scholarly journals Human Capital Quality and Aggregate Income Differences: Development Accounting for U.S. States

2015 ◽  
Author(s):  
Eric A. Hanushek ◽  
Jens Ruhose ◽  
Ludger Woessmann
2020 ◽  
Vol 91 ◽  
pp. 43-64
Author(s):  
Susanna G. Campbell ◽  
Murat Üngör

2022 ◽  
Vol 112 (1) ◽  
pp. 235-266
Author(s):  
Federico Rossi

I study how the relative efficiency of high- and low-skill labor varies across countries. Using microdata for countries at different stages of development, I document that differences in relative quantities and wages are consistent with high-skill workers being relatively more productive in rich countries. I exploit variation in the skill premia of foreign-educated migrants to discriminate between two possible drivers of this pattern: cross-country differences in the skill bias of technology and in the relative human capital of skilled labor. I find that the former is quantitatively more important, and discuss the implications of this result for development accounting. (JEL I26, J24, J31, J61, L16, O15)


2021 ◽  
pp. 1-18
Author(s):  
Jorge N. Valero-Gil ◽  
Magali Valero

2012 ◽  
Author(s):  
David Lagakos ◽  
Benjamin Moll ◽  
Tommaso Porzio ◽  
Nancy Qian ◽  
Todd Schoellman

2011 ◽  
Vol 17 (3) ◽  
pp. 621-645 ◽  
Author(s):  
Aamir Rafique Hashmi

I add intangible capital to a variant of the neoclassical growth model that already features physical and human capital, and study the implications for international income differences. I calibrate the parameters associated with intangible capital by using new estimates of investment in intangibles by Corrado et al. [Review of Income and Wealth 55, 661–685 (2009)] and depreciation rates by Corrado and Hulten [American Economic Review 100, 99–104 (2010)]. I find that for a given efficiency difference between rich and poor countries, the model with intangible capital can explain more than double the income differences of the model without. Put another way, in the benchmark case, differences in intangible capital account for 14.3% of the observed income differences. I also examine the role played by intangible capital in versions of the model with barriers to accumulation. In all the variants that I consider, differences in intangible capital account for 10% to 22% of the observed income differences.


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