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Modernizing Official Statistics with Big Data: A Case on PODES

Author

Listed:
  • Chaikal Nuryakin

    (Lembaga Penyelidikan Ekonomi dan Masyarakat (LPEM), Fakultas Ekonomi dan Bisnis, Universitas Indonesia)

  • Nandaru Annabil Gumelar
  • Muhammad Dhiya Ul-Haq
  • Riefhano Patonangi
  • Andhika Putra Pratama

Abstract

This study serves as an example of how Indonesia can improve its official data by using big data. In this case, we compare village potential data (PODES) published by Statistics Indonesia (BPS) with Google Places API data and ministerial data. We use the number of hospitals, high schools, and public health centers within Jakarta province as the variables. The result shows that despite counting for the same thing, there are discrepancies between all three sources with a varying margin for each variable. We discuss our findings and give suggestions in the hope of improving official data in Indonesia, which could be helped by utilizing big data as this study exemplified.

Suggested Citation

  • Chaikal Nuryakin & Nandaru Annabil Gumelar & Muhammad Dhiya Ul-Haq & Riefhano Patonangi & Andhika Putra Pratama, 2020. "Modernizing Official Statistics with Big Data: A Case on PODES," LPEM FEBUI Working Papers 202045, LPEM, Faculty of Economics and Business, University of Indonesia, revised 2020.
    • Handle: RePEc:lpe:wpaper:202045
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    File URL: https://www.lpem.org/repec/lpe/papers/WP202045.pdf
    File Function: First version, 2020
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    More about this item

    Keywords

    official statistics — big data — official data;

    JEL classification:

    • C8 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs
    • D8 - Microeconomics - - Information, Knowledge, and Uncertainty
    • E2 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment
    • R1 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics

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