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META‐REGRESSION ANALYSIS: A QUANTITATIVE METHOD OF LITERATURE SURVEYS
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Abstract.Pedagogically, literature reviews are instrumental. They summarize the large literature written on a particular topic, give coherence to the complex, often disparate, views expressed about an issue, and serve as a springboard for new ideas. However, literature surveys rarely establish anything approximating unanimous consensus. Ironically, this is just as true for the empirical economic literature. To harmonize this dissonance, we offer a quantitative methodology for reviewing the empirical economic literature. Meta‐regression analysis (MRA) is the regression analysis of regression analyses. MRA tends to objectify the review process. It studies the processes that produce empirical economic results as though they were any other social scientific phenomenon. MRA provides a framework for replication and offers a sensitivity analysis for model specification. In this brief essay, we propose a new method of reviewing economic literature, MRA, and discuss its potential.
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Narrative reviews entail issues because authors might be biased due to their subjectivity, and by choosing which studies to include, how to weight them and how to interpret their results, reviewers can accommodate their prior beliefs.
“Although widely adopted, narrative reviews entail several issues. Authors might be biased due to their subjectivity (Green et al., 2006; Stanley & Jarrell, 1989). By choosing which studies to include in the review, how to weight them and how to interpret their results, reviewers can accommodate, even unconsciously, the main findings of a particular scientific field to be com‐pliant with their pri”
From Public sector reforms and their impact on the level of corruption: A systematic review (2021) · cites this paper as Stanley & Jarrell, 1989
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Cited by
Sorted by citations
INFLATION AND CENTRAL BANK INDEPENDENCE: A META-REGRESSION ANALYSIS
Klomp, J., & De Haan, J. (2010) · Journal of Economic Surveys · doi:10.1111/j.1467-6419.2009.00597.x · Cited by 209
Public sector reforms and their impact on the level of corruption: A systematic review
Mugellini, G., Della Bella, S., Colagrossi, M., Isenring, G. L., & Killias, M. (2021) · Campbell Systematic Reviews: Better Evidence for a Better World · doi:10.1002/cl2.1173 · Cited by 60
Metadata
- Authors
- Stanley, T. D., & Jarrell, S. B.
- Affiliations
- Hendrix College (US)
- Western Carolina University (US)
- ORCID
- Stanley, T. D.
- Venue
- Journal of Economic Surveys
- Publisher
- Wiley
- Published
- 1989-06
- Volume
- 3
- Issue
- 2
- Pages
- 161-170
- ISSN
- 0950-0804 (ISSN-L)
- 1467-6419
- OpenAlex
- W2122415632
- Cited by
- 805
- References
- 0
- Citations by year
- 2026: 23 · 2025: 26 · 2024: 48 · 2023: 31 · 2022: 40 · 2021: 44 · 2020: 48 · 2019: 49 · 2018: 57 · 2017: 29 · 2016: 36 · 2015: 44 · 2014: 36 · 2013: 49 · 2012: 34
- FWCI
- 2.43
- Type
- journal article
- Language
- en
- Open access
- green
- papers.ssrn.com
- Locations
- Journal of Economic Surveys (publishedVersion)
- SSRN Electronic Journal (submittedVersion)
- Figshare (submittedVersion, cc-by)
- Topics
- Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Meta-analysis and systematic reviews
- Physical Sciences › Mathematics › Statistics and Probability › Advanced Causal Inference Techniques
- Social Sciences › Library and Information Sciences › scientometrics and bibliometrics research
- Keywords
- empirical economics, replication, sensitivity analysis, model specification
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