scholarly journals Black Populations and Economic Growth: An Extreme Bounds Analysis of Mississippi County-Level Data

2007 ◽  
Author(s):  
Andrew T. Young ◽  
Matthew John Higgins ◽  
Daniel Levy
Keyword(s):  
Economic Growth ◽  
County Level ◽  
Extreme Bounds Analysis ◽  
Level Data ◽  
Black Populations

scholarly journals Social Capital and Economic Growth: A County-Level Analysis

2000 ◽  
Vol 32 (3) ◽  
pp. 565-572 ◽  
Author(s):  
Anil Rupasingha ◽  
Stephan J. Goetz ◽  
David Freshwater
Keyword(s):  
Economic Growth ◽  
Social Capital ◽  
Linear Regression Analysis ◽  
Income Growth ◽  
County Level ◽  
Level Data ◽  
Per Capita ◽  
Capita Income Growth ◽  
Positive Effect ◽  
Level Analysis

AbstractThe effect of social capital on economic growth is examined using linear regression analysis and U.S. county-level data. Results reveal that social capital has a statistically significant, independent positive effect on the rate of per-capita income growth.

scholarly journals Timing of social distancing policies and COVID-19 mortality: county-level evidence from the U.S.

2021 ◽  
Author(s):  
Catalina Amuedo-Dorantes ◽  
Neeraj Kaushal ◽  
Ashley N. Muchow
Keyword(s):  
New York ◽  
Political Ideology ◽  
Death Rate ◽  
The United States ◽  
County Level ◽  
Level Data ◽  
Level Information ◽  
Alternative Measures ◽  
The U.S ◽  
Pharmaceutical Interventions

AbstractUsing county-level data on COVID-19 mortality and infections, along with county-level information on the adoption of non-pharmaceutical interventions (NPIs), we examine how the speed of NPI adoption affected COVID-19 mortality in the United States. Our estimates suggest that adopting safer-at-home orders or non-essential business closures 1 day before infections double can curtail the COVID-19 death rate by 1.9%. This finding proves robust to alternative measures of NPI adoption speed, model specifications that control for testing, other NPIs, and mobility and across various samples (national, the Northeast, excluding New York, and excluding the Northeast). We also find that the adoption speed of NPIs is associated with lower infections and is unrelated to non-COVID deaths, suggesting these measures slowed contagion. Finally, NPI adoption speed appears to have been less effective in Republican counties, suggesting that political ideology might have compromised their efficacy.

Abstract P636: Social Determinants of Stroke Hospitalization and Mortality in the United States

Stroke ◽  
2021 ◽  
Vol 52 (Suppl_1) ◽  
Author(s):  
Randhir Sagar Yadav ◽  
Durgesh Chaudhary ◽  
Shima Shahjouei ◽  
Jiang Li ◽  
Vida Abedi ◽  
...  
Keyword(s):  
United States ◽  
Income Inequality ◽  
Social Determinants ◽  
Hemorrhagic Stroke ◽  
The United States ◽  
Care Physician ◽  
County Level ◽  
Medicare Beneficiaries ◽  
Level Data ◽  
Control And Prevention

Introduction: Stroke hospitalization and mortality are influenced by various social determinants. This ecological study aimed to determine the associations between social determinants and stroke hospitalization and outcome at county-level in the United States. Methods: County-level data were recorded from the Centers for Disease Control and Prevention as of January 7, 2020. We considered four outcomes: all-age (1) Ischemic and (2) Hemorrhagic stroke Death rates per 100,000 individuals (ID and HD respectively), and (3) Ischemic and (4) Hemorrhagic stroke Hospitalization rate per 1,000 Medicare beneficiaries (IH and HH respectively). Results: Data of 3,225 counties showed IH (12.5 ± 3.4) and ID (22.2 ± 5.1) were more frequent than HH (2.0 ± 0.4) and HD (9.8 ± 2.1). Income inequality as expressed by Gini Index was found to be 44.6% ± 3.6% and unemployment rate was 4.3% ± 1.5%. Only 29.8% of the counties had at least one hospital with neurological services. The uninsured rate was 11.0% ± 4.7% and people living within half a mile of a park was only 18.7% ± 17.6%. Age-adjusted obesity rate was 32.0% ± 4.5%. In regression models, age-adjusted obesity (OR for IH: 1.11; HH: 1.04) and number of hospitals with neurological services (IH: 1.40; HH: 1.50) showed an association with IH and HH. Age-adjusted obesity (ID: 1.16; HD: 1.11), unemployment (ID: 1.21; HD: 1.18) and income inequality (ID: 1.09; HD: 1.11) showed an association with ID and HD. Park access showed inverse associations with all four outcomes. Additionally, population per primary-care physician was associated with HH while number of pharmacy and uninsured rate were associated with ID. All associations and OR had p ≤0.04. Conclusion: Unemployment and income inequality are significantly associated with increased stroke mortality rates.

