distribution within markets, over the business cycle and over time.
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Abstract There has been increasing interest in recent years in monopsony in the labour market. This paper discusses how we can measure monopsony power by combining insights from models based on both frictions and idiosyncrasies. It presents some evidence from the United Kingdom and the United States about how monopsony power varies across the wage distribution within markets, over the business cycle and over time.
Key concepts: Monopsony, Economics, Measure (data warehouse), Wage, Power (physics), Business cycle, Microeconomics, Econometrics