The relationship between income inequality and inequality in schooling

2010 ◽  
Vol 8 (1) ◽  
pp. 5-20 ◽  
Author(s):  
Susan E. Mayer

Children of affluent parents get more schooling than children of poor parents, which seems to imply that reducing income inequality would reduce inequality in schooling. Similarly, one of the best predictors of an individual’s income is his educational attainment, which seems to imply that reducing inequality in schooling will reduce income inequality. Economic theory predicts that all else being equal an increase in income inequality will lead to an increase in inequality of educational attainment. Empirical estimates suggest that when income inequality increased in the United States so did inequality in educational attainment. But changes in government education policies reduced the impact of the increase in income inequality on inequality in schooling. Economic theory also predicts that all else being equal an increase in inequality of educational attainment will result in greater inequality of earnings. But unequal schooling does not account for much of the variance in income, so equalizing schooling will do little to reduce the overall variation in economic success among adults.

2019 ◽  
Vol 73 (4) ◽  
pp. 790-804 ◽  
Author(s):  
David Macdonald

The United States has become increasingly unequal. Income inequality has risen dramatically since the 1970s, yet public opinion toward redistribution has remained largely unchanged. This is puzzling, given Americans’ professed concern regarding, and knowledge of, rising inequality. I argue that trust in government can help to reconcile this. I combine data on state-level income inequality with survey data from the Cumulative American National Election Studies (CANES) from 1984 to 2016. I find that trust in government conditions the relationship between inequality and redistribution, with higher inequality prompting demand for government redistribution, but only among politically trustful individuals. This holds among conservatives and non-conservatives and among the affluent and non-affluent. These findings underscore the relevance of political trust in shaping attitudes toward inequality and economic redistribution and contribute to our understanding of why American public opinion has not turned in favor of redistribution during an era of rising income inequality.


1998 ◽  
Vol 9 (5) ◽  
pp. 549-568
Author(s):  
Noel D. Uri

The impact of energy on the adoption of conservation tillage is of special importance in addressing concerns about the effect of agricultural production on the environment in the United States. It is the subject of this paper. After establishing that a relationship exists between the price of energy and the adoption of conservation tillage via cointegration techniques, the relationship is quantified. It is shown that while the real price of crude oil, the proxy used for the price of energy, does not affect the rate of adoption of conservation tillage, it does impact the extent to which it is used. Finally, there is no structural instability in the relationship between the relative use of conservation tillage and the real price of crude oil over the period 1963 to 1997.


2018 ◽  
Author(s):  
Emma Zang

This study is the first to systematically examine the educational differentials in fertility levels and timing across four 5-year cohorts among Generation Xers in the United States. Little attention has been paid to the relationship between U.S. women’s educational attainments and fertility behaviors among those born after 1960 by previous studies. Results reveal that the cohort Total Fertility Rate among college graduates is lower than those of the less educated. However, there is evidence of an emerging trend: an increasing proportion of college-educated women with two children have transitioned to a third. Although college-educated women postpone first births, they tend to ‘catch up’ by spacing higher-order births closer to first births compared to the less-educated.


2020 ◽  
Vol 39 (6) ◽  
pp. 8831-8838
Author(s):  
Bin Wang ◽  
Qingyuan Zhou

The global economy appears the trend of anti-globalization under the influence of COVID-19. Based on the input-output table of lead database from 2006 to 2020, this paper divides the factors that affect the development of financial industry in China, the United States and Russia into six aspects: price, intermediate input, household consumption, government consumption, export and import. ADGA-BP neural network model is proposed in this paper, which is based on six aspects of price, intermediate input, consumer, government consumption, export and import. The intermediate input is decomposed from the perspective of industrial structure to study the interrelationship between financial industry and other industries in the three countries. The results show that the intermediate input is the main factor in the development of financial industry in the three countries, but the source industries of the intermediate input are not the same; the two factors of household consumption and price are closely related to the development of financial industry in the three countries, and they all play a role in promoting China, while the relationship between household consumption and the United States and between price and Russia is reverse; Government consumption only has a significant impact on Russia; from the perspective of mutual influence, the mutual investment between the financial industry of China and the United States is relatively large, while the relationship between the Russian financial industry and the two countries is relatively weak. It shows that under the background of covid-19, the development of financial industry is affected.


