IMF Working Papers

Using Administrative Data to Enhance Policymaking in Developing Countries: Tax Data and the National Accounts

By Lisbeth Rivas, Joe Crowley

August 2, 2018

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Lisbeth Rivas, and Joe Crowley. Using Administrative Data to Enhance Policymaking in Developing Countries: Tax Data and the National Accounts, (USA: International Monetary Fund, 2018) accessed November 23, 2024

Disclaimer: IMF Working Papers describe research in progress by the author(s) and are published to elicit comments and to encourage debate. The views expressed in IMF Working Papers are those of the author(s) and do not necessarily represent the views of the IMF, its Executive Board, or IMF management.

Summary

Statistical agencies worldwide are increasingly turning to new data sources, including administrative data, to improve statistical coverage. Administrative data can significantly enhance the quality of national statistics and produce synergies with tax administration and other government agencies, supporting better decision making, policy advice, and economic performance. Compared to economic censuses and business surveys, administrative data are less burdensome to collect and produce more timely, detailed, and accurate data with better coverage. This paper specifically explores the use of value added tax and income tax records to enhance the compilation of national accounts statistics.

Subject: Data collection, Economic and financial statistics, Income and capital gains taxes, National accounts, Personal income, Taxes, Value-added tax

Keywords: Administrative Data, Data collection, Enterprise, Income and capital gains taxes, Information, National Accounts, Pacific Islands, Pay as you earn, Personal income, Reporting burden, Tax, Tax authorities, Tax authority, Tax data, Value Added Tax, Value-added tax, WP

Publication Details

  • Pages:

    36

  • Volume:

    ---

  • DOI:

    ---

  • Issue:

    ---

  • Series:

    Working Paper No. 2018/175

  • Stock No:

    WPIEA2018175

  • ISBN:

    9781484371701

  • ISSN:

    1018-5941

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