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α: calibrated so average coauthorship-adjusted count equals average raw count
I study the positive relationship between prices of tradable goods and per capita income. I develop a highly tractable general equilibrium model of international trade with heterogeneous firms and non-homothetic consumer preferences that positively links prices of tradables to consumer income. Guided by the model's testable prediction, I estimate the elasticity of price with respect to per capita income from a unique data set that I construct, which features prices of 245 identical goods sold in 29 European, Asian, and North American markets via the Internet by Spain's second largest apparel manufacturer—Mango. I find that doubling a destination's per capita income results in an 18% increase in the price of identical items sold there. Per capita income differences account for a third, whereas shipping cost differences can explain up to a third of the cross-country price variations of identical items purchased via the Internet by consumers who do not take advantage of quantity discounts. The price elasticity estimates compare favourably to estimates that I obtain from a standard data set that features prices across retail locations around the world, suggesting that variable mark-ups play a key role in accounting for observed cross-country differences in prices of tradables.