scholarly journals Harnessing Agricultural Potentials for Economic Growth in North Carolina

2013 ◽  
Vol 2 (2) ◽  
pp. 142 ◽  
Author(s):  
Janaranjana Herath ◽  
David Hill
Keyword(s):  
Economic Growth ◽  
North Carolina ◽  
Work Force ◽  
Census Bureau ◽  
Agricultural Activities ◽  
Income Levels ◽  
Rural Counties ◽  
Level Data ◽  
Education And Employment ◽  
Bureau Of Labor Statistics

Agriculture in North Carolina contributes to 19 percent of the state’s income and employs over 20 percent of the work force. Agricultural activities are significant in rural counties and nearly 30 percent of the total population of North Carolina lives in 85 rural counties. Individuals in these rural counties have less income, education, and employment opportunities eventually in high poverty and unemployment rates. The objective of this study is to examine the potential use of agriculture in economic growth of North Carolina using county level data. Data were gathered from U.S. Bureau of Labor Statistics, U.S. Department of Agriculture, and U.S. Census Bureau for the period of 2000 to 2010. A system of simultaneous equations is used for the analysis. Results highlight that increasing income increases agricultural activities and vise versa. Thus, the counties with high household income levels are more capable of incorporating agriculture in economic growth while the counties with significant agricultural activities are more competent of improving income levels. Overall, results conclude the importance of secured satisfactory level of income through agriculture to enhance economic growth.

scholarly journals Habit Formation in Voting: Evidence from Rainy Elections

2016 ◽  
Vol 8 (4) ◽  
pp. 160-188 ◽  
Author(s):  
Thomas Fujiwara ◽  
Kyle Meng ◽  
Tom Vogl
Keyword(s):  
Voter Turnout ◽  
Presidential Elections ◽  
Habit Formation ◽  
County Level ◽  
Level Data ◽  
Social Spillovers ◽  
Consumption Value

We estimate habit formation in voting—the effect of past on current turnout—by exploiting transitory voting cost shocks. Using county-level data on US presidential elections from 1952–2012, we find that rainfall on current and past election days reduces voter turnout. Our estimates imply that a 1-point decrease in past turnout lowers current turnout by 0.6–1.0 points. Further analyses suggest that habit formation operates by reinforcing the direct consumption value of voting and that our estimates may be amplified by social spillovers. (JEL D72, D83, N42)

Occupational Segregation, Teachers' Wages, and American Economic Growth

1986 ◽  
Vol 46 (2) ◽  
pp. 373-383 ◽  
Author(s):  
Susan B. Carter
Keyword(s):  
Economic Growth ◽  
Nineteenth Century ◽  
Young Women ◽  
Teaching Profession ◽  
Educational Services ◽  
Individual Level ◽  
Nineteenth Century America ◽  
Level Data ◽  
The World ◽  
Teacher Wages

National, state, and individual-level data are used to explore the implications of the crowding of educated women into the teaching profession in nineteenth-century America. It is found that the more young women attended school, the lower were teacher wages and the price of educational services. Through this mechanism young women paid for their own education and, by lowering the price of educational services, helped America develop the best-educated population in the world by the century's end.

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