Optimal and myopic information acquisition

Annie Liang, M. U. Xiaosheng, Vasilis Syrgkanis

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations
Original languageEnglish (US)
Title of host publicationACM EC 2018 - Proceedings of the 2018 ACM Conference on Economics and Computation
PublisherAssociation for Computing Machinery, Inc
Pages45-46
Number of pages2
ISBN (Electronic)9781450358293
DOIs
StatePublished - Jun 11 2018
Externally publishedYes
Event19th ACM Conference on Economics and Computation, EC 2018 - Ithaca, United States
Duration: Jun 18 2018Jun 22 2018

Publication series

NameACM EC 2018 - Proceedings of the 2018 ACM Conference on Economics and Computation

Other

Other19th ACM Conference on Economics and Computation, EC 2018
CountryUnited States
CityIthaca
Period6/18/186/22/18

All Science Journal Classification (ASJC) codes

  • Computer Science (miscellaneous)
  • Statistics and Probability
  • Computational Mathematics
  • Economics and Econometrics

Keywords

  • Correlation
  • Endogenous attention
  • Information acquisition
  • Myopic Choice
  • Robustness
  • Value of information

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  • Cite this

    Liang, A., Xiaosheng, M. U., & Syrgkanis, V. (2018). Optimal and myopic information acquisition. In ACM EC 2018 - Proceedings of the 2018 ACM Conference on Economics and Computation (pp. 45-46). (ACM EC 2018 - Proceedings of the 2018 ACM Conference on Economics and Computation). Association for Computing Machinery, Inc. https://doi.org/10.1145/3219166.3219214