Determinants of Economic Growth: Will Data Tell?

By A. Ciccone, Marek Jarociński. Social Science Research Network, 2010

344 citations recorded by the source corpus.

Many factors inhibiting and facilitating economic growth have been suggested. Can agnostics rely on international income data to tell them which matter? We find that agnostic priors lead to conclusions that are sensitive to differences across available income estimates. For example, the PWT 6.2 revision of the 1960-96 income estimates in the PWT 6.1 leads to substantial changes regarding the role of government, international trade, demography, and geography. We conclude that margins of error in international income estimates appear too large for agnostic growth empirics.

Subfields: Economics and Econometrics, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/96eb7e8c65e3de8be5923f63a4b83fd0120ff63f

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Citations in the corpus

Mixtures of g-priors for Bayesian model averaging with economic applications (2010, unknown): “…LPS (Fernández et al., 2001a,b).14 In addition, analyzing the 50 estimation subsamples allows us to get a certain amount of robustness with respect to possible unusual data points, partly addressing some of the concerns voiced in Ciccone and Jarociński (2010)15 with respect to data sensitivity.”
Model Averaging and Its Use in Economics (2017, methodology): “Two other well-known R-packages are BAS (Clyde, 2017), explained in Clyde et al. (2011), and BayesVarSel (Garcı́a-Donato and Forte, 2015), described in Garcı́a-Donato and Forte (2016). When endogenous regressors are suspected, the R-package ivbma (Lenkoski et al., 2014) implements the method of Karl”
Growth Still Is Good for the Poor (2013, unknown): “Most of these variables have been identified as important correlates of growth in one or more of three prominent meta-analyses of growth determinants (Fernandez, Ley and Steel (2001a), Sala-i-Martin (2004) and Ciccone et al. (2010)).”
Do better schools lead to more growth? Cognitive skills, economic outcomes, and causation (2012, unknown): “…that changes in the Penn World Tables (PWT), particularly the 6.2 revision, lead to significant alternations in standard estimates of growth models (Ciccone and Jarocinski (2010); Appleton et al. (2011)).70 To assess the impact of these data, we compare the most recent version of the PWT (version…”
Lights, Camera … Income! Illuminating the National Accounts-Household Surveys Debate (2016, unknown): “var ( y i,t ) = ( β )2 var ( y∗ i,t ) + var ( εi,t ) (16)”
Natural Resources and the ‘Quality’ of Economic Development (2011, background): “Sensitivity analysis shows, in fact, how the GDP per capita, the price level of investment and the dummy for tropics are among the most robust determinants of growth (Ciccone and Jarocinski, 2008).”
Economic development, structural change, and women’s labor force participation: (2013, unknown): “…PPP deflators can have strong implications for international income comparisons (Chen et al. 1994; Ackland et al. 2012; Ravallion et al. 2009; Deaton 2010) and cross-country correlations (see Johnson et al. 2013; Ciccone and Jarociński 2010 on the sensitivity of growth empirics to PWT revisions).”