Accounting for sample overlap in economics meta-analyses: the generalized-weights method in practice

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dc.contributor.authorBom, Pedro
dc.contributor.authorRachinger, Heiko
dc.date.accessioned2025-09-04T10:36:46Z
dc.date.available2025-09-04T10:36:46Z
dc.date.issued2025-05-06
dc.date.updated2025-09-04T10:36:46Z
dc.description.abstractMeta-analyses in economics frequently exhibit considerable overlap among primary samples. If not addressed, sample overlap leads to efficiency losses and inflated rates of false positives at the meta-analytical level. In previous work, we proposed a generalized-weights (GW) approach to handle sample overlap. This approach effectively approximates the correlation structure between primary estimates using information on sample sizes and overlap degrees in the primary studies. This paper demonstrates the application of the GW method to economics meta-analyses, addressing practical challenges that are likely to be encountered. We account for variations in data aggregation levels, estimation methods, and effect size metrics, among other issues. We derive explicit covariance formulas for different scenarios, evaluate the accuracy of the approximations, and employ Monte Carlo simulations to demonstrate how the method enhances efficiency and restores the false positive rate to its nominal level.en
dc.description.sponsorshipSpanish Ministry of Science and Innovation - State Research Agency, Grant/Award Number: PID2020-114646RB-C43; Basque Government Department of Education, Grant/Award Number: IT1429-22; Jesus de Gangoiti Barrera Foundationen
dc.identifier.citationBom, P. R. D., & Rachinger, H. (2025). Accounting for sample overlap in economics meta-analyses: the generalized-weights method in practice. Journal of Economic Surveys, 39(3), 904-931. https://doi.org/10.1111/JOES.12633
dc.identifier.doi10.1111/JOES.12633
dc.identifier.eissn1467-6419
dc.identifier.issn0950-0804
dc.identifier.urihttps://hdl.handle.net/20.500.14454/3500
dc.language.isoeng
dc.publisherJohn Wiley and Sons Inc
dc.rights© 2024 The Authors
dc.subject.otherData aggregation
dc.subject.otherGeneralized weights
dc.subject.otherInference
dc.subject.otherMeta-analysis
dc.subject.otherModerators variables
dc.subject.otherPartial correlation coefficients
dc.subject.otherSample overlap
dc.titleAccounting for sample overlap in economics meta-analyses: the generalized-weights method in practiceen
dc.typejournal article
dcterms.accessRightsopen access
oaire.citation.endPage931
oaire.citation.issue3
oaire.citation.startPage904
oaire.citation.titleJournal of Economic Surveys
oaire.citation.volume39
oaire.licenseConditionhttps://creativecommons.org/licenses/by-nc-nd/4.0/
oaire.versionVoR
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