New Books In Systems And Cybernetics

Neoclassical economic theory shows that under the right conditions, prices alone can guide markets to efficient outcomes. But what if it it’s hard to find the right price? In many important markets, a buyer’s willingness to pay for one good (say, the right to use a certain part of the radio spectrum range in San Francisco) will depend on the price of another complementary good (the right to use that same spectrum in Los Angeles). The number of possible combinations can rapidly become incalculably complex. Such complex markets require new collaborations between economists and computer scientists to create designs that are both incentive compatible and computationally tractable. In Discovering Prices: Auction Design in Markets with Complex Constraints (Columbia UP, 2017), 2020 Economics Nobel Memorial Prize winner Paul Milgrom discusses some of the new economics theory he has developed to help address these challenging contexts, in which neither unfettered market forces nor top-down planning will work well. In