scholarly journals Abortion Facility Closings and Abortion Rates in Texas

2017 ◽  
Vol 54 ◽  
pp. 004695801770094 ◽  
Author(s):  
Troy Quast ◽  
Fidel Gonzalez ◽  
Robert Ziemba
Keyword(s):  
State Level ◽  
Abortion Rate ◽  
County Level ◽  
Us States ◽  
Differential Effects ◽  
Level Data ◽  
Race Ethnicity ◽  
The Relationship ◽  
Linear Regressions ◽  
Abortion Clinics

From 2004 to 2014, the overall abortion rate in Texas fell by almost a third from 10.7 to 7.2 abortions per 1000 women aged 10 to 49 years. During this same period, the number of abortion clinics operating at least 6 months in the year fell from 40 to 27. We examined the relationship between the abortion rate and the proximity of abortion facilities. We matched annual, county-level data on abortion rates in Texas from 2004 through 2014 with the distance from the county centroids to the nearest abortion facility in operation. Linear regressions were used to estimate the association between abortion rates and proximity to abortion facilities. The regressions controlled for county-level and state-level characteristics as well as the availability of abortion services in neighboring US states and Mexico. We found that a 100-mile increase in distance to the nearest abortion facility was associated with a 10% decrease in the overall abortion rate. The relationship appeared to be driven largely by distances of 200 miles or more. The overall relationship was generally present for whites and blacks, whereas the pattern was less clear for Hispanics. The analysis indicated that the overall association was driven largely by women aged 20 to 34 years. Decreased access to abortion facilities was associated with decreases in the abortion rate, yet the relationship varied by race/ethnicity and age. As such, regulations that affect the operational status of abortion facilities likely have differential effects on women.

Corruption and inflation: evidence from US states

2019 ◽  
Vol 11 (2) ◽  
pp. 251-262
Author(s):  
Hussein Elkamel
Keyword(s):  
Multiple Regression ◽  
Design Methodology ◽  
State Level ◽  
Content Type ◽  
Us States ◽  
Level Data ◽  
The Us ◽  
Regression Techniques ◽  
Cross Country ◽  
The Relationship

Purpose The purpose of this paper is to show that states where corruption is greater also have higher levels of inflation. Design/methodology/approach Using a sample of all US states through the period 1992-2007 and various factors common across states that could impact the level of corruption or inflation, multiple regression techniques are used to determine corruption impact to inflation. Findings The study finds that corruption contributes, along with aid transfer, positively to inflation in the US states. The results are robust even after scaling the corruption variable to different determinants. Originality/value While there is some evidence on the relationship between corruption and inflation in cross-country dataset, there is no such evidence on it within country dataset. This paper, however, provides evidence on the relationship between corruption and inflation using state-level data of the US states.

State-Level Sexism and Women’s Health Care Access in the United States: Differences by Race/Ethnicity, 2014–2019

2021 ◽  
pp. e1-e10
Author(s):  
Kristen Schorpp Rapp ◽  
Vanessa V. Volpe ◽  
Hannah Neukrug
Keyword(s):  
Health Care ◽  
Health Care Access ◽  
Hispanic Women ◽  
State Level ◽  
The United States ◽  
Barriers To Health Care ◽  
Care Access ◽  
Race Ethnicity ◽  
The Relationship ◽  
Barriers To Health

Objectives. To quantify racial/ethnic differences in the relationship between state-level sexism and barriers to health care access among non-Hispanic White, non-Hispanic Black, and Hispanic women in the United States. Methods. We merged a multidimensional state-level sexism index compiled from administrative data with the national Consumer Survey of Health Care Access (2014–2019; n = 10 898) to test associations between exposure to state-level sexism and barriers to access, availability, and affordability of health care. Results. Greater exposure to state-level sexism was associated with more barriers to health care access among non-Hispanic Black and Hispanic women, but not non-Hispanic White women. Affordability barriers (cost of medical bills, health insurance, prescriptions, and tests) appeared to drive these associations. More frequent need for care exacerbated the relationship between state-level sexism and barriers to care for Hispanic women. Conclusions. The relationship between state-level sexism and women’s barriers to health care access differs by race/ethnicity and frequency of needing care. Public Health Implications. State-level policies may be used strategically to promote health care equity at the intersection of gender and race/ethnicity. (Am J Public Health. Published online ahead of print September 2, 2021: e1–e10. https://doi.org/10.2105/AJPH.2021.306455 )

scholarly journals Output and pollution abatement in a U.S. state emission function

