Amin Haghnejad, Mahboobeh Farahati
arXiv 13 Dec 2024 · Econometrics
arXiv:2412.10608 · PDF · DOI · OpenAlex · Extracted main text
Meta-analysis employs statistical techniques to synthesize the results of individual studies, providing an estimate of the overall effect size for a specific outcome of interest. The direction and magnitude of this estimate, along with its confidence interval, offer valuable insights into the underlying phenomenon or relationship. As an extension of standard meta-analysis, meta-regression analysis incorporates multiple moderators -- capturing key study characteristics -- into the model to explain heterogeneity in true effect sizes across studies. This study provides a comprehensive overview of meta-analytic procedures tailored to economic research, addressing key challenges such as between-study heterogeneity, publication bias, and effect size dependence. It equips researchers with essential tools and insights to conduct rigorous and informative meta-analyses in economics and related fields.
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The works this paper leans on most, across its whole bibliography — not restricted to papers in our corpus. Ranked by composite intensity, which combines how often a work is mentioned, how many sections mention it, and how much of that falls in the main text rather than the appendix.
| Reference | Intensity | Mentions | Sections | Main text | |
|---|---|---|---|---|---|
| 1 | Borenstein, M., Hedges, L. V., Higgins, J. P., & Rothstein, H. R (2021) Introduction to Meta-Analysis | 1.000 | 12 | 5 | 100% |
| 2 | Hox, J. J., Moerbeek, M., & Van de Schoot, R (2010) Multilevel analysis: Techniques and applications | 1.000 | 7 | 3 | 100% |
| 3 | Egger, M., Smith, G. D., Schneider, M., & Minder, C (1997) Bias in meta-analysis detected by a simple, graphical test | 0.874 | 5 | 2 | 100% |
| 4 | Stanley, T. D., Doucouliagos, H., & Ioannidis, J. P. A (2017) Finding the power to reduce publication bias | 0.874 | 5 | 2 | 100% |
| 5 | Greene, W. H (2012) Econometric analysis | 0.843 | 3 | 3 | 100% |
| 6 | Higgins, J., & Thompson, S. G (2004) Controlling the risk of spurious findings from meta-regression | 0.811 | 4 | 2 | 100% |
| 7 | Stanley, T. D., & Doucouliagos, H (2012) Meta-regression analysis in economics and business | 0.811 | 4 | 2 | 100% |
| 8 | Thompson, S. G., & Sharp, S. J (1999) Explaining heterogeneity in meta-analysis: A comparison of methods | 0.811 | 4 | 2 | 100% |
| 9 | Hedges, L. V., & Olkin, I (1985) Statistical methods for meta-analysis | 0.737 | 3 | 2 | 100% |
| 10 | Lipsey, M. W., & Wilson, D. B (2001) Practical Meta-Analysis | 0.737 | 3 | 2 | 100% |
Showing the top 10 of 216 scored citations.