2016 ◽  
Vol 18 (11) ◽  
pp. 2469-2484 ◽  
Author(s):  
Sharif Mowlabocus

This article reflects upon recent developments in sex offender tracking and monitoring. Taking as its focus a suite of mobile applications available for use in the United States, the author explores the impact and consequences of remediating the data held by State offender databases. The article charts the recent history of techno-corrections as it applies to this category of criminal, before then undertaking an analysis of current remediation of this legally obtained data. In doing so, the author identifies how the recontextualizing of data serves to (re)negotiate the relationship between the user, the database and registered sex offenders. The author concludes by arguing that the (mobile) mapping of offender databases serves to obscure the original intentions of these recording mechanisms and might hinder their effectiveness in reducing sex offending.


AERA Open ◽  
2019 ◽  
Vol 5 (3) ◽  
pp. 233285841987405
Author(s):  
Lauren Schudde ◽  
Kaitlin Bernell

Although decades of research highlight the impact of schooling on earnings, less evidence exists regarding other employment outcomes. Nonwage labor market returns to education are important in the United States, where health insurance and retirement income are typically tied to employment. Using longitudinal, nationally representative data, we examine the role of educational attainment in predicting nonwage employment outcomes and control for a host of individual and institutional measures. Even after controlling for individual and institutional characteristics, results indicate that educational attainment predicts employment and markers of “good” jobs, like access to employer-provided health and dental insurances, retirement plans, and paid leave. Furthermore, by delineating between various subbaccalaureate levels of college attainment, our results illustrate the complex variation in returns to college for those who did not complete a 4-year degree.


2018 ◽  
Vol 48 (2) ◽  
pp. 249-269 ◽  
Author(s):  
OWEN DAVIS

AbstractThis article provides new evidence on the relationship between benefit conditionality and mental health. Using data on Temporary Assistance for Needy Families policies (TANF) – the main form of poverty relief in the United States – it explores whether the mental health of low-educated single mothers varies according to the stringency of conditionality requirements attached to receipt of benefit. Specifically, the article combines state-level data on sanctioning practices, work requirements and welfare-to-work spending with health data from the Behavioral Risk Factor Surveillance System and evaluates the impact of conditionality on mental health over a fifteen-year period (2000 to 2015). It finds that states that have harsher sanctions, stricter job search requirements and higher expenditure on welfare-to-work policies, have worse mental health among low-educated single mothers. There is also evidence that between-wave increases in the stringency of conditionality requirements are associated with deteriorations in mental health among the recipient population. It is suggested that these findings may reflect an overall effect of ‘intensive conditionality’, rather than of the individual variables per se. The article ends by considering the wider implications for policy and research.


2014 ◽  
Vol 30 (6) ◽  
pp. 1803
Author(s):  
Xinyi Lu

This paper examines the relationship between the regional variation in social capital in the United States and the propensity and properties of the management earnings forecasts. Social capital refers to connections among individualssocial networks and the norms of reciprocity and trustworthiness that arise from them (Putnam 2000). Using a comprehensive sample of companies in the United States, we find that firms located in region with higher social capital are more likely to issue a management earnings forecast and are inclined to forecast more frequently. In addition, earnings forecasts made by those firms tend to be more specific. Our findings suggest that mangers of firms in the high social capital regions are more likely to be concerned about their reputation of providing transparent information regarding their businesses because of the close connections among individuals and the greater propensities to honor obligations. This study contributes to the accounting literature by identifying a non-financial factor (i.e., social capital) that affects managements voluntary disclosure practices.


2020 ◽  
Vol 15 (1) ◽  
pp. 127-141
Author(s):  
Mauro Joseph

AbstractThis paper explores the relationship between economic growth and intergenerational mobility in the United States. Data from metropolitan statistical areas in the U.S. is used to examine how two measures of intergenerational mobility impact growth rates. More precisely, I examine how absolute income mobility and relative income mobility are related the growth rate of real gross metropolitan product (RGMP) from 2001 to 2011. I find that absolute mobility has a positive relationship with RGMP growth over the time period, and that relative mobility exhibits a negative relationship with RGMP. Results are found to be robust to two stage least squares estimation.


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