Kevin Lang

Kevin Lang (born February 16, 1955) is a professor of Economics at Boston University. He is also an elected Fellow of the Society of Labor Economists and a Research Associate of the National Bureau of Economic Research (NBER).[1] He is the author of Poverty and Discrimination and over 100 papers and articles on topics in Labor Economics.[1][2]

Kevin Lang
BornFebruary 16, 1955
Alma materOxford University
University of Montreal
Massachusetts Institute of Technology
Spouse(s)Shulamit Kahn
Children2
Scientific career
FieldsEconomics
InstitutionsUniversity of California, Irvine
Boston University
Doctoral studentsKasey Buckles
Websitehttp://people.bu.edu/lang/

Lang received his BA in Philosophy, Politics and Economics (PPE) from Oxford University, his MSc in economics from the University of Montreal, and his PhD in economics from the Massachusetts Institute of Technology in 1982. He went on to become an assistant professor at the University of California, Irvine, and he spent a year serving as an Olin Foundation Fellow at the NBER. In 1987, he joined the faculty at Boston University, where he served as chair of the economics department from 2005-2009.[1] His recent research has focused on the economics of labor markets and education, including topics such as discrimination, unemployment,[3] the relation between education and earnings,[4] and the relation between housing prices, taxes and local services.

Lang lives with his wife, Shulamit Kahn, in Brookline, Massachusetts, where he is also active in local politics. He served as an elected member of the Brookline School Committee from 1999-2009.[5]

Bibliography

  • Kevin Lang (11 February 2011). Poverty and Discrimination. Princeton University Press. ISBN 9780691119540.
gollark: As I said, technological advances allow more stuff from the same resource input.
gollark: You can measure historical GDP, ish, and it's way lower than we have now, despite them having access to the same planet to work with.
gollark: Except it isn't really.
gollark: I mean, outside of toy models or whatever.
gollark: Maybe you could make a good scifi thing a hundred years in the future or something about faster computers/better optimization algorithms/distributed system designs/something making central planning more tractable. Although in the future supply chains will probably be even more complex. But right now, it is NOT practical.

References


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