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Item Analysis of COVID-19 Case Demographics and Disease Outcomes in Gary, Indiana(MDPI, 2023-09-07) Sabir, Maryam; Al-Tarshan, Yazan; Snapp, Cameron; Brown, Martin; Walker, Roland; Han, Amy; Kostrominova, TatianaBackground: The COVID-19 pandemic further exposed the prevalence of existing health disparities in Black communities in the U.S. The current study evaluates COVID-19 data collected in Gary, Indiana, from June 2020 to June 2021. We hypothesized that the number of COVID-19 cases, hospitalizations, and deaths were influenced by race and income. Methods: In collaboration with the Gary Health Department (GHD), we analyzed demographic data on COVID-19-positive cases. Results: Compared to Gary's non-Black population, age- and population-adjusted rates of hospitalizations and deaths in the Black population were 3-fold (p < 0.0001) and 2-fold (p < 0.05) higher, respectively. This is despite a higher infection rate (p < 0.0001) in the non-Black population. The median household income of a zip code was negatively correlated with COVID-19 hospitalizations (R2 = 0.6345, p = 0.03), but did not correlate with infections and deaths. Conclusions: The current study demonstrates clear health disparities of income and race in the context of COVID-19-related infections and outcomes in the city of Gary. Indiana University School of Medicine Northwest and GHD officials can collaborate to utilize these data for the reallocation of resources and health education efforts in Gary's highly populated, low-income, and predominantly Black neighborhoods. It should also prompt further investigation into national health resource allocation.Item Changes in Income Inequality Under Democratic and Republican Governors(2015-12) Wolf, Jake Alexander; McCormick, John; Dusso, Aaron Philip; Friesen, Amanda JoI examined a panel of all 50 states over a period of 30 years between 1981 and 2010, estimating a random effects model to examine the relationship between the party of a state’s governor and changes in pretax and transfer income inequality. Though the literature has quite consistently shown that income inequality increases more quickly under Republican governors or when policies favored by Republicans are implemented, I find no evidence to support this, though this is perhaps because I did not allow a long enough lag time for new policies to have an effect. I did, however, find that pretax income inequality increases more quickly under Democratic presidents than under Republicans, in spite of the fact that all previous research shows the opposite to be true. I suspect that this unusual finding is the result of a quirk in my 1981-2010 time frame, namely the effects of the shift in welfare policy under the Clinton administration in the 1990s.Item Flood Risk Management: Exploring the Impacts of the Community Rating System Program on Poverty and Income Inequality(2017) Noonan, Douglas S.; Sadiq, Abdul-Akeem A.Flooding remains a major problem for the United States, causing numerous deaths and damaging countless properties. To reduce the impact of flooding on communities, the U.S. government established the Community Rating System (CRS) in 1990 to reduce flood damages by incentivizing communities to engage in flood risk management initiatives that surpass those required by the National Flood Insurance Program. In return, communities enjoy discounted flood insurance premiums. Despite the fact that the CRS raises concerns about the potential for unevenly distributed impacts across different income groups, no study has examined the equity implications of the CRS. This study thus investigates the possibility of unintended consequences of the CRS by answering the question: What is the effect of the CRS on poverty and income inequality? Understanding the impacts of the CRS on poverty and income inequality is useful in fully assessing the unintended consequences of the CRS. The study estimates four fixed-effects regression models using a panel data set of neighborhood-level observations from 1970 to 2010. The results indicate that median incomes are lower in CRS communities, but rise in floodplains. Also, the CRS attracts poor residents, but relocates them away from floodplains. Additionally, the CRS attracts top earners, including in floodplains. Finally, the CRS encourages income inequality, but discourages income inequality in floodplains. A better understanding of these unintended consequences of the CRS on poverty and income inequality can help to improve the design and performance of the CRS and, ultimately, increase community resilience to flood disasters.Item Intra and Inter-Neighborhood Income Inequality and Crime(2015-01) Stucky, Thomas D.; Payton, Seth B.; Ottensmann, John R.One important factor in many macro-level theories of crime is income inequality. Although research generally shows that low levels of neighborhood income are associated with crime, research studies have been less clear on whether income inequality is a robust, independent predictor of crime, particularly in small area studies, and few studies have explicitly considered income inequality between neighborhoods, and those that do typically focus on homicide. The current study examines whether within and between neighborhood income inequality is associated with variation in violent and property crime. We employ geocoded Uniform Crime Report data from the Indianapolis police department and economic and demographic characteristics of the population from the American Community Survey for 2005–2009. Consistent with prior research, lower levels of income were associated with higher violent and property crime counts. Within-tract income inequality was also associated with higher Uniform Crime Reports violent and property crimes in most models. Results also showed that the ratio of tract income levels to neighboring tracts is associated with variation in crime. Thus, both local and nearby income inequality affect crime. Implications for theory and policy are discussed.