David Laibman

David Laibman (born December 25, 1942) is Professor Emeritus of Economics at Brooklyn College and the Graduate Center, City University of New York. He received a Ph.D. in Economics in 1973 at the Graduate Faculty of the New School for Social Research in New York. His dissertation, The Invariance Condition for Value-Price Transformation in a Linear, Non-Decomposable Two-Sector Model, dealt with problems in Marxist value theory. Laibman teaches economic theory, political economy, and mathematical economics, at the undergraduate, masters, and doctoral levels at CUNY.

He is the Editor of Science & Society, a quarterly Marxist journal founded in 1936.

Laibman is the author of five books:

1. Value, Technical Change and Crisis: Explorations in Marxist Economic Theory (1992),

2. Capitalist Macrodynamics: A Systematic Introduction (1997),

3. Deep History: A Study in Social Evolution and Human Potential (2007),

4. Political Economy After Economics: Scientific Method and Radical Imagination (2012), and

5. Passion and Patience: Society, History, and Revolutionary Vision (2015).[2]

He is also a fingerstyle guitarist.

(Source: Wikipedia)

1974 Values and Prices of Production: The Political Economy of the Transformation Problem
Science & Society, Vol. 37, No. 4 (Winter, 1973/1974), pp. 404-436

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2002: Value and the Quest for the Core of Capitalism

Despite its exasperating opacity and lack of closure, the
value debate has a vital objective: to grasp those defining aspects
of capitalist society that do not appear on the visible surface
space of conscious individual actors. In pursuit of this
objective, careful conceptual analysis reveals that the longstanding
“transformation problem” is misconceived; that the laborvalue
dimension in the abstract capitalist economy is determinate
and unique. This solution to age-old puzzles enables us to renew
the study of the relation between labor-as-value and the homeostatic
and systemic aspects of capitalist reproduction that cannot
be reduced to individual constrained optimization.

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