Growth and human capital: good data, good results

By D. Cohen, Marcelo Soto. 2007

1,474 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/c7bc86b6a7ebe7aed0241c416ad88be706daeeea

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In Economics and Econometrics

Citations in the corpus

Schooling, educational achievement, and the Latin American growth puzzle (2012, methodology): “Sources: Own calculations based on Penn World Tables (Cohen and Soto, 2007; Hanushek and Woessmann, forthcoming; Heston et al., 2002.”
System GMM estimation with a small sample (2009, background): “2 Some examples are studies on aid and growth (Dalgaard et al, 2004); education and growth (Cohen and Soto, 2007); and exchange rate volatility and growth (Aghion et al, 2009).”
The long-run impact of human capital on innovation and economic development in the regions of Europe (2018, result): “In addition, the more recent studies by, e.g., De La Fuente and Doménech (2006), Cohen and Soto (2007), Goldin and Katz (2008) and Ciccone and Papaioannou (2009) show the crucial impact of human capital on growth.”
Financial Frictions and the Persistence of History: A Quantitative Exploration (2010, methodology): “This evidence, together with the recent quantitative exercises by Guner et al. (2006) and Restuccia and Rogerson (2007), leads us to focus on idiosyncratic distortions as the source of the low initial per-capita output and TFP in less developed countries.”
The economic case for education† (2016, background): “7 The economic effects of non-cognitive skills have been stressed, among others, by Bowles, Gintis, and Osborne (2001), Heckman, Stixrud, and Urzua (2006), Cunha et al. (2006), Borghans et al.”
How important is human capital? A quantitative theory assessment of world income inequality (2010, methodology): “taken from Cohen and Soto (2007) and Heston et al. (2002), together with the simulated data from the model economy.”
A Panel Data Analysis of the Brain Gain (2011, methodology): “For countries where Barro and Lee measures are missing, she uses Cohen and Soto (2007) or transpose the proportion observed in the neighboring country with the closest domestic enrolment rates in tertiary education. Regarding the education structure of emigrants, she collects immigration data by cou”
Do better schools lead to more growth? Cognitive skills, economic outcomes, and causation (2012, neutral): “…income data come from version 6.1 of the Penn World Tables (Heston et al. 2002), while the data on years of schooling are an extended version of the Cohen and Soto (2007) data.14 We have concentrated on issues surrounding the measurement of cognitive skills, but other questions have recently been…”
The economic impact of universities: Evidence from across the globe (2016, neutral): “Furthermore, human capital appears to also have an indirect effect via spillovers which are analysed inter alia by Moretti (2004a) at the firm level, and Moretti (2004b) and Glaeser and Lu (2018) at the individual level. In an historical setting, Squicciarini and Voigtländer (2014) show that “upper ”
Competitiveness and the Export Performance of the Euro Area (2005, methodology): “Source: Cohen and Soto (2003). Note: Individual country results were aggregated in order to derive a measure for the euro area, using GDP weights for 2003, and a measure for the main competitors, using weights based on the EER-12 index of the euro area.”
Will more higher education improve economic growth (2016, positive): “There were some concerns about accuracy of the data series, leading to alternative developments (Cohen and Soto, 2007) and to further refinements by Barro and Lee (2010), but the availability of a suitable measure of human capital has seemed clear over the past two decades.”
Study on the efficiency and effectiveness of public spending on tertiary education (2009, background): “, De la Fuente and Domenech, 2006; Cohen and Soto, 2007). A few studies disaggregate total human capital by levels of education –e.g., Pereira and St. Aubyn (2008) or Vandenbussche et al.”
•FDI from the South: The role of institutional distance and natural resources (2013, methodology): “All other data come from standard sources: macroeconomic data are from the World Bank Development Indicators; geographic data are from the CEPII distance and geodesic databases; data on average years of schooling are from Cohen and Soto (2007).”