Finding needles in haystacks : multiple-imputation record linkage using machine learning
Year of publication: |
[2022] ; This version: October 2021
|
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Authors: | Abowd, John M. ; Abramowitz, Joelle ; Levenstein, Margaret ; McCue, Kristin ; Patki, Dhiren ; Raghunathan, Trivellore ; Rodgers, Ann M. ; Shapiro, Matthew D. ; Nasi Wada ; Zinsser, Dawn |
Publisher: |
[Boston] : [Federal Reserve Bank of Boston] |
Subject: | Administrative data | machine learning | multiple imputation | probabilistic record linkage | survey data |
Extent: | 1 Online-Ressource (circa 36 Seiten) Illustrationen |
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Series: | Working papers / Federal Reserve Bank of Boston. - Boston, Mass. : [Verlag nicht ermittelbar], ZDB-ID 2180749-8. - Vol. no. 22, 11 |
Type of publication: | Book / Working Paper |
Type of publication (narrower categories): | Graue Literatur ; Non-commercial literature ; Arbeitspapier ; Working Paper |
Language: | English |
Other identifiers: | 10.29412/res.wp.2022.11 [DOI] hdl:10419/273032 [Handle] |
Classification: | C13 - Estimation ; c18 ; C81 - Methodology for Collecting, Estimating, and Organizing Microeconomic Data |
Source: | ECONIS - Online Catalogue of the ZBW |
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