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Amakudata: a dataset of bureaucratic revolving door hires

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  • Incerti, Trevor

    (Yale University)

  • Miyano, Sayumi
  • Stanescu, Diana
  • Yamagishi, Hikaru

Abstract

Political economists have long speculated about the effects of connections between bureaucracies and the private sector. However, data tracing flows of civil servants from the bureaucracy to the private sector remains rare. This article presents a new dataset, Amakudata, which contains individual-level data of virtually all Japanese bureaucrats retiring into positions outside of the bureaucracy from 2009 to 2019. We first present how the dataset was created and validated. Next, we describe what the data reveals about the revolving door in Japan and beyond, and show that some sectors may be larger hirers of government personnel than previously thought. We conclude by discussing how the data can be used to investigate empirical and causal questions in diverse subjects such as corruption and regulatory capture; procurement, pork, and government waste; bureaucratic representation; and international trade and investment.

Suggested Citation

  • Incerti, Trevor & Miyano, Sayumi & Stanescu, Diana & Yamagishi, Hikaru, 2024. "Amakudata: a dataset of bureaucratic revolving door hires," OSF Preprints fqnkz, Center for Open Science.
    • Handle: RePEc:osf:osfxxx:fqnkz
    DOI: 10.31219/osf.io/fqnkz
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