Atul Gupta

Atul Gupta
  • Assistant Professor of Health Care Management

Contact Information

  • office Address:

    3641 Locust Walk
    302 Colonial Penn Center
    Philadelphia, PA 19104

Links: CV, Personal Website

Overview

Atul Gupta is an Assistant Professor in the department of Health Care Management at the Wharton School, University of Pennsylvania. He joined Wharton in 2017 from Stanford University, where he received his PhD in Economics. His research interests are in Applied Microeconomics, Health Care, Public Finance and Industrial Organization. He is also a Senior Fellow at the Leonard Davis Institute for Health Economics. 
 
His current research examines various determinants of productivity in US health care including performance pay for providers, local regulation, the expansion of public insurance programs and the growing role of managed care therein. 
 
Prior to Stanford, Atul received his MBA at the Indian Institute of Management Ahmedabad, India and worked as a management consultant at The Boston Consulting Group for several years. 
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Research

Teaching

Current Courses

  • HCMG845 - Us Payer Provider Strat

    This course, co-taught with Brad Fluegel (former Chief Strategy Officer at Aetna, Anthem, and Walgreens and presently on the boards of several health care firms, including Fitbit and Premera Blue Cross), provides an overview of the challenges facing payers and providers in US healthcare as well as the strategies they use (or should use) to succeed. We cover all major aspects of the healthcare sector as seen from the perspective of payers and providers, starting from their core products and services (consumer preferences and health plan design, provider quality), the market environment they operate in (regulation and the role of public insurers, payment reforms, rising costs, and consolidation), and their strategic and operational responses (new organization models, mergers and acquisitions, and new ventures). The pedagogy is accordingly a mix of faculty lectures and talks by senior industry leaders to balance theory and practice.

    HCMG845001 ( Syllabus )

  • HCMG901 - Proseminar In He

    This course will cover empirical methods used in economics research with an emphasis on applications in health care and public economics. The methods covered include linear regression, matching, panel data models, instumental variables, regression discontinuity, bunching, qualitative and limited dependent variable models, count data, quantile regressions, and duration models. the discussion will be a mix of theory and application, with emphasis on the latter. The readings consist of a blend of classic and recent methodological and empirical papers in economics. Course requirements include several problem sets, paper presentations, an econometric analysis project and a final exam. The course is open to doctoral students from departments other than Health Care Management with permission from the instructor.

    HCMG901001 ( Syllabus )

Past Courses

  • HCMG845 - US PAYER PROVIDER STRAT

    This course, co-taught with Brad Fluegel (former Chief Strategy Officer at Aetna, Anthem, and Walgreens and presently on the boards of several health care firms, including Fitbit and Premera Blue Cross), provides an overview of the challenges facing payers and providers in US healthcare as well as the strategies they use (or should use) to succeed. We cover all major aspects of the healthcare sector as seen from the perspective of payers and providers, starting from their core products and services (consumer preferences and health plan design, provider quality), the market environment they operate in (regulation and the role of public insurers, payment reforms, rising costs, and consolidation), and their strategic and operational responses (new organization models, mergers and acquisitions, and new ventures). The pedagogy is accordingly a mix of faculty lectures and talks by senior industry leaders to balance theory and practice.

  • HCMG899 - INDEPENDENT STUDY

    Arranged with members of the Faculty of the Health Care Systems Department. For further information contact the Department office, Room 204, Colonial Penn Center, 3641 Locust Walk, 898-6861.

  • HCMG900 - PROSEMINAR IN HE

    This course is intended to provide entering doctoral students with information on the variety of health economics models, methods, topics, and publication outlets valued and used by faculty in the HCMG doctoral program and outside of it. The course has two main parts: the first, to acquaint students with theoretical modeling tools used frequently by health economists. This part of the course involves a number of lectures coupled with students' presentations from the health economics, management and operations research community at Penn on a research method or strategy they have found helpful and they think is important for all doctoral students to know.

  • HCMG901 - PROSEMINAR IN HE

    This course will cover empirical methods used in economics research with an emphasis on applications in health care and public economics. The methods covered include linear regression, matching, panel data models, instumental variables, regression discontinuity, bunching, qualitative and limited dependent variable models, count data, quantile regressions, and duration models. the discussion will be a mix of theory and application, with emphasis on the latter. The readings consist of a blend of classic and recent methodological and empirical papers in economics. Course requirements include several problem sets, paper presentations, an econometric analysis project and a final exam. The course is open to doctoral students from departments other than Health Care Management with permission from the instructor.

In the News

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Activity

Latest Research

Atul Gupta, Justin Bekelman, Laura Yasaitis (2019), An Insurer’s Program To Incentivize Generic Oncology Drugs Did Not Alter Treatment Patterns Or Spending On Care,.
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In the News

Will Price Transparency in Health Care Lower Costs or Backfire?

So far, attempts at transparency in health care fees have not shifted consumer behavior – and too much pricing information could be counterproductive, experts say.

Knowledge @ Wharton - 7/2/2019
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