Three recent papers have argued, in my view persuasively, that the impact of human capital on growth has been under-estimated. Here's a quick summary of them:
Paper 1: Human Capital in Growth Regressions: how much difference does data quality make? by Angel de la Fuente and Rafael Domenech (Journal of the European Economic Association, March 2006) finds that better human capital data finds a a stronger positive correlation with growth than earlier studies:
We construct estimates of educational attainment for a sample of 21 OECD countries. Our series incorporate previously unexploited information and remove sharp breaks in the data that can only reflect changes in classification criteria. We then construct indicators of the information content of our estimates and a number of previously available data sets and examine their performance in several growth specifications.
We find a clear positive correlation between data quality and the size and significance of human capital coefficients in growth regressions. Using an extension of the classical errors in variables model to correct for measurement error bias, we construct a set of meta-estimates of the coefficient of years of schooling in an aggregate Cobb-Douglas production function. Our results suggest that the value of this parameter is likely to be above 0.60.
An extended working paper version, along with a document describing the construction of the education series and a spreadsheet with the data, are available here.
Paper 2: Human Capital, the Structure of Production, and Growth (PDF) by Antonio Ciccone and Elias Papaioannou (November 2005) uses data for 37 manufacturing industries in around 40 countries to examine whether more or better education "was associated with faster growth in schooling-intensive industries in the 1980’s. The short answer is yes. Here's the longer answer:
Do high levels of human capital foster economic growth by facilitating technology adoption? If so, countries with more human capital should have adopted more rapidly the skilled-labor augmenting technologies becoming available since the 1970’s. High human capital levels should therefore have translated into fast growth in more compared to less human-capital-intensive industries in the 1980’s. Theories of international specialization point to human capital accumulation as another important determinant of growth in human-capital-intensive industries. Using data for a large sample of countries, we find significant positive effects of human capital levels and human capital accumulation on output and employment growth in human-capital-intensive industries.
Paper 3: On the Aggregate and Distributional Implications of Productivity Differences across Countries, by Andrés Erosa, Tatyana Koreshkova and Diego Restuccia (Richmond FRB Working Paper 06-2, March 2006) finds that returns from human capital play a central role in explaining income and productivity differences between nations:
We develop a quantitative theory of human capital with heterogeneous agents in order to assess the sources of cross-country income differences. ..Our quantitative model generates a total-factor-productivity (TFP) elasticity of output per worker of 2.8. This implies that a factor of 3 difference in TFP is amplified through physical and human capital accumulation to generate a factor of 20 difference in output per worker -- as observed in the data between rich and poor countries. The implied difference in TFP is in the range of estimates from micro studies. The theory suggests that using Mincer returns to measure human capital understates human capital differences across countries by a factor of 2.
The cross-country differences in human capital implied by the theory are consistent with evidence from earnings of immigrants in the United States. We also find that TFP has substantial effects on cross-sectional inequality and intergenerational mobility and that public education policies can have important aggregate and distributional implications.
These are important findings, which I hope will attract the attention they deserve.
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