Record linkage in the Cape of Good Hope Panel.
In this article, we describe the record linkage procedure to create a panel from Cape Colony census returns, or opgaafrolle, for 1787–1828, a dataset of 42,354 household-level observations. Based on a subset of manually linked records, we first evaluate statistical models and deterministic algorithm...
| Publicado en: | Historical Methods Vol. 53; no. 2; pp. 112 - 130 |
|---|---|
| Autores principales: | , , |
| Formato: | Artículo |
| Publicado: |
Taylor & Francis Ltd
Apr-Jun2020
|
| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=142833732&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 142833732 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 01615440 HMT jtl: Historical Methods issn: 01615440 maglogo: N pubinfo: dt: Apr-Jun2020 vid: 53 iid: 2 pid: 377 pub: Taylor & Francis Ltd artinfo: ui: 142833732 10.1080/01615440.2018.1517030 ppf: 112 ppct: 18 formats: tig: atl: Record linkage in the Cape of Good Hope Panel. aug: au: Rijpma, Auke Cilliers, Jeanne Fourie, Johan affil: Department of History, Utrecht University, Utrecht, Netherlands Department of Economic History, Lund University, Lund, Sweden Department of Economics, Stellenbosch University, Stellenbosch, South Africa su: Census Taxation statistics Tax returns Statistical models Deterministic algorithms Machine learning Cape of Good Hope (South Africa) sug: subj: Cape of Good Hope (South Africa) Census Taxation statistics Tax returns Statistical models Deterministic algorithms Machine learning keyword: machine learning micro-data panel data record linkage South Africa ab: In this article, we describe the record linkage procedure to create a panel from Cape Colony census returns, or opgaafrolle, for 1787–1828, a dataset of 42,354 household-level observations. Based on a subset of manually linked records, we first evaluate statistical models and deterministic algorithms to best identify and match households over time. By using household-level characteristics in the linking process and near-annual data, we are able to create high-quality links for 84% of the dataset. We compare basic analyses on the linked panel dataset to the original cross-sectional data, evaluate the feasibility of the strategy when linking to supplementary sources, and discuss the scalability of our approach to the full Cape panel. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y dt: @attributes: year: 2020 holdings: @attributes: islocal: N |
|---|