Julian Reif

Julian Reif

Assistant Professor of Finance and RC Evans Data Analytics Fellow

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Contact

4036 Business Instructional Facility

515 Gregory Drive

Champaign, IL 61820

217-300-0169

jreif@illinois.edu

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Listings

Educational Background

  • Ph.D., University of Chicago, 2012
  • BA, Summa Cum Laude, Economics, Vanderbilt University, 2004

Positions Held

  • Assistant Professor of Finance, University of Illinois at Urbana-Champaign, 2013 to present
  • Lecturer, University of Illinois at Urbana-Champaign, 2012
  • Senior Consultant, Bates White, LLC, 2004-2007

Recent Publications

  • Deryugina, T., Miller, N., Molitor, D., & Reif, J. (2020). Geographic and Socioeconomic Heterogeneity in the Benefits of Reducing Air Pollution in the United States. Environmental and Energy Policy and the Economy ( vol. 2,).
  • Deryugina, T., MacKay, A., & Reif, J. (2020). The Long-Run Dynamics of Electricity Demand: Evidence from Municipal Aggregation. American Economic Journal: Applied Economics.
  • Reif, J. (2019). A Model of Addiction and Social Interactions. Economic Inquiry, 57 (2), 759-773.
  • Deryugina, T., Heutel, G., Miller, N., Molitor, D., & Reif, J. (2019). The Mortality and Medical Costs of Air Pollution: Evidence from Changes in Wind Direction. American Economic Review, 109 (12), 4178-4219.

Other Publications

Articles

  • Huh, J., & Reif, J. (2017). Did Medicare Part D Reduce Mortality? Journal of Health Economics, 53 17-37.
  • Lakdawalla, D., Malani, A., & Reif, J. (2017). The Insurance Value of Medical Innovation. Journal of Public Economics, 94-102.
  • Malani, A., & Reif, J. (2015). Interpreting Pre-trends as Anticipation: Impact on Estimated Treatment Effects from Tort Reform. Journal of Public Economics, (124), 1-17.
  • Katzman, B., Reif, J., & Schwartz, J. (2010). The Relation Between Variance and Information Rent in Auctions. International Journal of Industrial Organization, 38.

Book Chapters

  • Lakdawalla, D., & Reif, J., John Komlos and Inas Rashad Kelly (Ed.) (2015). Health, Body Weight, and Obesity. Oxford Handbook of Economics and Human Biology Oxford: Oxford University Press.
  • Lakdawalla, D., Malani, A., & Reif, J., Malani and Schill (Ed.) (2015). The Complex Relationship Between Healthcare Reform and Innovation. The Future of Healthcare Reform Chicago: The University of Chicago Press.

Presentations

  • Reif, J. (2019). The Mortality and Medical Costs of Air Pollution: Evidence from Changes in Wind Direction. Notre Dame seminar.
  • Reif, J. (2019). The Mortality and Medical Costs of Air Pollution: Evidence from Changes in Wind Direction. Purdue University seminar.
  • Reif, J. (2019). What Do Workplace Wellness Programs Do? Evidence from the Illinois Workplace Wellness Study. Annual Conference on Employee Benefits and Social Insurance.
  • Reif, J. (2019). What Do Workplace Wellness Programs Do? Evidence from the Illinois Workplace Wellness Study. Midwest Health Economics Conference.
  • Reif, J. (2018). Mortality Risk, Insurance, and the Value of Life. Southeastern Health Economics Study Group.
  • Reif, J. (2018). The Mortality and Medical Costs of Air Pollution: Evidence from Changes in Wind Direction. UC Santa Barbara Occasional Workshop in Environmental and Resource Economics.
  • Reif, J. (2014). The Insurance Value of Medical Innovation. NBER Health Economics Program Meeting.

Grants

  • Worksite Wellness: A Field Experiment on Participation Incentives and Selection into Wellness Programs, National Science Foundation, 2017-2020
  • The Impact of Temperature and Pollution on Mortality, Morbidity, and Health Care Cost Among the Elderly, National Institute of Health/National Institute on Aging, 2016-2022
  • Worksite Wellness: A Field Experiment on Participation Incentives and Selection into Wellness Programs, J-PAL North America, 2016-2018
  • Worksite Wellness: A Field Experiment on Participation Incentives and Selection into Wellness Programs, Robert Wood Johnson Foundation, 2016-2018
  • Climate Change Policy in Illinois, IGPA, University of Illinois, 2016-2017

Current Courses

  • Big Data Analytics in Finance (FIN 510) Recent trends in "big data" present both enormous challenges and opportunities for businesses. This course introduces concepts and techniques of data analytics and shows how they can be used for making predictions, and to distinguish between correlation and causation, in the context of financial and economic analysis. Covered tools include data visualization, machine learning, regression analysis, randomized trials, A/B testing, and quasi-experiments. Students will apply these tools using R programming within the Amazon Web Services cloud computing environment.

Contact

4036 Business Instructional Facility

515 Gregory Drive

Champaign, IL 61820

217-300-0169

jreif@illinois.edu

Google Scholar

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