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Modernizing Federal Economic Statistics

Author

Listed:
  • William G. Bostic Jr.
  • Ron S. Jarmin
  • Brian Moyer

Abstract

Official statistical data on the structure, evolution and performance of the U.S. economy are produced by a variety federal, state and local agencies. Much of the methodology, policy frameworks and infrastructure for U.S. economic measurement have been in place for decades. There are growing concerns that the economy is evolving more rapidly than are the economic statistics we use to monitor it. We discuss both the challenges and opportunities to modernizing federal economic statistics. We describe an incremental approach that federal statistics agencies can follow to build a 21st century economic measurement system.

Suggested Citation

  • William G. Bostic Jr. & Ron S. Jarmin & Brian Moyer, 2016. "Modernizing Federal Economic Statistics," American Economic Review, American Economic Association, vol. 106(5), pages 161-164, May.
  • Handle: RePEc:aea:aecrev:v:106:y:2016:i:5:p:161-64
    Note: DOI: 10.1257/aer.p20161061
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    File URL: https://www.aeaweb.org/aer/ds/10605/P2016__ds.zip
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    References listed on IDEAS

    as
    1. Hal R. Varian, 2014. "Big Data: New Tricks for Econometrics," Journal of Economic Perspectives, American Economic Association, vol. 28(2), pages 3-28, Spring.
    2. Raj Chetty & Nathaniel Hendren & Patrick Kline & Emmanuel Saez, 2014. "Where is the land of Opportunity? The Geography of Intergenerational Mobility in the United States," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 129(4), pages 1553-1623.
    3. Daniel S. Hamermesh, 2013. "Six Decades of Top Economics Publishing: Who and How?," Journal of Economic Literature, American Economic Association, vol. 51(1), pages 162-172, March.
    4. Katherine Baicker & Amy Finkelstein & Jae Song & Sarah Taubman, 2014. "The Impact of Medicaid on Labor Market Activity and Program Participation: Evidence from the Oregon Health Insurance Experiment," American Economic Review, American Economic Association, vol. 104(5), pages 322-328, May.
    5. John Haltiwanger & Ron S. Jarmin & Javier Miranda, 2013. "Who Creates Jobs? Small versus Large versus Young," The Review of Economics and Statistics, MIT Press, vol. 95(2), pages 347-361, May.
    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Lachowska, Marta & Mas, Alexandre & Woodbury, Stephen A., 2022. "How reliable are administrative reports of paid work hours?," Labour Economics, Elsevier, vol. 75(C).
    2. Katharine G. Abraham & Ron S. Jarmin & Brian C. Moyer & Matthew D. Shapiro, 2020. "Introduction: Big Data for Twenty-First-Century Economic Statistics: The Future Is Now," NBER Chapters, in: Big Data for Twenty-First-Century Economic Statistics, pages 1-22, National Bureau of Economic Research, Inc.
    3. Binswanger, Johannes & Oechslin, Manuel, 2020. "Better statistics, better economic policies?," European Economic Review, Elsevier, vol. 130(C).

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    More about this item

    JEL classification:

    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis
    • C80 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - General

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