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Author:Shin, Yongseok 

Journal Article
Taking Stock of the Evidence on Microfinancial Interventions

We review the empirical evidence on microfinance and asset grants to the ultra poor or microentrepreneurs and use quantitative economic theory to account for this evidence. Properly executed, these interventions can help segments of the population increase their income and consumption, but neither literature gives much reason to believe that such interventions can lead to wide-scale, transformative impacts akin to escaping aggregate poverty traps.
Review , Volume 102 , Issue 2 , Pages 173-202

Journal Article
Industrial and Occupational Employment Changes During the Great Recession

The U.S. labor market contracted sharply during the Great Recession. The ensuing recovery has been sluggish and by some measures still incomplete. In this paper, we break down aggregate employment during the Recession and the recovery into changes across industries and occupations. There is a clear asymmetric pattern: The contraction is driven by sectors and the recovery by occupations. In particular, the contraction between 2008 and 2010 primarily reflects a steep decline in construction employment, partially mitigated by expansions in the food services, education, and health industries. The ...
Review , Volume 99 , Issue 4 , Pages 307-317

Journal Article
Occupational Mobility and Lifetime Earnings

People?s occupations have a significant amount of information about their wages. However, because people?especially young workers?go through multiple occupations and employment statuses during their working lives, we find that their occupations at a young age do not predict their lifetime earnings well. When educational attainment and gender are considered, we find that across education-gender groups the differences in lifetime earnings are even larger than the differences in average occupational wages: Workers in high-wage education-gender groups (men with college degrees, for example) work ...
Review , Volume 101 , Issue 3

Journal Article
The Rule of Law, Firm Size, and Family Firms

Countries with a weaker rule of law tend to have more family-run firms, which tend to be small and grow slowly.
Economic Synopses , Issue 19 , Pages 1-2

Journal Article
Where Are the Workers? From Great Resignation to Quiet Quitting

To better understand the tight post-pandemic labor market in the US, we decompose the decline in aggregate hours worked into extensive margin changes (fewer people working) and intensive margin changes (workers working fewer hours). Although the preexisting trend of lower labor force participation, especially by young men without a bachelor's degree, accounts for some of the decline in aggregate hours, the intensive margin accounts for more than half of the decline between 2019 and 2022. The decline in hours among workers was larger for men than women. Among men, the decline was larger for ...
Review , Volume 106 , Issue 1 , Pages 59-71

Working Paper
The macroeconomics of microfinance

We provide a quantitative evaluation of the aggregate and distributional impact of microfinance or credit programs targeted toward small businesses. We find that the redistributive impact of microfinance is stronger in general equilibrium than in partial equilibrium, but the impact on aggregate output and capital is smaller in general equilibrium. Aggregate total factor productivity (TFP) increases with microfinance in general equilibrium but decreases in partial equilibrium. When general equilibrium effects are accounted for, scaling up the microfinance program will have only a small impact ...
Working Papers , Paper 2013-034

Journal Article
Hit Harder, Recover Slower? Unequal Employment Effects of the COVID-19 Shock

The destructive economic impact of the COVID-19 pandemic was distributed unequally across the population. A worker's gender, race and ethnicity, age, education, industry, and occupation all mattered. We analyze the initial negative effect and its lingering effect through the recovery phase, across demographic and socioeconomic groups. The initial negative impact on employment was larger for women, minorities, the less educated, and the young whether or not we account for the industries and occupations they worked in. By February 2021, however, the differential effects across groups had gotten ...
Review , Volume 103 , Issue 4 , Pages 367-383

Journal Article
Who Should Work from Home During a Pandemic? The Wage-Infection Trade-off

Shutting down the workplace is an effective means of reducing contagion but can induce large economic losses. We harmonize the American Time Use Survey and O*NET data to construct a measure of infection risk (exposure index) and a measure of the ease with which a job can be performed remotely (work-from-home index) across both industries and occupations. The two indexes are negatively correlated but distinct, so the economic costs of containing a pandemic can be minimized by sending home only those workers that are highly exposed to infection risk but that can perform their jobs easily from ...
Review , Volume 104 , Issue 2 , Pages 92-109

Journal Article
Misallocation and Manufacturing TFP in Korea, 1982-2007

The authors apply the analysis of Hsieh and Klenow (2009) to assess the degree of resource misallocation in the Republic of Korea manufacturing sector from 1982 to 2007. They find improvement in the aggregate allocative efficiency during the first decade and a strong reversal after 1992. This pattern reflects the dynamics of the within-industry distortion measures for most industries and is consistent with the evolving systematic relationship between the age/value added of establishments and their measured idiosyncratic distortions over the sample period. Their finding suggests that the ...
Review , Volume 99 , Issue 2

Journal Article
The Labor Market Impact of Digital Technologies

We investigate the impact of digital technology on employment patterns in Korea, where firms have rapidly adopted digital technologies such as artificial intelligence (AI), big data, and cloud computing. By exploiting regional variations in technology exposure, we find significant negative effects on female workers, particularly those in non-IT (information technology) services. This contrasts with previous technological disruptions, such as the IT revolution and robotization, which primarily affected male workers in manufacturing. The negative employment effect of AI did not differ across ...
Review , Volume 107 , Issue 5 , Pages 1-10

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