Organizational Diversity, Labor Markets, and Wage Inequality

2007 ◽  
Vol 50 (5) ◽  
pp. 659-676 ◽  
Author(s):  
Jesper B. Sørensen
1995 ◽  
Vol 4 (2-3) ◽  
pp. 387-409 ◽  
Author(s):  
Yoshio Okunishi ◽  
Tetsu Sano

In the early 1990s, the inflow of two types of legal foreign workers, descendants of Japanese emigrants and foreign trainees, increased substantially, although the increase in the number of illegal workers was even greater. Exploitation of those in the first category has occurred partly because of inadequate information and illegal brokers but the structural cause is wage inequality between sending and receiving countries. Foreign trainees are often seen as disguised cheap labor which constitutes on important element in the survival strategies of Japanese corporations in the global economy. An improved job placement system, more vigorous methods to combat illegal recruitment, and policies to enhance the economic development of trainee-sending countries are recommended.


2018 ◽  
Vol 37 (3) ◽  
pp. 219-232
Author(s):  
E. Holly Buttner ◽  
William Latimer Tullar

Purpose Workforce analytics is an evolving measurement approach in human resource (HR) planning and strategy implementation. Workforce analytics can help organizations manage one of their most important resources: their human capital. The purpose of this paper is to propose a diversity metric, called the D-Metric, as a new tool for HR planning. The D-Metric can be used to assess the demographic representativeness of employees across skill categories of an organization’s workforce compared to its relevant labor markets. Design/methodology/approach The authors present a real example and discuss possible applications of the D-Metric in HRM strategic planning and diversity research. Findings The D-Metric is a statistic useful in assessing demographic representativeness in the occupational categories of an organization’s workforce compared to the demographics of its relevant labor markets. The methodology could be implemented to assess an organization’s work force representativeness on dimensions such as race, sex, age and pay levels. When the labor market is unitary, without measurable variance, a substitute metric, the U-Metric also presented in this paper, can be used. Research limitations/implications Use of the D-Metric requires publicly available labor market data with variance across labor market segments. Originality/value There currently is no published metric that evaluates the representativeness of an organization’s work force relative to its relevant labor markets. Many organizations seek a demographically representative workforce to better understand their diverse customer segments. Monitoring the representativeness of an organization’s work force, as captured in Equal Employment Opportunity (EEO-1) forms in the USA, for example, is an important component of HR management strategy. From a legal perspective, the D-Metric or the alternative U-Metric, could be useful in showing progress toward a demographically representative work force.


2004 ◽  
Vol 109 (4) ◽  
pp. 902-936 ◽  
Author(s):  
Matt L. Huffman ◽  
Philip N. Cohen

2021 ◽  
Author(s):  
Andreas Haupt

Licensing is a central institution in labor markets worldwide. Using the example of the USA and Germany, this study shows strong institutional differences between licensing systems that are of great importance for wage distribution but are not yet part of the debate about the economic consequences of licensing. The two countries differ significantly in terms of the rules of entry into occupational labor markets, the competencies of occupational boards, and the combination of licensing with price regulation. I claim that licensing systems change the bargaining power and bargaining scope for wages, which leads to different wage premiums across the distribution and different consequences for wage inequality. Using novel license data, I empirically show that licensing is associated with the largest relative wage premium for German low-wage and American middle-wage workers. In addition, the USA system leads to greater dispersion among licensed workers and to higher wage inequality overall. In contrast, the German system compresses wages for licensed workers, thereby reducing overall wage inequality.


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