Discrimination and Monopsony Power

2021 ◽  
pp. 003464462110256
Author(s):  
Mark Stelzner ◽  
Kate Bahn

Wage inequalities between identical workers of different race, ethnicity, and gender are a persistent feature of labor markets. However, most labor market models either ignore important empirical evidence or focus very narrowly on specific labor market dynamics. To better understand such wage differences, we create a labor market model that integrates firm competition for workers, employee movement between jobs in response to market signals, potential monetary frictions in the job transition process, and workers' collective action which is a function of government support. Our model shows that because of gender- and race-specific historical and social outcomes, like the relatively lower household wealth of Black and Latino families and the increased household responsibilities of women, women and minority workers are more exploitable; employers can push their wage farther below the value of their marginal product. Also, our model shows that the cumulative wage gap for non-White women is greater than the additive gaps of being nonmale and non-White. Lastly, our model shows that a reduction in government support for collective action enables employers to wield monopsony power more freely, independent of changes in employer concentration. Because certain groups are more exploitable, employers' increased capability in wielding monopsony power means increased wage differentials replicating discriminatory biases against marginalized groups of workers.

Author(s):  
William J. Collins ◽  
Michael Q. Moody

This article documents and explores black–white differences in US women’s labor force participation, occupations, and wages from 1940 to 2014. It draws on closely related research on selection into the labor force, discrimination, and prelabor market characteristics, such as test scores, that are strongly associated with subsequent labor market outcomes. Both black and white women significantly increased their labor force participation in this period, with white women catching up to black women by 1990. Black–white differences in occupational and wage distributions were large circa 1940; they have narrowed significantly since then as black women’s relative outcomes improved. Following a period of rapid convergence, the racial wage gap for women widened after 1980 in census data. Differences in human capital, which are rooted in the history of racial discrimination, are an empirically important underpinning of the black–white wage gap throughout the period studied.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Lam Hoang Viet Le ◽  
Toan Luu Duc Huynh ◽  
Bryan S. Weber ◽  
Bao Khac Quoc Nguyen

PurposeThis paper aims to identify the disproportionate impacts of the COVID-19 pandemic on labor markets.Design/methodology/approachThe authors conduct a large-scale survey on 16,000 firms from 82 industries in Ho Chi Minh City, Vietnam, and analyze the data set by using different machine-learning methods.FindingsFirst, job loss and reduction in state-owned enterprises have been significantly larger than in other types of organizations. Second, employees of foreign direct investment enterprises suffer a significantly lower labor income than those of other groups. Third, the adverse effects of the COVID-19 pandemic on the labor market are heterogeneous across industries and geographies. Finally, firms with high revenue in 2019 are more likely to adopt preventive measures, including the reduction of labor forces. The authors also find a significant correlation between firms' revenue and labor reduction as traditional econometrics and machine-learning techniques suggest.Originality/valueThis study has two main policy implications. First, although government support through taxes has been provided, the authors highlight evidence that there may be some additional benefit from targeting firms that have characteristics associated with layoffs or other negative labor responses. Second, the authors provide information that shows which firm characteristics are associated with particular labor market responses such as layoffs, which may help target stimulus packages. Although the COVID-19 pandemic affects most industries and occupations, heterogeneous firm responses suggest that there could be several varieties of targeted policies-targeting firms that are likely to reduce labor forces or firms likely to face reduced revenue. In this paper, the authors outline several industries and firm characteristics which appear to more directly be reducing employee counts or having negative labor responses which may lead to more cost–effect stimulus.


2021 ◽  
pp. 019791832110405
Author(s):  
Stephan Brunow ◽  
Oskar Jost

The German Council of Economic Experts (GCEE) argues for a labor market-driven immigration of skilled migrants into Germany to overcome a decline in workforce due to demographic ageing. We pick up this current debate on skilled immigration by analyzing the migrant-native wage differential for skilled workers in Germany and consider various information on firms. Our results indicate that the wage gap is mainly explained by observable characteristics, especially labor market experience and firm characteristics. However, we find lower rewards for migrants’ labor market experience than for natives (flatter experience curves). Our results show that these differences in experience curves become negligible in the long run. Moreover, we reveal firms’ wage-setting policies: Firms evaluate a worker's education independent of migration backgrounds, as migrants possess the same productivity levels as their German counterparts in the same occupations and task levels. Due to Germany's heterogeneous immigration structure, we are able to compare the results for different migrant subgroups and, thus, derive valuable insights into the migrant-native wage structure with a wide reach beyond Germany. This article adds to current debates in various industrialized countries with demographic ageing patterns, as it focuses on an important group for domestic labor markets: skilled immigrants.


2018 ◽  
Vol 52 (2) ◽  
pp. 263-282 ◽  
Author(s):  
Allison Spencer Hartnett

AbstractBefore the Syrian civil war, Egyptians were the single largest migrant labor community in Jordan. Labor market pressures and changes to the Jordanian work permit system have resulted in the increasing vulnerability of Egyptian labor, who have been the primary labor force on Jordanian farms and construction sites since the late 1970s. Using new data from the 2015 Jordanian census, the 2010 and 2016 Jordan Labor Market Panel Survey, and field interviews conducted in Jordan from 2014 to 2018, I show that higher concentrations of Syrians at the subdistrict level are associated with higher rates of informal labor market participation for Egyptians. Furthermore, higher proportions of Syrians do not correlate with negative impacts on the formality or household wealth of Jordanian citizens, suggesting that Syrian labor does not directly compete with the Jordanian labor force. Given the importance of supporting host communities during refugee crises, this analysis sheds light on how mass forced migration affects other vulnerable segments of the migrant labor force in the Global South.


2015 ◽  
Vol 105 (10) ◽  
pp. 3030-3060 ◽  
Author(s):  
Leo Kaas ◽  
Philipp Kircher

We develop and analyze a labor market model in which heterogeneous firms operate under decreasing returns and compete for labor by posting long-term contracts. Firms achieve faster growth by offering higher lifetime wages, which allows them to fill vacancies with higher probability, consistent with recent empirical findings. The model also captures several other regularities about firm size, job flows, and pay, and generates sluggish aggregate dynamics of labor market variables. In contrast to existing bargaining models with large firms, efficiency obtains and the model allows a tractable characterization over the business cycle. (JEL E24, J64, L11)


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