The Augmented Solow Model and the African Growth Debate

By Anke Hoeffler. 2002

375 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Information Systems

View Paper: https://www.semanticscholar.org/paper/e38fece24989dcc0f8641161a8d610ceec47717b

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Citations in the corpus

Why Has China Grown so Fast? The Role of Physical and Human Capital Formation (2011, neutral): “Consistent with the prediction of Bond et al. (2001) and Hoeffler (2002), we find that our system GMM estimator yields a consistent estimate of the coefficient on the initial level of income which lies in between the upper bound provided by the OLS estimator and the lower bound given by the…”
Climate Change and Economic Growth in Africa: An Econometric Analysis (2015, methodology): “The cross-country growth regression model differs in an important way from models that use panel data such as Savvides (1995) and Hoeffler (2002). These models that incorporate panel data tend to address some issues that single cross-country regressions may have. Some of these issues as pointed out ”
A Meta-Analysis of Beta- Convergence (2005, methodology): “(1996), Hoeffler (2002), and many others have shown that GMM estimation can correct for omitted variable bias (of country-specific effects) and endogeneity, both of which could bias the estimate of the rate of convergence downwards.”
Challenges of African growth opportunities, constraints and strategic directions / Benno Ndulu with Lopamudra Chakraborti, Lebohang Lijane, Vijaya Ramachandran and Jerome Wolgin; advance ed (2007, background): “5 A “short list” of noteworthy contributions that draw on global data to make Africarelevant contributions include Sachs and Warner (1995) on outward orientation; the same authors (1997, 2001) on the natural resource curse; Bloom and Sachs (1998) on geographical and demographic constraints; Masters ”
Investigating geography and institutions as determinants of foreign direct investment in Africa using panel data (2007, background): “Collier and Gunning, 1999 ; Block, 2001 ; Hoeffler, 2002 ).”
Estimation of linear dynamic panel data models with time‐invariant regressors (2019, neutral): ““QML” is the quasi-maximum likelihood estimator of Hsiao et al. (2002), and “sGMM” refers to system GMM estimators.”
China's Impact on Africa – The Role of Trade, FDI and Aid (2016, neutral): “Our estimate is close to other findings of Solow growth regressions where African countries are explicitly included, for example, Hoeffler (2002). 10 As expected, the investment variable is positive and highly significant.”
Trade and Economic Growth: A Re-Examination of the Empirical Evidence (2012, positive): “This has been done in a similar form by Hoeffler (2002). A different possibility would be to take the average of two consequent observations and treat the education variable as either predetermined or endogenous.”
Export Diversification and Economic Growth (2008, methodology): “Bond et al (2001) and Hoeffler (2002) argue and show that the system GMM estimator is more suited to estimate growth equations than the first-differenced GMM estimator.”
Panel evidence on economic freedom and growth in the United States (2011, background): “4 See Hoeffler (2002) for a nice overview of the benefits of this approach over other panel approaches.”