Instrumental variables estimators resolve simultaneity bias by isolating exogenous variation correlated with the regressor
Is it true that instrumental variables estimators resolve simultaneity bias by isolating exogenous variation correlated with the regressor?
Yes. Instrumental variables estimators are a standard econometric technique used to address simultaneity bias and endogeneity by leveraging exogenous variation correlated with the regressor of interest.
Verdict: SUPPORTED · 3 sources for, 0 against · Last checked
The claim states a fundamental econometric definition and function of instrumental variables (IV) estimators: solving simultaneity bias and endogeneity by exploiting exogenous variation. Papers [1], [6], and [7] all explicitly employ instrumental variable techniques for this exact purpose (addressing endogeneity and reverse causality in observational data). The claim is specific, well-established in econometrics, and directly supported by the methodology and use cases in the retrieved literature.
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Z, I., PRD, B., T, H., & H, R. (2025). Spurious precision in meta-analysis of observational research.. doi.org. https://doi.org/10.1038/s41467-025-63261-0
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L, Y., L, W., & Z, Z. (2025). Does cultural service provision contribute to improving public health levels? Empirical evidence from 283 Chinese cities.. doi.org. https://doi.org/10.3389/fpubh.2025.1720084
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R, P., A, G., G, D., & R, W. (2026). Heterogeneous effects of nursing staff wages on turnover: evidence from U.S. nursing homes using an instrumental variable approach.. doi.org. https://doi.org/10.1093/geront/gnag030
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