Demand curve estimation with pyBLP

17 Jun 2019

One of the most important quantitative problems in economics is demand curve estimation in differentiated product markets.  The best known modern algorithm is the so-called BLP method, due to Steven Berry, James Levinsohn and Ariel Pakes.  In a significant step forward for computational modeling, Chris Conlon and Jeff Gortmaker have developed a sophisticated Python implementation called pyBLP. A corresponding set of notebooks can be found at QE notes.

Published by: Anju Joon

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