Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Connor Cole

Biographic Data

ID6205130
NAMEConnor Cole
GIVEN NAMESConnor
FAMILY NAMECole
SIGNATURECOLE C
AFFILIATIONSUniversity of Michigan
VERIFIEDNo
TOTAL WORKS2
TOTAL CITATIONS16
AUTHOR COUNT2
EDITOR COUNT0
FIRST PUBLICATION YEAR2020
LATEST PUBLICATION YEAR2020
H-INDEX1
  • How Well Do Automated Linking Methods Perform? Lessons from US Historical Data

    Martha J Bailey, Martha Bailey et al.•ARTICLE•Journal of Economic Literature•2020

    This paper reviews the literature in historical record linkage in the United States and examines the performance of widely used record-linking algorithms and common variations in their assumptions. We use two high-quality, hand-linked data sets and one synthetic ground truth to examine the direct effects of linking algorithms on data quality. We find that (i) no algorithm (including hand linking) consistently produces representative samples; (ii)…

  • Simple strategies for improving inference with linked data: A case study of the 1850–1930 Ipums linked representative historical samples

    Martha Bailey, Connor Cole et al.•ARTICLE•Historical Methods A Journal of…•2020•Cited by: 16•References: 27

    New large-scale linked data are revolutionizing quantitative history and demography. This paper proposes two complementary strategies for improving inference with linked historical data: the use of validation variables to identify higher quality links and a simple, regression-based weighting procedure to increase the representativeness of custom research samples. We demonstrate the potential value of these strategies using the 1850-1930 Integrate…

  • Simple strategies for improving inference with linked data: A case study of the 1850–1930 Ipums linked representative historical samples

    Martha Bailey, Connor Cole et al.•ARTICLE•Historical Methods A Journal of…•2020•Cited by: 16•References: 27

    New large-scale linked data are revolutionizing quantitative history and demography. This paper proposes two complementary strategies for improving inference with linked historical data: the use of validation variables to identify higher quality links and a simple, regression-based weighting procedure to increase the representativeness of custom research samples. We demonstrate the potential value of these strategies using the 1850-1930 Integrate…

  • How Well Do Automated Linking Methods Perform? Lessons from US Historical Data

    Martha J Bailey, Martha Bailey et al.•ARTICLE•Journal of Economic Literature•2020

    This paper reviews the literature in historical record linkage in the United States and examines the performance of widely used record-linking algorithms and common variations in their assumptions. We use two high-quality, hand-linked data sets and one synthetic ground truth to examine the direct effects of linking algorithms on data quality. We find that (i) no algorithm (including hand linking) consistently produces representative samples; (ii)…

  • Simple strategies for improving inference with linked data: A case study of the 1850–1930 Ipums linked representative historical samples

    Martha Bailey, Connor Cole et al.•ARTICLE•Historical Methods A Journal of…•2020•Cited by: 16•References: 27

    New large-scale linked data are revolutionizing quantitative history and demography. This paper proposes two complementary strategies for improving inference with linked historical data: the use of validation variables to identify higher quality links and a simple, regression-based weighting procedure to increase the representativeness of custom research samples. We demonstrate the potential value of these strategies using the 1850-1930 Integrate…

Computer Science (2 works) · Data mining (2 works) · Data quality (2 works) · Data science (2 works) · Econometrics (2 works) · Health disparities and outcomes (2 works) · Machine learning (2 works) · Mathematics (2 works) · Advanced Causal Inference Techniques (1 works) · Algorithm (1 works)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae