Human capital in growth regressions: how much difference does data quality make? An update and further results

By Á. D. L. Fuente, Rafael Doménech. 2002

229 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/78fc0d52f7cbc8b18f9a5bde71184283b1676cac

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Citations in the corpus

Are educational gender gaps a brake on economic development? Some cross‐country empirical evidence (2002, methodology): “24 There is some evidence to suggest that, for common samples, the correlations between different constructed proxies are reasonably high (de la Fuente and Doménech, 2000).”
Accounting for Cross-Country Income Differences (2004, unknown): “Indeed, for the 15-country sample in 1995 the correlation between the De la Fuente and Doménech (2002), and the Barro and Lee (2001) data I use in the rest of the paper is 0.78.”
The Cluster Policies Whitebook (2004, background): “…of education appears to decline in importance (Nehru et al., 1995; Psacharoulos, 1995; Barro and Lee, 1996), quality investment, the processes of life-long learning – and the use of skills – appear to make the difference (Mincer, 1989; Grindley and Teece, 1997; De la Fuente and Dmenech, 2000).”
A New Data Set of Educational Attainment in the World, 1950-2010 (2013, unknown): “The data set improvements address most of the concerns raised by critics, including De La Fuente and Doménech (2006) and Cohen and Soto (2007).”
Reconstruction of populations by age, sex and level of educational attainment for 120 countries for 1970-2000 (2007, result): “Similar independent efforts have been made by Kyriacou (1991) Lau et al. (1991), Nehru et al. (1995), De la Fuente and Doménech (2002), and by Cohen and Soto (2001), which in many cases result in quite different estimates of mean years of schooling, with most of the estimates being significantly…”
Do Tax Structures Affect Aggregate Economic Growth (2008, background): “…sample period, Bassanini and Scarpetta (2001) found the elasticity of output with respect to years of schooling to range between 0.4 and 0.7; de la Fuente and Domenech (2006), using different schooling datasets and different production functions, found that the elasticity was invariably above 0.6.”