Blunt Instruments: Avoiding Common Pitfalls in Identifying the Causes of Economic Growth
Concern has intensified in recent years that many instrumental variables used in widely-cited growth regressions may be invalid, weak, or both. Attempts to remedy this general problem remain inadequate. We show how a range of published studies can offer more evidence that their results are not spurious. Key steps include: grounding growth regressions in more generalized theoretical models, deployment of new methods for estimating sensitivity to violations of exclusion restrictions, opening the "black box" of GMM with supportive evidence of instrument strength, and utilization of weak-instrument robust tests and estimators. (JEL C52, E23, F35, O41, O47)
Volume (Year): 5 (2013)
Issue (Month): 2 (April)
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Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Hansen, Henrik & Tarp, Finn, 2001.
"Aid and growth regressions,"
Journal of Development Economics,
Elsevier, vol. 64(2), pages 547-570, April.
- Dalgaard, Carl-Johan & Hansen, Henrik & Tarp, Finn, 2002.
"On the Empirics of Foreign Aid and Growth,"
63696, University Library of Munich, Germany.
- David N. DeJong & Marla Ripoll, 2006. "Tariffs and Growth: An Empirical Exploration of Contingent Relationships," The Review of Economics and Statistics, MIT Press, vol. 88(4), pages 625-640, November.
- Sarah Voitchovsky, 2005. "Does the Profile of Income Inequality Matter for Economic Growth?," Journal of Economic Growth, Springer, vol. 10(3), pages 273-296, 09.
- William Hauk & Romain Wacziarg, 2009.
"A Monte Carlo study of growth regressions,"
Journal of Economic Growth,
Springer, vol. 14(2), pages 103-147, June.
- Windmeijer, Frank, 2005. "A finite sample correction for the variance of linear efficient two-step GMM estimators," Journal of Econometrics, Elsevier, vol. 126(1), pages 25-51, May.
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