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Magyar adminisztratív munkáltatói-munkavállalói adatok. Az Admin4 adatbázis hazai és nemzetközi perspektívában
[Hungarian administrative employer-employee data. The Admin4 database in national and international perspective]

Author

Listed:
  • Tir, Melinda

  • Boza, István

  • Pető, Rita

Abstract

Az adminisztratív munkáltató-munkavállaló adatbázisok (Linked Employer-Employee Data, LEED) az utóbbi évtizedek legfontosabb adatinnovációi közé tartoznak, mivel egyszerre teszik lehetővé az egyének és munkáltatóik hosszú távú vizsgálatát. Tanulmányunk áttekinti a hazai adatforrások fejlődését, majd részletesen bemutatja a legfrissebb magyar kapcsolt munkáltató-munkavállaló adatbázist, a Kapcsolt Államigazgatási Paneladatbázist (rövidítve: Admin4), külön kitérve a hozzá kapcsolható modulokra és kiegészítő információkra. Zárásként nemzetközi kitekintést adunk, amelyben összehasonlító perspektívában értékeljük a magyar adatok sajátosságait, előnyeit és korlátait.

Suggested Citation

  • Tir, Melinda & Boza, István & Pető, Rita, 2025. "Magyar adminisztratív munkáltatói-munkavállalói adatok. Az Admin4 adatbázis hazai és nemzetközi perspektívában [Hungarian administrative employer-employee data. The Admin4 database in national and international perspective]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(11), pages 1109-1122.
    • Handle: RePEc:ksa:szemle:2282
    DOI: 10.18414/KSZ.2025.11.1109
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    References listed on IDEAS

    as
    1. Fatih Guvenen & Luigi Pistaferri & Giovanni L. Violante, 2022. "Global trends in income inequality and income dynamics: New insights from GRID," Quantitative Economics, Econometric Society, vol. 13(4), pages 1321-1360, November.
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    3. Abowd, John M. & Kramarz, Francis, 1999. "The analysis of labor markets using matched employer-employee data," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 3, chapter 40, pages 2629-2710, Elsevier.
    4. Are Skeie Hermansen & Andrew Penner & István Boza & Marta M. Elvira & Olivier Godechot & Martin Hällsten & Lasse Folke Henriksen & Feng Hou & Zoltán Lippényi & Trond Petersen & Malte Reichelt & Halil , 2025. "Immigrant–native pay gap driven by lack of access to high-paying jobs," Nature, Nature, vol. 644(8078), pages 969-975, August.
    5. Boza, István & Reizer, Balázs, 2024. "The Role of Flexible Wage Components in Gender Wage Difference," IZA Discussion Papers 17125, IZA Network @ LISER.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    JEL classification:

    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • O57 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Comparative Studies of Countries

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