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Olive Sweetman

Biographic Data

ID5737683
NAMEOlive Sweetman
GIVEN NAMESOlive
FAMILY NAMESweetman
SIGNATURESWEETMAN O
AFFILIATIONSNational University of Ireland, Maynooth
ORCID0009-0003-0068-174X
VERIFIEDYes
TOTAL WORKS4
TOTAL CITATIONS5
WORKS AS AUTHOR4
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2006
LATEST PUBLICATION YEAR2022
H-INDEX1
  • Good schools or good students? The importance of selectivity for school rankings

    Aedín Doris, Dónal O’Neill et al.•ARTICLE•Oxford Review of Education•2022

    This paper uses a rich set of student background characteristics to estimate the value added of second-level schools in Ireland. We show that there is a considerable degree of reranking of schools when we move from analysing raw outcomes to value added; in many cases the best performing schools in raw terms are not the best in value-added terms. We show that, contrary to popular perception, fee-paying schools do not add higher value than other sc…

  • How Important are Firms in Explaining Wage Changes During a Recession

    Open Access•Aedín Doris, Donal O'Neill et al.•ARTICLE•Economica•2020•References: 21

    During the Great Recession, many Irish workers experienced nominal earnings reductions, with about 50% of private sector employees receiving pay cuts at the height of the crisis. However, at the same time, a substantial minority of workers continued to receive pay increases. In this paper we use a unique dataset containing earnings on every worker in Ireland to examine the relative roles of worker and firm characteristics in explaining this heter…

  • Identification of the covariance structure of earnings using the GMM estimator

    Open Access•Aedín Doris, Dónal O’Neill et al.•ARTICLE•The Journal of Economic Inequality•2012•References: 1

  • The effects of measurement error and omitted variables when using transition matrices to measure intergenerational mobility

    Open Access•Dónal O’Neill, Olive Sweetman et al.•ARTICLE•The Journal of Economic Inequality•2006•Cited by: 5•References: 1

  • The effects of measurement error and omitted variables when using transition matrices to measure intergenerational mobility

    Open Access•Dónal O’Neill, Olive Sweetman et al.•ARTICLE•The Journal of Economic Inequality•2006•Cited by: 5•References: 1

  • The effects of measurement error and omitted variables when using transition matrices to measure intergenerational mobility

    Open Access•Dónal O’Neill, Olive Sweetman et al.•ARTICLE•The Journal of Economic Inequality•2006•Cited by: 5•References: 1

  • Identification of the covariance structure of earnings using the GMM estimator

    Open Access•Aedín Doris, Dónal O’Neill et al.•ARTICLE•The Journal of Economic Inequality•2012•References: 1

  • How Important are Firms in Explaining Wage Changes During a Recession

    Open Access•Aedín Doris, Donal O'Neill et al.•ARTICLE•Economica•2020•References: 21

    During the Great Recession, many Irish workers experienced nominal earnings reductions, with about 50% of private sector employees receiving pay cuts at the height of the crisis. However, at the same time, a substantial minority of workers continued to receive pay increases. In this paper we use a unique dataset containing earnings on every worker in Ireland to examine the relative roles of worker and firm characteristics in explaining this heter…

  • Good schools or good students? The importance of selectivity for school rankings

    Aedín Doris, Dónal O’Neill et al.•ARTICLE•Oxford Review of Education•2022

    This paper uses a rich set of student background characteristics to estimate the value added of second-level schools in Ireland. We show that there is a considerable degree of reranking of schools when we move from analysing raw outcomes to value added; in many cases the best performing schools in raw terms are not the best in value-added terms. We show that, contrary to popular perception, fee-paying schools do not add higher value than other sc…

Economics (4 works) · Earnings (3 works) · Mathematics (3 works) · Statistics (3 works) · Accounting (2 works) · Computer Science (2 works) · Econometrics (2 works) · Labor market dynamics and wage inequality (2 works) · Academic achievement (1 work) · Chemistry (1 work)

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