Arrow’s ‘Learning by Doing’ and Complexity Economics

Foundational Papers in Complexity Science pp. 581–609
DOI: 10.37911/9781947864528.18

Arrow’s “Learning by Doing” and Complexity Economics

Author: John Geanakoplos, Yale University and Santa Fe Institute

 

Excerpt

In the 1950s and early 1960s, Bob Solow and other economists built a canonical model of economic growth that made it clear that neither the extraordinary rise in output over the previous two centuries, nor the astounding difference in income across countries, could be explained simply by differences in the accumulation of productive machines or capital. Technological progress had to be the missing factor. But how to model it? Solow et al. made technological progress an exogenous function of time, like Moore’s Law.

Kenneth Arrow (1962) began his paper by saying that “trend projections are basically a confession of ignorance, and what is worse, from a practical viewpoint, they are not policy variables.” He then launched into an interdisciplinary synopsis of learning theories, concluding from them that learning is a product of experience in solving new problems, not repetitive ones. He was also struck by the finding of the aeronautical engineer T. P. Wright (1936) that the labor hours required for the construction of the Nth airframe seem to be a precise decreasing function bN^(−1/3). Similar findings by Hirsch (1956) in other industries led to the notion of the learning curve, which seemed to suggest that building more of the same thing leads to learning.

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