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Elizabeth Savoca

Biographic Data

ID5766713
NAMEElizabeth Savoca
GIVEN NAMESElizabeth
FAMILY NAMESavoca
SIGNATURESAVOCA E
AFFILIATIONSSmith College
VERIFIEDNo
TOTAL WORKS4
TOTAL CITATIONS17
WORKS AS AUTHOR4
WORKS AS EDITOR0
FIRST PUBLICATION YEAR1990
LATEST PUBLICATION YEAR2011
H-INDEX2
  • Accounting for Misclassification Bias in Binary Outcome Measures of Illness

    Open Access•Elizabeth Savoca•ARTICLE•Sociological Methodology•2011•References: 50

    The theoretical consequences of measurement error in outcome variables that are continuous are widely known by practitioners, at least for the classical model: purely random errors will lead to a loss of efficiency but not to bias in regression coefficients. When the outcome variable is binary, however, regression coefficients, both linear and nonlinear, will contain bias, even if the measurement error (in this setting more commonly referred to a…

  • The “teaching procession”? another look at teacher tenure, 1845–1925

    Open Access•Susan B Carter, Elizabeth Savoca•ARTICLE•Explorations in Economic History•1992•Cited by: 2•References: 13

  • Gender differences in learning and earning in nineteenth-century America

    Open Access•Susan B Carter, Elizabeth Savoca•ARTICLE•Explorations in Economic History•1991•Cited by: 4•References: 17

  • Labor Mobility and Lengthy Jobs in Nineteenth-Century America

    Open Access•Susan B Carter, Elizabeth Savoca•ARTICLE•The Journal of Economic History•1990•Cited by: 11•References: 1

    Extensive amounts of geographic mobility and high rates of labor turnover before World War I gave rise to the notion that the industrial labor force was “casual” and “impermanent.” But data from firms' payrolls and from nineteenth-century surveys conducted by state labor statistics bureaus show that male workers averaged about four years of experience in their current jobs. Data from an 1892 survey of San Francisco workers show that the average n…

  • Labor Mobility and Lengthy Jobs in Nineteenth-Century America

    Open Access•Susan B Carter, Elizabeth Savoca•ARTICLE•The Journal of Economic History•1990•Cited by: 11•References: 1

    Extensive amounts of geographic mobility and high rates of labor turnover before World War I gave rise to the notion that the industrial labor force was “casual” and “impermanent.” But data from firms' payrolls and from nineteenth-century surveys conducted by state labor statistics bureaus show that male workers averaged about four years of experience in their current jobs. Data from an 1892 survey of San Francisco workers show that the average n…

  • Gender differences in learning and earning in nineteenth-century America

    Open Access•Susan B Carter, Elizabeth Savoca•ARTICLE•Explorations in Economic History•1991•Cited by: 4•References: 17

  • The “teaching procession”? another look at teacher tenure, 1845–1925

    Open Access•Susan B Carter, Elizabeth Savoca•ARTICLE•Explorations in Economic History•1992•Cited by: 2•References: 13

  • Labor Mobility and Lengthy Jobs in Nineteenth-Century America

    Open Access•Susan B Carter, Elizabeth Savoca•ARTICLE•The Journal of Economic History•1990•Cited by: 11•References: 1

    Extensive amounts of geographic mobility and high rates of labor turnover before World War I gave rise to the notion that the industrial labor force was “casual” and “impermanent.” But data from firms' payrolls and from nineteenth-century surveys conducted by state labor statistics bureaus show that male workers averaged about four years of experience in their current jobs. Data from an 1892 survey of San Francisco workers show that the average n…

  • Gender differences in learning and earning in nineteenth-century America

    Open Access•Susan B Carter, Elizabeth Savoca•ARTICLE•Explorations in Economic History•1991•Cited by: 4•References: 17

  • The “teaching procession”? another look at teacher tenure, 1845–1925

    Open Access•Susan B Carter, Elizabeth Savoca•ARTICLE•Explorations in Economic History•1992•Cited by: 2•References: 13

  • Accounting for Misclassification Bias in Binary Outcome Measures of Illness

    Open Access•Elizabeth Savoca•ARTICLE•Sociological Methodology•2011•References: 50

    The theoretical consequences of measurement error in outcome variables that are continuous are widely known by practitioners, at least for the classical model: purely random errors will lead to a loss of efficiency but not to bias in regression coefficients. When the outcome variable is binary, however, regression coefficients, both linear and nonlinear, will contain bias, even if the measurement error (in this setting more commonly referred to a…

Demographic economics (3 works) · Economics (3 works) · Psychology (3 works) · Ancient history (2 works) · Historical Economic and Social Studies (2 works) · History (2 works) · History (2 works) · Labor market dynamics and wage inequality (2 works) · Labour economics (2 works) · Political science (2 works)

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