Georgia Perakis

Sloan School of Management
Cambridge, MA 02142

E-Mail: EmailAddress: hidden: you can email any NBER-related person as first underscore last at nber dot org
Institutional Affiliation: M.I.T.

NBER Working Papers and Publications

October 2015Pricing with Limited Knowledge of Demand
with Maxime C. Cohen, Robert S. Pindyck: w21679
How should a firm price a new product for which little is known about demand? We propose a simple pricing rule: the firm only estimates the maximum price it can charge and still expect to sell at least some units, and then sets price as though the actual demand curve were linear. We show that if the true demand curve is one of many commonly used demand functions, or even if it is a more complex function, and if marginal cost is known and constant, the firm can expect its profit to be close to what it would earn if it knew the true demand curve. We derive analytical performance bounds for a variety of demand functions, and calculate expected profit performance for randomly generated demand curves.

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