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researcher

I. Schmutte

4 papers hereh-index 182.2k citations69 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author2
  • last author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CR2
  • econ.TH2

identity via Semantic Scholar / OpenAlex

activity
20182023
most citedAn Economic Analysis of Privacy Protection and Statistical Accuracy as Social Choices

163 citations · 176 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CR2023★ 13 cited

An In-Depth Examination of Requirements for Disclosure Risk Assessment

Ron S. Jarmin, John M. Abowd, Robert Ashmead +11

The use of formal privacy to protect the confidentiality of responses in the 2020 Decennial Census of Population and Housing has triggered renewed interest and debate over how to m…

econ.TH2022

Information Design for Differential Privacy

Ian M. Schmutte, Nathan Yoder

Firms and statistical agencies must protect the privacy of the individuals whose data they collect, analyze, and publish. These organizations often do so by using publication mecha…

econ.TH2019

Suboptimal Provision of Privacy and Statistical Accuracy When They are Public Goods

John M. Abowd, Ian M. Schmutte, William Sexton +1

With vast databases at their disposal, private tech companies can compete with public statistical agencies to provide population statistics. However, private companies face differe…

cs.CR2018★ 163 cited

An Economic Analysis of Privacy Protection and Statistical Accuracy as Social Choices

John M. Abowd, Ian M. Schmutte

Statistical agencies face a dual mandate to publish accurate statistics while protecting respondent privacy. Increasing privacy protection requires decreased accuracy. Recognizing…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.