Personalized pricing and the value of time: evidence from auctioned cab rides
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985998%3A_____%2F25%3A00636239" target="_blank" >RIV/67985998:_____/25:00636239 - isvavai.cz</a>
Nalezeny alternativní kódy
RIV/00216208:11640/25:00646383
Výsledek na webu
<a href="https://doi.org/10.3982/ECTA18838" target="_blank" >https://doi.org/10.3982/ECTA18838</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3982/ECTA18838" target="_blank" >10.3982/ECTA18838</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Personalized pricing and the value of time: evidence from auctioned cab rides
Popis výsledku v původním jazyce
We recover valuations of time using detailed data from a large ride-hail platform, where drivers bid on trips and consumers choose between a set of rides with different prices and wait times. Leveraging a consumer panel, we estimate demand as a function of both prices and wait times and use the resulting estimates to recover heterogeneity in the value of time across consumers. We study the welfare implications of personalized pricing and its effect on the platform, drivers, and consumers. Taking into account drivers' optimal reaction to the platform's pricing policy, personalized pricing lowers consumer surplus by 2.5% and increases overall surplus by 5.2%. Like the platform, drivers benefit from personalized pricing. By conditioning prices on drivers' wait times and not on consumers' data, the platform can capture a significant portion of the profits garnered from personalized pricing, and simultaneously benefit consumers.
Název v anglickém jazyce
Personalized pricing and the value of time: evidence from auctioned cab rides
Popis výsledku anglicky
We recover valuations of time using detailed data from a large ride-hail platform, where drivers bid on trips and consumers choose between a set of rides with different prices and wait times. Leveraging a consumer panel, we estimate demand as a function of both prices and wait times and use the resulting estimates to recover heterogeneity in the value of time across consumers. We study the welfare implications of personalized pricing and its effect on the platform, drivers, and consumers. Taking into account drivers' optimal reaction to the platform's pricing policy, personalized pricing lowers consumer surplus by 2.5% and increases overall surplus by 5.2%. Like the platform, drivers benefit from personalized pricing. By conditioning prices on drivers' wait times and not on consumers' data, the platform can capture a significant portion of the profits garnered from personalized pricing, and simultaneously benefit consumers.
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
—
OECD FORD obor
50201 - Economic Theory
Návaznosti výsledku
Projekt
—
Návaznosti
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Ostatní
Rok uplatnění
2025
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
Econometrica
ISSN
0012-9682
e-ISSN
1468-0262
Svazek periodika
93
Číslo periodika v rámci svazku
3
Stát vydavatele periodika
US - Spojené státy americké
Počet stran výsledku
30
Strana od-do
929-958
Kód UT WoS článku
001506053200008
EID výsledku v databázi Scopus
2-s2.0-105007667596