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Danny R. Hughes

Personal Details

First Name:Danny
Middle Name:R.
Last Name:Hughes
Suffix:
RePEc Short-ID:phu636
[This author has chosen not to make the email address public]
https://hughes.econ.gatech.edu/
Terminal Degree:2005 Terry College of Business; University of Georgia (from RePEc Genealogy)

Affiliation

School of Economics
Georgia Institute of Technology

Atlanta, Georgia (United States)
http://www.econ.gatech.edu/
RePEc:edi:segatus (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Kummer, Michael E. & Laitenberger, Ulrich & Rich, Cyrus E. & Hughes, Danny R. & Ayer, Turgay, 2021. "Healthy reviews! Online physician ratings reduce healthcare interruptions," ZEW Discussion Papers 21-075, ZEW - Leibniz Centre for European Economic Research.
  2. Suhui Evelyn Li & Avi Dors & Darwyyn Deyo & Danny R. Hughes, "undated". "The Impact of State Tort Reforms on Imaging Utilization," Mathematica Policy Research Reports 3ce888c2dae9421fa4c92b610, Mathematica Policy Research.

Articles

  1. Christian Wernz & Yongjia Song & Danny R. Hughes, 2021. "How hospitals can improve their public quality metrics: a decision-theoretic model," Health Care Management Science, Springer, vol. 24(4), pages 702-715, December.
  2. Hui Zhang & Christian Wernz & Danny R. Hughes, 2018. "Modeling and designing health care payment innovations for medical imaging," Health Care Management Science, Springer, vol. 21(1), pages 37-51, March.
  3. Hui Zhang & Christian Wernz & Danny R. Hughes, 2018. "A Stochastic Game Analysis of Incentives and Behavioral Barriers in Chronic Disease Management," Service Science, INFORMS, vol. 10(3), pages 302-319, September.
  4. David T. Mitchell & Danny R. Hughes & Noel D. Campbell, 2014. "Are Powerful Majorities Inefficient for Parties and Efficient for Taxpayers?," Public Finance Review, , vol. 42(1), pages 117-138, January.
  5. D. R. Hughes & D. T. Mitchell & D. P. Molinari, 2011. "Heeding the call: seminary enrollment and the business cycle," Applied Economics Letters, Taylor & Francis Journals, vol. 18(5), pages 433-437.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

    Sorry, no citations of working papers recorded.

Articles

  1. Hui Zhang & Christian Wernz & Danny R. Hughes, 2018. "Modeling and designing health care payment innovations for medical imaging," Health Care Management Science, Springer, vol. 21(1), pages 37-51, March.

    Cited by:

    1. Hui Zhang & Thomas J. Best & Anton Chivu & David O. Meltzer, 2020. "Simulation-based optimization to improve hospital patient assignment to physicians and clinical units," Health Care Management Science, Springer, vol. 23(1), pages 117-141, March.
    2. Christian Wernz & Yongjia Song & Danny R. Hughes, 2021. "How hospitals can improve their public quality metrics: a decision-theoretic model," Health Care Management Science, Springer, vol. 24(4), pages 702-715, December.
    3. Hui Zhang & Christian Wernz & Danny R. Hughes, 2018. "A Stochastic Game Analysis of Incentives and Behavioral Barriers in Chronic Disease Management," Service Science, INFORMS, vol. 10(3), pages 302-319, September.
    4. Aditya U. Kulkarni & Christian Wernz, 2020. "Optimal incentives for teams: a multiscale decision theory approach," Annals of Operations Research, Springer, vol. 288(1), pages 307-329, May.

  2. Hui Zhang & Christian Wernz & Danny R. Hughes, 2018. "A Stochastic Game Analysis of Incentives and Behavioral Barriers in Chronic Disease Management," Service Science, INFORMS, vol. 10(3), pages 302-319, September.

    Cited by:

    1. Christian Wernz & Yongjia Song & Danny R. Hughes, 2021. "How hospitals can improve their public quality metrics: a decision-theoretic model," Health Care Management Science, Springer, vol. 24(4), pages 702-715, December.
    2. Fainman, Emily Zhu & Kucukyazici, Beste, 2020. "Design of financial incentives and payment schemes in healthcare systems: A review," Socio-Economic Planning Sciences, Elsevier, vol. 72(C).
    3. Lisa M. Maillart & Maria E. Mayorga, 2018. "Introduction to the Special Issue on Advancing Health Services," Service Science, INFORMS, vol. 10(3), pages 1-1, September.

  3. David T. Mitchell & Danny R. Hughes & Noel D. Campbell, 2014. "Are Powerful Majorities Inefficient for Parties and Efficient for Taxpayers?," Public Finance Review, , vol. 42(1), pages 117-138, January.

    Cited by:

    1. Jeffrey M. Kulik & Natalia Ermasova, 2018. "Tax Expenditure Limitations (TELs) and State Expenditure Structure in the USA," Public Organization Review, Springer, vol. 18(1), pages 53-69, March.
    2. Nicolas Guadalupe Zuniga-Espinoza & Celia Ruth Sainz-Lopez & Erick Zuniga-Soto, 2021. "The Growth of public debt in Coahuila, Mexico," Technium Social Sciences Journal, Technium Science, vol. 17(1), pages 166-174, March.

More information

Research fields, statistics, top rankings, if available.

Statistics

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Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 1 paper announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-BIG: Big Data (1) 2021-11-08
  2. NEP-HEA: Health Economics (1) 2021-11-08
  3. NEP-IAS: Insurance Economics (1) 2021-11-08

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