2019 ◽  
Vol 25 (1) ◽  
pp. 44-65 ◽  
Author(s):  
Neophyta Empora ◽  
Theofanis P. Mamuneas ◽  
Thanasis Stengos
Keyword(s):  
Environmental Kuznets Curve ◽  
Policy Making ◽  
Driving Forces ◽  
Pollution Abatement ◽  
State Level ◽  
Kuznets Curve ◽  
Nonlinear Relationship ◽  
Level Data ◽  
The Relationship ◽  
Emission Function

AbstractUsing U.S. state-level data for the period 1973–1994, this study models the relationship between emissions, output and pollution abatement by defining an emissions function, in a manner that is consistent with the residual (emissions) generation mechanism and firms' optimizing behavior. It thus accounts for factors that were previously unaccounted for or addressed only individually. Applications using this comprehensive setting can offer more informed insights for policy-making, something that is particularly useful for developing countries that face the environmental degradation that comes together with the benefits of economic growth. Using nonparametric econometric techniques as well as threshold regression, the empirical results show that there is a positive nonlinear relationship between emissions and output, rejecting an inverted-U type of relationship between the two (the Environmental Kuznets Curve, or EKC). In the absence of abatement the relationship turns around, verifying the arguments in the literature that abatement is one of the driving forces for an EKC to emerge.

scholarly journals The evolution of infant mortality inequality in the United States, 1960–2016

2020 ◽  
Vol 6 (29) ◽  
pp. eaba5908
Author(s):  
Nick Turner ◽  
Kaveh Danesh ◽  
Kelsey Moran
Keyword(s):  
United States ◽  
Infant Mortality ◽  
The United States ◽  
Mortality Rates ◽  
County Level ◽  
Level Data ◽  
Antipoverty Programs ◽  
The Relationship ◽  
Over Time ◽  
Mortality Inequality

What is the relationship between infant mortality and poverty in the United States and how has it changed over time? We address this question by analyzing county-level data between 1960 and 2016. Our estimates suggest that level differences in mortality rates between the poorest and least poor counties decreased meaningfully between 1960 and 2000. Nearly three-quarters of the decrease occurred between 1960 and 1980, coincident with the introduction of antipoverty programs and improvements in medical care for infants. We estimate that declining inequality accounts for 18% of the national reduction in infant mortality between 1960 and 2000. However, we also find that level differences between the poorest and least poor counties remained constant between 2000 and 2016, suggesting an important role for policies that improve the health of infants in poor areas.

scholarly journals Does Road Investment Really Promote the Export? Evidence from Sichuan County-level Data of China

2018 ◽  
Vol 10 (2) ◽  
pp. 197
Author(s):  
Lihe Xu ◽  
Jiaqi Liu ◽  
Xiaoshan Yan
Keyword(s):  
Capital Investment ◽  
Service Sector ◽  
Manufacturing Sector ◽  
Private Capital ◽  
County Level ◽  
Road Infrastructure ◽  
The Road ◽  
Level Data ◽  
Tradable Sector ◽  
The Relationship

Whether road infrastructure promotes export is still a concerned issue debated in the previous studies. In this paper, we conduct a panel data using two data sources from year 2003 to 2013, examining the relationship between road investment and export. The primary results show that road investment significantly restricts local export. A further test indicates that the road infrastructure benefits service sector, 1) abstract more private capital investment on service sector than manufacturing sector, 2) reduce the employee of tradable sector. Then manufacturing sector was constrained. The results are robust when a set test is carried out.

Distribution and capacity utilization in the United States: evidence from state-level data

2020 ◽  
Vol 8 (2) ◽  
pp. 240-267
Author(s):  
Luke Petach
Keyword(s):  
United States ◽  
Distribution System ◽  
Capacity Utilization ◽  
State Level ◽  
The United States ◽  
Coordination Failure ◽  
Wage Policy ◽  
Us States ◽  
Level Data ◽  
Strategy I

Applying previously unused regional data to the problem of wage- versus profit-led growth, this paper estimates a demand-and-distribution system for a panel of US states for the years 1974 to 2014. Using variation in minimum-wage policy across states as an instrument for the labor share, I find that – at a regional level – the United States is strongly wage-led. In the absence of a satisfactory econometric identification strategy, I estimate the distributive curve non-parametrically. The results suggest the presence of significant non-linearities, with US states exhibiting profit-squeeze dynamics at low levels of capacity utilization and wage-squeeze dynamics at high levels. These results suggest difficulties for wage-led policy akin to a coordination failure.

