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Big Data for Twenty-First-Century Economic Statistics

Author

Listed:
  • Katharine G. Abraham
  • Ron S. Jarmin
  • Brian Moyer
  • Matthew D. Shapiro

Abstract

No abstract is available for this item.

Individual chapters are listed in the "Chapters" tab

Suggested Citation

  • Katharine G. Abraham & Ron S. Jarmin & Brian Moyer & Matthew D. Shapiro, 2022. "Big Data for Twenty-First-Century Economic Statistics," NBER Books, National Bureau of Economic Research, Inc, number abra-7.
    • Handle: RePEc:nbr:nberbk:abra-7
    Note: PR
    as

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    Citations

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    Cited by:

    1. Venera Timiryanova & Irina Lakman & Vadim Prudnikov & Dina Krasnoselskaya, 2022. "Spatial Dependence of Average Prices for Product Categories and Its Change over Time: Evidence from Daily Data," Forecasting, MDPI, vol. 5(1), pages 1-25, December.
    2. Mr. Francesco Grigoli & Mr. Damiano Sandri, 2022. "Monetary Policy and Credit Card Spending," IMF Working Papers 2022/255, International Monetary Fund.

    Book Chapters

    The following chapters of this book are listed in IDEAS

    More about this item

    JEL classification:

    • C5 - Mathematical and Quantitative Methods - - Econometric Modeling
    • C8 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs
    • E2 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment
    • E3 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles

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