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AAPOR Report on Big Data

Author

Listed:
  • Task Force Members Include: Lilli Japec
  • Frauke Kreuter
  • Marcus Berg
  • Paul Biemer
  • Paul Decker
  • Cliff Lampe
  • Julia Lane
  • Cathy O'Neil
  • Abe Usher

Abstract

In recent years we have seen an increase in the amount of statistics in society describing different phenomena based on so called Big Data.

Suggested Citation

  • Task Force Members Include: Lilli Japec & Frauke Kreuter & Marcus Berg & Paul Biemer & Paul Decker & Cliff Lampe & Julia Lane & Cathy O'Neil & Abe Usher, "undated". "AAPOR Report on Big Data," Mathematica Policy Research Reports 4eb9b798fd5b42a8b53a9249c, Mathematica Policy Research.
    • Handle: RePEc:mpr:mprres:4eb9b798fd5b42a8b53a9249c7661dd8
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    File URL: https://www.mathematica.org/-/media/publications/pdfs/bigdatataskforcereport.pdf
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    References listed on IDEAS

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    7. Sergio I. Prada & Claudia González-Martínez & Joshua Borton & Johannes Fernandes-Huessy & Craig Holden & Elizabeth Hair & and Tim Mulcahy, 2011. "Avoiding Disclosure of Individually Identifiable Health Information," SAGE Open, , vol. 1(3), pages 21582440114, October.
    8. Prasanna Tambe & Lorin M. Hitt, 2012. "The Productivity of Information Technology Investments: New Evidence from IT Labor Data," Information Systems Research, INFORMS, vol. 23(3-part-1), pages 599-617, September.
    9. Hal R. Varian, 2014. "Big Data: New Tricks for Econometrics," Journal of Economic Perspectives, American Economic Association, vol. 28(2), pages 3-28, Spring.
    10. Prada, Sergio I & Gonzalez, Claudia & Borton, Joshua & Fernandes-Huessy, Johannes & Holden, Craig & Hair, Elizabeth & Mulcahy, Tim, 2011. "Avoiding disclosure of individually identifiable health information: a literature review," MPRA Paper 35463, University Library of Munich, Germany.
    11. Stock J.H. & Watson M.W., 2002. "Forecasting Using Principal Components From a Large Number of Predictors," Journal of the American Statistical Association, American Statistical Association, vol. 97, pages 1167-1179, December.
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    Cited by:

    1. Keller Andrew & Mule Vincent T. & Morris Darcy Steeg & Konicki Scott, 2018. "A Distance Metric for Modeling the Quality of Administrative Records for Use in the 2020 U.S. Census," Journal of Official Statistics, Sciendo, vol. 34(3), pages 599-624, September.

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    Keywords

    AAPOR; Big Data;

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