2010 Fiscal Year Final Research Report
Microdata disclosure risk assessment using the family of conditional compound Poisson distributions
| Project/Area Number |
21730173
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| Research Category |
Grant-in-Aid for Young Scientists (B)
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| Allocation Type | Single-year Grants |
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| Research Field |
Economic statistics
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| Research Institution | Kanazawa University |
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Principal Investigator |
HOSHINO Nobuaki Kanazawa University, 経済学経営学系, 准教授 (00313627)
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| Project Period (FY) |
2009 – 2010
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| Keywords | 個票開示リスク / 母集団一意 / プライバシー / 寸法指標 |
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| Research Abstract |
This project has progressed both on an empirical basis and on a theory. One empirical contribution is an anonymized data set of the Japanese Labor Force Survey, which will be used to test the risk and utility of anonymization methods. Another contribution is a survey on the advanced practices and researches of anonymization. This survey has been especially conducted to provide a sound view on the current Japanese anonymization practices and researches. On a theory, the limiting conditional compound Poisson distribution has been investigated to explain the behavior of a sparse contingency table, which often arises in assessing disclosure risk. In particular, a new asymptotics based on a Bell polynomial has been proposed.
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