Price Customization and Targeting in Matching Markets

Working Paper: CEPR ID: DP12936

Authors: Renato Gomes; Alessandro Pavan

Abstract: We investigate the effects on targeting and welfare of uniform pricing (be it explicitly mandated, induced by privacy regulations, or the result of the transition from a centralized to a decentralized market structure). We build a model of many-to-many matching in which preferences are both vertically and horizontally differentiated. In the absence of uniform-price obligations, platforms maximize profits through price customization, using information on local elasticities. We show how uniform pricing may either increase or decrease targeting, and identify conditions under which it is beneficial to consumer surplus. The analysis has implications for online retailing, ad exchanges, and media markets

Keywords: many-to-many matching; asymmetric information; platforms; incentives; price discrimination

JEL Codes: D82


Causal Claims Network Graph

Edges that are evidenced by causal inference methods are in orange, and the rest are in light blue.


Causal Claims

CauseEffect
uniform pricing (D41)targeting (L21)
uniform pricing (D41)consumer surplus (D46)
uniform pricing (D41)equilibrium level of targeting (E61)
match-demand elasticities vary with location (R22)targeting (L21)

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