Abstract
We model differentiated product pricing by firms that possess private information about serially-correlated state variables, such as their marginal costs, and can use prices to signal information to rivals. In a dynamic game, signaling can raise prices significantly above static complete information Nash levels even when the privately observed state variables are restricted to lie in narrow ranges. We calibrate our model using data from the beer industry, and we show that our model can explain changes in price levels and price dynamics after the 2008 MillerCoors joint venture. Institutional subscribers to the NBER working paper series, and residents of developing countries may download this paper without additional charge at www.nber.org.
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