System GMM estimation with a small sample
By Marcelo Soto. 2009
183 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/0a17c2c157fe14f2dd115ae3ad130450228693ca
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Citations in the corpus
- ICT as a source of economic growth in the information age: Empirical evidence from the 1996-2005 period (2011, unknown): “As demonstrated by Soto (2009), the system GMM estimator is superior to the other estimators, including the first-difference GMM estimator, because it has a lower bias and higher efficiency.”
- Circular Economy Innovation and Environmental Sustainability Impact on Economic Growth: An Integrated Model for Sustainable Development (2020, methodology): “Third, system GMM works even with a small sample size (N = 100, 50, 35) and produced efficient coefficients [53].”
- Inward FDI and growth: The role of macroeconomic and institutional environment (2011, methodology): “As Soto (2009) demonstrates, the system GMM estimator has a lower bias and higher efficiency than other estimators (including the standard first-differenced GMM estimator proposed by Arellano and Bond, 1991) if certain persistence exists in the series.”
- Does foreign aid harm political institutions (2015, methodology): “Also, following the Monte Carlo evidence of Soto (2009), we rely on the conservative one-step estimator and report robust standard errors.”