How Government Created and Shaped the U.S. Nursing Home Industry

2019 ◽  
Vol 46 (6) ◽  
pp. 881-897
Author(s):  
Leslie King

Beginning in the 1960s, U.S. government policy largely created, and subsequently facilitated the corporatization of, a powerful, multi-billion dollar nursing home industry. Using data from trade publications, government agency reports, Congressional hearings, newspaper reports and existing scholarly research, I chart the relationship between the state and the U.S. nursing home industry over four time periods to reveal how, at different moments, government policy contributed to first the creation, then the corporatization and consolidation of the industry. I argue that the trajectory of Medicare and Medicaid policy is not wholly neoliberal but neither should it be considered progressive.

2020 ◽  
Vol 3 (3) ◽  
pp. p70
Author(s):  
Lewis R. Gale ◽  
Clifford Nowell

The objective of this paper is to explore the impact of amotivation on academic performance and to test whether the impact of motivation on academic performance differs across students from China and the U.S. Using data from Chinese and U.S. students located in their home countries, we find amotivation negatively impacts academic performance of both groups of students. We also show that external motivation is positively associated with academic achievement. While these findings are consistent with results from previous studies, we extend the understanding on the relationship between motivation and academic performance by demonstrating that the magnitude of the detrimental impact of amotivation differs between students in the two countries and that the positive impact of higher levels of external motivation provides similar benefits for both groups of students.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  

Purpose The purpose of this study is to examine the relationship between manager’s Strategic intelligence, organizational development and entrepreneurial behavior. Design/methodology/approach Data is gathered from the responses of 274 employees from a government agency in an underdeveloped country to three standard questionnaires. Findings The results show significant positive relationships between manager’s SI and OD and manager’s SI and EB but no significant moderating effects of demographic variables with the exception gender which had a significant effect on managers’ SI- EB relationship. Practical implications Therefore to optimize performance and gain a competitive advantage training to improve SI and EB should be provided and consideration should be given to improving internal factors within the organization to promote OD. Originality/value This paper has an original approach by using data collected in a government agency in an underdeveloped country to propose a model of manager’s SI, OD and EB.


2018 ◽  
Vol 18 (3) ◽  
Author(s):  
Timothy N. Bond ◽  
Laura Salisbury

Abstract We develop a model of migration in the face of geographic information asymmetries. Firms from a given city observe whether or not a local worker is a member of a disadvantaged local community, a negative indicator of productivity, but do not have this information for migrants to this city. With this knowledge, workers must decide whether to migrate and obscure information about their community of origin. Our model generates results consistent with recent trends in intergenerational mobility and internal migration as well as new predictions about the relationship between migrant outcomes and income segregation. We confirm these predictions using data from the U.S. census.


Author(s):  
Karen A Kitching ◽  
Eileen Coble ◽  
Alex Phillips

This case instructs students on how to extract, transform, and load (ETL) data from disparate sources to perform analysis on Federal Government agency spending transactions: the financial statements of the U.S. Government Accountability Office, DATA Act spending data, and Office of Management and Budget object class definitions. Students also learn to construct an interactive dashboard to allow uses to routinely discover and investigate agency spending data and to drill down to specific dimensions, such as program activity or object classification, and to specific general ledger ledger accounts used by the Federal Government. This is accomplished by using parameters created in the ETL portion of the case. This case is designed to be flexible so that it can be implemented in any undergraduate or graduate accounting course from government accounting and auditing to data analytics based on the instructor’s preference.


1980 ◽  
Vol 14 (3) ◽  
pp. 383-408 ◽  
Author(s):  
Marta Tienda

The relationship between geographic mobility, kinship ties and social status is examined in this article using data for a sample of 820 Mexican immigrants aged 18–60 who were interviewed upon legal entry to the U.S. in late 1973–74 and reinterviewed three years later. An attempt is made to determine whether and how the maintenance of kinship ties influences the integration of immigrants during the period immediately following emigration.


2019 ◽  
Vol 22 (1) ◽  
pp. 69-78
Author(s):  
Bhoj Raj Ojha

This study is directly related to the semi-strong form of market efficiency. The efficient market hypothesis suggests that stock markets are “informationally efficient”. That is, any new information relevant to the market is spontaneously reflected in the stock prices. A consequence of this hypothesis is that past prices cannot have any predictive power for future prices once the current prices have been used as an explanatory variable. In other words the change in future prices depends only on arrival of new information that was unpredictable today hence it is based on surprise information. It examines the relationship between fiscal policy and stock index in Nepal with using data from 2003 to 2019. This research use market model to determine the statistical relationship. Overall the independent variable government policy poses significant relationship with stock index in Nepal.


2019 ◽  
Vol 109 (5) ◽  
pp. 1684-1716 ◽  
Author(s):  
Martin B. Hackmann

This paper develops a model of the nursing home industry to investigate the quality effects of policies that either raise regulated reimbursement rates or increase local competition. Using data from Pennsylvania, I estimate the parameters of the model. The findings indicate that nursing homes increase the quality of care, measured by the number of skilled nurses per resident, by 8.7 percent following a universal 10 percent increase in Medicaid reimbursement rates. In contrast, I find that pro-competitive policies lead to only small increases in skilled nurse staffing ratios, suggesting that Medicaid increases are more cost effective in raising the quality of care. (JEL I11, I13, I18, I38, J14, L13)


2020 ◽  
Vol 8 (6) ◽  
pp. 23
Author(s):  
William P. O’Hare

Metrics related to the U.S. Census have been widely available for several decades but there has been a dearth of studies examining the relationship among key metrics in the Census. This paper provides empirical evidence about the link between self-participation rates and census accuracy using data from the 1990, 2000, and 2010 U.S Censuses. The preponderance of the evidence shows lower self-participation rates are highly correlated with higher net undercounts and omissions rates for key socio-demographic groups and states. Nine out of 11 correlations examined in this paper are statistically significant and in the predicted direction. One key reason self-participation rates are associated with census accuracy is the fact that the population not captured in the self-participation operation goes into the households for the Nonresponse Followup (NRFU) operation. Census Bureau data show data collected in NRFU is not as accurate as that collected in self-response. The larger the share of data collected for a population that is collected in NFRU, the lower the quality of data for that group. The connection between self-participation rates and census accuracy mean the differential self-participation rates seen in the 2020 Census suggest patterns of net Census undercounts seen in the past are likely to be seen in the 2020 Census.


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