Income Inequality in the United States: Reflections on the Role of Corporations

2018 ◽  
Vol 43 (1) ◽  
pp. 156-168 ◽  
Author(s):  
Anne S. Tsui ◽  
Georges Enderle ◽  
Kaifeng Jiang
Economies ◽  
2021 ◽  
Vol 9 (4) ◽  
pp. 159
Author(s):  
Muhammad Salar Khan ◽  
Abu Bakkar Siddique

Understanding the spatial or geographical dependence of income inequality and regional inequality is crucial in the study of inequality. This paper employs a multi-scale, multi-mechanism framework to map and analyze historical patterns of regional and income inequality in the United States (US) by using state and regional panel data spanning over a century. To explore the patterns systematically and see the role of spatial partitioning, we organize the data around several established geographical partitions before conducting various geographical information system (GIS) analyses and statistical techniques. We also investigate the spatial dependence of income inequality and regional inequality. We find that spatial autocorrelation exists for both types of inequality in the US. However, the magnitude of spatial dependence for regional inequality is declining whereas it is volatile for income inequality over time. While income inequality has been at its peak in the most recent decades, we also notice that regional inequality is at its lowest point. As for the choice of partitioning, we observe that within inequality dominates for Census Divisions and Bureau of Economic Analysis (BEA) regions. Conversely, we see that between inequality overall contributes the most to the inequality among Census Regions.


2021 ◽  
Vol 8 (8) ◽  
pp. 52-60
Author(s):  
Harshit Gupta ◽  
Shivansh Garg ◽  
Devang Garg

This paper concentrates on comparing the policies implemented in the United States of America and European Union after the 1960s which led to the inequality tends among the respective populations. Data comparison between the top 1% and bottom 50% households show significant increase in inequality in US whereas Europe has been successful in stabilizing these trends. Various factors such as role of European Union, role of Labour unions, Education, tax, and transfer policies are thoroughly explained with relevant data from various sources.


2017 ◽  
Vol 38 (2) ◽  
pp. 141-163 ◽  
Author(s):  
Tima T. Moldogaziev ◽  
James E. Monogan ◽  
Christopher Witko

AbstractProminent public policy models have hypothesised that rising income inequality will lead to more redistributive spending. Subsequent theoretical advancements and empirical research often failed to find a positive relationship between inequality and redistributive spending, however. Over the last few decades both income inequality and redistributive spending have been growing in the United States states. In this work, we consider whether temporal variation in inequality can explain variation in redistributive spending, while controlling for a number of factors that covary with redistributive spending in the states. In an analysis of data for 1976–2008, we find that higher levels of inequality are associated with greater redistributive spending, offering empirical evidence that fiscal policy at the state level responds to growing levels of income inequality. Considering the growing role of state governments in welfare provision during the past several decades, this finding is relevant for policy researchers and practitioners at all levels of government.


2021 ◽  
Vol 13 (3) ◽  
pp. 28-62
Author(s):  
Katy Bergstrom ◽  
William Dodds

Using a general labor supply model in which individuals choose how much to work conditional on productivities and preferences for consumption relative to leisure, we show that the mapping from earnings and hours worked to productivities and preferences can be expressed entirely in terms of reduced-form labor supply elasticities. We investigate the roles that productivities and preferences play in driving income inequality in the United States. Benchmark labor supply elasticity estimates from the literature imply that productivities drive most income inequality. Preferences become increasingly important relative to benchmark, with larger income effects or larger differences between earnings and hours-worked elasticities. (JEL J22, J24, D31, J31, H24, H31)


2008 ◽  
Vol 20 (3) ◽  
pp. 97-105 ◽  
Author(s):  
Smita C. Banerjee ◽  
Kathryn Greene ◽  
Marina Krcmar ◽  
Zhanna Bagdasarov ◽  
Dovile Ruginyte

This study demonstrates the significance of individual difference factors, particularly gender and sensation seeking, in predicting media choice (examined through hypothetical descriptions of films that participants anticipated they would view). This study used a 2 (Positive mood/negative mood) × 2 (High arousal/low arousal) within-subject design with 544 undergraduate students recruited from a large northeastern university in the United States. Results showed that happy films and high arousal films were preferred over sad films and low-arousal films, respectively. In terms of gender differences, female viewers reported a greater preference than male viewers for happy-mood films. Also, male viewers reported a greater preference for high-arousal films compared to female viewers, and female viewers reported a greater preference for low-arousal films compared to male viewers. Finally, high sensation seekers reported a preference for high-arousal films. Implications for research design and importance of exploring media characteristics are discussed.


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