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Cited by 304

The DOI matches its Crossref record; 44 of the 44 references it cites were found in a registry or an index.

A Monte Carlo study of growth regressions

Open access
Hauk, William R., Wacziarg, Romain·2009·Journal of Economic Growth

Abstract

Using Monte Carlo simulations, this paper evaluates the bias properties of estimators commonly used to estimate growth regressions derived from the Solow model. We explicitly allow for measurement error, country-specific fixed effects and regressor endogeneity. An OLS estimator applied to a single cross-section of variables averaged over time (the between estimator) performs best in terms of the extent of bias on each of the estimated coefficients. Fixed-effects and the Arellano–Bond GMM estimator overstate the speed of convergence under a wide variety of assumptions, while the between estimator understates it. Finally, fixed effects and Arellano–Bond bias towards zero the slope estimates on the human and physical capital accumulation variables, while the between estimator and the Blundell–Bond system GMM estimator bias these coefficients upwards.

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Metadata

Authors
Hauk, W. R., & Wacziarg, R.
Venue
Journal of Economic Growth
Published
2009-05-01
Volume
14
Issue
2
Pages
103-147
ISSN
  • 1381-4338 (ISSN-L)
  • 1573-7020
OpenAlex
W3125413567
Cited by
304
References
44
FWCI
53.99
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: A Monte Carlo study of growth regressions. https://app.cochat.ai/papers/10.1007/s10887-009-9040-3
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Hauk, W. R., & Wacziarg, R. (2009). A Monte Carlo study of growth regressions. Journal of Economic Growth. https://doi.org/10.1007/s10887-009-9040-3

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.