Found 6 article(s) for author 'Human Capital'

Human-Capital Externalities in China

Human-Capital Externalities in China. Edward Glaeser, August 2018, Paper, “This paper provides evidences of heterogeneous human-capital externality using CHIP 2002, 2007 and 2013 data from urban China. After instrumenting city-level education using the number of relocated university departments across cities in the 1950s, one year more city-level education increases individual hourly wage by 22.0 percent, more than twice the OLS estimate. Human-capital externality is found to be greater for all groups of urban residents in the instrumental variable estimation.Link

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Augmenting the Human Capital Earnings Equation with Measures of Where People Work

Augmenting the Human Capital Earnings Equation with Measures of Where People Work. Richard Freeman, August 2016, Paper, “We augment standard log earnings equations for workers in US manufacturing with variables reflecting measured and unmeasured attributes of their employer. Using panel employee-establishment data, we find that establishment-level employment, education of coworkers, capital equipment per worker, and firm-level R&D intensity affects earnings substantially. Unobserved characteristics of employers captured by employer fixed effects also contribute to the variance of log earnings, although less than unobserved characteristics of individuals captured by individual fixed effects. The observed and unobserved measures of employers mediate the effects of individual characteristics on earnings and increase earnings inequality through sorting of workers among establishments.Link

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The Production of Human Capital in Developed Countries: Evidence from 196 Randomized Field Experiments

The Production of Human Capital in Developed Countries: Evidence from 196 Randomized Field Experiments. Roland Fryer, March 2016, Paper. “Randomized field experiments designed to better understand the production of human capital have increased exponentially over the past several decades. This chapter summarizes what we have learned about various partial derivatives of the human capital production function, what important partial derivatives are left to be estimated, and what – together – our collective efforts have taught us about how to produce human capital in developed countries. The chapter concludes with a back of the envelope simulation of how much of the racial wage gap in America might be accounted for if human capital policy focused on best practices gleaned from randomized field experiments.Link

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Which Countries’ Citizens Are Better Off With Trade?

Which Countries’ Citizens Are Better Off With Trade? Stephen Kosack, 2015, Paper. “We attempt to reconcile competing arguments regarding international trade’s implications for citizen well-being: that trade either erodes citizen welfare by decreasing the incentives and resources for welfare improvements or leads to higher welfare by increasing those incentives and resources. We find that which of these two dynamics a country experiences depends on its level of human capital. In countries already well-endowed with human capital, greater international trade reinforces further improvements in welfare. But in most countries, the workforce has not yet…Link

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Growth in Regions

Growth in Regions. Andrei Shleifer, July 15, 2014, Paper. “We use a newly assembled sample of 1,528 regions from 83 countries to compare the speed of per capita income convergence within and across countries. Regional growth is shaped by similar factors as national growth, such as geography and human capital. Regional convergence rate is about 2% per year, comparable to that between countries. Regional convergence is faster in richer countries, and countries with better capital markets…” Link Verified October 18, 2014

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Entrepreneurs, Firms and Global Wealth since 1850

Entrepreneurs, Firms and Global Wealth since 1850. Geoffery G. Jones, March 12, 2013, Paper. “We live today in a world where most people are poor and some are very rich, and the category in which you find yourself is largely determined not by your job, your age or your gender but by your location. Despite the fast economic growth of China and India over the past two decades, most people in the world today are very poor. Nearly 3 billion people live on less than $2 a day; almost 1 billion are illiterate…” Link Verified October 11, 2014

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