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Dynamic programming squared

Date: 10:30 08 November 2012 - 15:00 09 November 2012
Type: Masterclass
Tutor: Thomas J. Sargent NYU
Venue: UCL, Roberts Bulding
Prices: HE delegates: £90; other delegates: £720; All prices are exclusive of VAT


This class will teach a method that Ljungqvist and Sargent (Recursive Macroeconomic Theory, Third Edition, MIT Press, 2012) call 'dynamic programming squared'. In this method, a dynamic programming problem contains among its state variables the value function for another dynamic programming problem. This method involves some technicalities that, when mastered, empower an economist to attack a variety of challenging problems. The class will teach DP2 by indicating its power for studying Ramsey and Stackelberg problems; problems where enforcement constraints and limited information impair incentive feasible allocations; and settings where reputation can be a more or less imperfect substitute for commitment. The text for the class will be parts of chapters 19, 20, 22, and 23 of Ljungqvist-Sargent.

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