Top Coding is a data anonymization technique in disclosure protection that involves capping extreme values in a dataset at a specified upper threshold to prevent the identification of individuals while preserving the overall distributional characteristics of the data.
5
Publications
224
Citations
9
Authors
15
Institutions
Publications per year
2017–2026
1
Variants
Top-coding
Parents
Publications
5
The “Missing Rich” in Household Surveys: Causes and Correction Approaches
Nora Lustig · 2020 · 79 citations
1–5 of 5
Authors
9
- SF
2
h-index
- RV
2
h-index
- SP
1
h-index
- DA
1
h-index
- NL
1
h-index
1–5 of 9
Institutions
15
Cornell University
Ithaca, United States
2 h-index
3 publications
109 citations
Policy Analysis (United States)
Brookline, United States
2 h-index
2 publications
62 citations
Federal Reserve Board of Governors
Washington D.C., United States
1 h-index
1 publications
15 citations
Tulane University
New Orleans, United States
1 h-index
1 publications
79 citations
Shanghai University of Finance and Economics
Shanghai, China
1 h-index
1 publications
15 citations
Princeton University
Princeton, United States
1 h-index
1 publications
15 citations
London School of Economics and Political Science
London, United Kingdom
1 h-index
1 publications
15 citations
Federal Reserve
Washington D.C., United States
1 h-index
1 publications
15 citations
1–8 of 15
Venues
- SSRN Electronic Journal
Repository · 2 publications · 50 citations
2
h-index
- Journal of the Royal Statistical Society Series A (Statistics in Society)
1 publications · 48 citations
1
h-index
- Journal of Business and Economic Statistics
JBES · 1 publications · 47 citations
1
h-index
1–3