What is the Long-Term Value of Reliability?
Chenyu Qiu,
Xu Kuang,
Inessa Liskovich,
Ali Rauh and
Stefan Wager
Papers from arXiv.org
Abstract:
We describe Chronos LTV, a system to measure the long-term impact of delays and other service defects on key business metrics. We use Markov decision processes to model customer interactions over time, and formalize our target estimand as the marginal policy effect with respect to moving the average delay rate. Given this setup, we show that we can identify long-term effects under a sequential unconfoundedness assumption where delays are as good as random given observed order characteristics; and can estimate these effects using a simple covariate-balancing algorithm.
Date: 2026-06
References: Add references at CitEc
Citations:
Downloads: (external link)
http://arxiv.org/pdf/2606.11526 Latest version (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:arx:papers:2606.11526
Access Statistics for this paper
More papers in Papers from arXiv.org
Bibliographic data for series maintained by arXiv administrators ().