Growth, Inequality, Poverty, and Urbanization: the Case of India

2019 ◽  
pp. 674-734
Author(s):  
Arup Mitra
Keyword(s):  
Urban Areas ◽  
Rural Poverty ◽  
Participation Rate ◽  
State Level ◽  
Positive Association ◽  
Strongly Correlated ◽  
Urban Inequality ◽  
Level Data ◽  
Degree Of Association ◽  
The Relationship

In this chapter the analysis is pursued at three levels of disaggregation: states, districts, and cities with populations over one million. At the state level, urbanization does not show any significant impact on rural poverty, though it tends to reduce poverty in urban areas. Growth influences urbanization positively, while urbanization and expansion in non-agricultural activities both contribute to economic growth. Although urban inequality is not strongly correlated with urbanization and growth, the relationship is distinct. While poverty tends to decline, inequality rises in the process of growth and urbanization. The district-level data confirm a positive association between urbanization, work participation rate, percentage of workforce engaged in non-household manufacturing and services, literacy, growth, and inequality, though the degree of association is mild. Urbanization shows a strong beneficial effect on poverty at both the district and city levels.

scholarly journals Compensation or Retrenchment? The Paradox of Immigration and Public Welfare Spending in the American States

2016 ◽  
Vol 17 (1) ◽  
pp. 76-104 ◽  
Author(s):  
Ping Xu
Keyword(s):  
Welfare Policy ◽  
State Level ◽  
Public Welfare ◽  
Job Market ◽  
Welfare Spending ◽  
American States ◽  
Level Data ◽  
Show Evidence ◽  
Race Ethnicity ◽  
Empirical Tests

By using American state-level data from 1999 to 2008, this article explores how the recent immigrant influx has influenced public welfare spending in the American states. By integrating the race/ethnicity and globalization compensation theory, I hypothesize that immigration will increase welfare spending in states with a bleak job market and exclusive state immigrant welfare policy; in contrast, immigration will decrease welfare spending in states with a good job market and inclusive state immigrant welfare policy. Empirical tests show evidence for both hypotheses, suggesting that the applicability of general political science theories depends on a combination of state policy and economic contexts.

scholarly journals Assessment and optimization of respiratory syncytial virus prophylaxis in Connecticut, 1996–2013

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Ben Artin ◽  
Virginia E. Pitzer ◽  
Daniel M. Weinberger
Keyword(s):  
Respiratory Syncytial Virus ◽  
High Risk ◽  
Hospital Admissions ◽  
State Level ◽  
County Level ◽  
Hospitalization Rates ◽  
Level Data ◽  
Syncytial Virus ◽  
High Risk Infants ◽  
Current Guidelines

AbstractRespiratory syncytial virus (RSV) causes seasonal respiratory infection, with hospitalization rates of up to 50% in high-risk infants. Palivizumab provides safe and effective, yet costly, immunoprophylaxis. The American Academy of Pediatrics (AAP) recommends palivizumab only for high-risk infants and only during the RSV season. Outside of Florida, the current guidelines do not recommend regional adjustments to the timing of the immunoprophylaxis regimen. Our hypothesis is that adjusting the RSV prophylaxis regimen in Connecticut based on spatial variation in the timing of RSV incidence can reduce the disease burden compared to the current AAP-recommended prophylaxis regimen. We obtained weekly RSV-associated hospital admissions by ZIP-code in Connecticut between July 1996 and June 2013. We estimated the fraction of all Connecticut RSV cases occurring during the period of protection offered by immunoprophylaxis (“preventable fraction”) under the AAP guidelines. We then used the same model to estimate protection conferred by immunoprophylaxis regimens with alternate start dates, but unchanged duration. The fraction of RSV hospitalizations preventable by the AAP guidelines varies by county because of variations in epidemic timing. Prophylaxis regimens adjusted for state- or county-level variation in the timing of RSV seasons are superior to the AAP-recommended regimen. The best alternative strategy yielded a preventable fraction of 95.1% (95% CI 94.7–95.4%), compared to 94.1% (95% CI 93.7–94.5%) for the AAP recommendation. In Connecticut, county-level recommendations would provide only a minimal additional benefit while adding complexity. Initiating RSV prophylaxis based on state-level data may improve protection compared with the AAP recommendations.

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