Regional Differences in Human Capital and Occupational Choice: Evidence from Mexico

Author(s):  
Kanat Abdulla ◽  
Balzhan Serikbayeva ◽  
Yessengali Oskenbayev ◽  
Farhad Taghizadeh-Hesary
2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Lucila Berniell

AbstractInformality is pervasive in many developing countries and it can affect occupational and educational decisions. Cross-country data shows that the rate of entrepreneurship as well as the gap between the skill premium for entrepreneurs and for workers increase with the size of the informal economy. Also, in countries with larger informal sectors the fraction of high-skilled individuals that choose to be entrepreneurs is larger. To explain these facts, I develop a model economy with human capital investments, occupational choice and an informal sector, in which the investment in human capital improves the efficiency of labor as well as managerial skills, and the technology to produce goods exhibits capital-skill complementarity. Model predictions can account for cross-country evidence and also shed light on the mechanisms at work when the level of informality in the economy increases. In particular, a higher level of informality discourages human capital investments for workers while it incentivizes these investments for the case of some managers, mostly informal but talented.


1990 ◽  
Vol 8 (1, Part 1) ◽  
pp. 123-144 ◽  
Author(s):  
Morton Paglin ◽  
Anthony M. Rufolo

2018 ◽  
Vol 19 (1) ◽  
Author(s):  
Ting Ji

Abstract This paper documents occupational inheritance – that is, children’s inheritance of their parents’ occupations – in China, India, and other countries. Among the causes of the prevalence of occupational inheritance, we target two broad categories that impede growth: labor market frictions and barriers to human capital acquisition. Counterfactual experiments based on a tractable occupational choice model suggest that if the impediments mentioned above were reduced to the US levels, labor productivity would grow by 60–75% in China and 107–178% in India. China realized 74–89% of this growth potential from the 1980s to 2009. In addition, this productivity gain is accompanied by a decrease in the correlation of intergenerational incomes.


2012 ◽  
Vol 102 (7) ◽  
pp. 3531-3560 ◽  
Author(s):  
Mark M Pitt ◽  
Mark R Rosenzweig ◽  
Mohammad Nazmul Hassan

A model of human capital investment and activity choice is used to explain facts describing gender differentials in the levels and returns to human capital investments and occupational choice. These include the higher return to and level of schooling, the small effect of healthiness on wages, and the large effect of healthiness on schooling for females relative to males. The model incorporates gender differences in the level and responsiveness of brawn to nutrition in a Roy-economy setting in which activities reward skill and brawn differentially. Evidence from rural Bangladesh provides support for the model and the importance of the distribution of brawn.


1968 ◽  
Vol 34 (3) ◽  
pp. 406 ◽  
Author(s):  
Maurice C. Benewitz ◽  
Albert Zucker

2009 ◽  
Author(s):  
Georgios A. Panos ◽  
Konstantinos Pouliakas ◽  
Alexandros Zangelidis

2017 ◽  
Vol 25 ◽  
pp. 151-186 ◽  
Author(s):  
Martí Mestieri ◽  
Johanna Schauer ◽  
Robert M. Townsend

2020 ◽  
Vol 12 (1) ◽  
pp. 210-244 ◽  
Author(s):  
Fatih Guvenen ◽  
Burhan Kuruscu ◽  
Satoshi Tanaka ◽  
David Wiczer

What determines the earnings of a worker relative to his peers in the same occupation? What makes a worker fail in one occupation but succeed in another? More broadly, what are the factors that determine the productivity of a worker-occupation match? To help answer questions like these, we propose an empirical measure of multidimensional skill mismatch that is based on the discrepancy between the portfolio of skills required by an occupation and the portfolio of abilities possessed by a worker for learning those skills. This measure arises naturally in a dynamic model of occupational choice and human capital accumulation with multidimensional skills and Bayesian learning about one’s ability to learn skills. Not only does mismatch depress wage growth in the current occupation, it also leaves a scarring effect—by stunting skill acquisition—that reduces wages in future occupations. Mismatch also predicts different aspects of occupational switching behavior. We construct the empirical analog of our skill mismatch measure from readily available US panel data on individuals and occupations and find empirical support for these implications. The magnitudes of these effects are large: moving from the worst- to best-matched decile can improve wages by 11 percent per year for the rest of one’s career. (JEL E24, J24, J31, J41)


Sign in / Sign up

Export Citation Format

Share Document