RT Journal Article
SR 00
ID 10.1111/1756-2171.12464
A1 Gomes, Renato
A1 Pavan, Alessandro
T1 Price customization and targeting in matching markets
JF RAND Journal of Economics
YR 2024
FD 2024-06-11
VO vol.55
IS n°2
SP 230
OP 265
AB We introduce a model of (platform-mediated) many-to-many matching in which agents' preferences are both vertically and horizontally differentiated. We first show how the model can be used to derive the profit-maximizing matching plans under customized pricing. We then investigate the implications for targeting and welfare of uniform pricing (be it explicitly mandated or induced by privacy regulation), preventing the platform from conditioning prices on agents' profiles. The model can be applied to study ad exchanges, online retailing, and media markets.
PB Rand corp
SN 0741-6261
LK https://publications.ut-capitole.fr/id/eprint/49575/
UL http://tse-fr.eu/pub/129604