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The Data Revolution and Economic Analysis

In: Innovation Policy and the Economy, Volume 14

  • Liran Einav
  • Jonathan Levin

Many believe that “big data” will transform business, government and other aspects of the economy. In this article we discuss how new data may impact economic policy and economic research. Large-scale administrative datasets and proprietary private sector data can greatly improve the way we measure, track and describe economic activity. They also can enable novel research designs that allow researchers to trace the consequences of different events or policies. We outline some of the challenges in accessing and making use of these data. We also consider whether the big data predictive modeling tools that have emerged in statistics and computer science may prove useful in economics.

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This chapter was published in:
  • Josh Lerner & Scott Stern, 2014. "Innovation Policy and the Economy, Volume 14," NBER Books, National Bureau of Economic Research, Inc, number lern13-1, October.
  • This item is provided by National Bureau of Economic Research, Inc in its series NBER Chapters with number 12942.
    Handle: RePEc:nbr:nberch:12942
    Contact details of provider: Postal: National Bureau of Economic Research, 1050 Massachusetts Avenue Cambridge, MA 02138, U.S.A.
    Phone: 617-868-3900
    Web page: http://www.nber.org
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    1. Peter J. Klenow & Oleksiy Kryvtsov, 2007. "State-Dependent or Time-Dependent Pricing: Does It Matter for Recent U.S. Inflation?," Discussion Papers 07-007, Stanford Institute for Economic Policy Research.
    2. Raj Chetty & John N. Friedman & Jonah E. Rockoff, 2011. "The Long-Term Impacts of Teachers: Teacher Value-Added and Student Outcomes in Adulthood," NBER Working Papers 17699, National Bureau of Economic Research, Inc.
    3. A. Belloni & D. Chen & Victor Chernozhukov & Christian Hansen, 2010. "Sparse models and methods for optimal instruments with an application to eminent domain," CeMMAP working papers CWP31/10, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    4. Hyunyoung Choi & Hal Varian, 2012. "Predicting the Present with Google Trends," The Economic Record, The Economic Society of Australia, vol. 88(s1), pages 2-9, 06.
    5. Thomas Piketty & Emmanuel Saez, 2003. "Income Inequality In The United States, 1913-1998," The Quarterly Journal of Economics, MIT Press, vol. 118(1), pages 1-39, February.
    6. Liran Einav & Theresa Kuchler & Jonathan Levin & Neel Sundaresan, 2011. "Learning from Seller Experiements in Online Markets," Discussion Papers 10-033, Stanford Institute for Economic Policy Research.
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