Pub Date : 2022-05-25DOI: 10.1007/s41996-022-00102-y
Shinae L. Choi, E. Harrell, Kimberly Watkins
{"title":"The Impact of the COVID-19 Pandemic on Business Ownership Across Racial/Ethnic Groups and Gender","authors":"Shinae L. Choi, E. Harrell, Kimberly Watkins","doi":"10.1007/s41996-022-00102-y","DOIUrl":"https://doi.org/10.1007/s41996-022-00102-y","url":null,"abstract":"","PeriodicalId":73719,"journal":{"name":"Journal of economics, race, and policy","volume":"15 1","pages":"307 - 317"},"PeriodicalIF":0.0,"publicationDate":"2022-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76826729","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-05-16DOI: 10.1007/s41996-021-00092-3
T. Roach, J. Maisch, J. Oller
{"title":"“Frackers” of the Flower Moon: How Oil and Gas Production Has Affected Indigenous Labor Outcomes","authors":"T. Roach, J. Maisch, J. Oller","doi":"10.1007/s41996-021-00092-3","DOIUrl":"https://doi.org/10.1007/s41996-021-00092-3","url":null,"abstract":"","PeriodicalId":73719,"journal":{"name":"Journal of economics, race, and policy","volume":"5 1","pages":"151 - 166"},"PeriodicalIF":0.0,"publicationDate":"2022-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79188952","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-05-12DOI: 10.1007/s41996-022-00099-4
M. Rahul, Deepika Srivastava
{"title":"The Gender Pay Gap Among Indian Software Developers","authors":"M. Rahul, Deepika Srivastava","doi":"10.1007/s41996-022-00099-4","DOIUrl":"https://doi.org/10.1007/s41996-022-00099-4","url":null,"abstract":"","PeriodicalId":73719,"journal":{"name":"Journal of economics, race, and policy","volume":"18 1","pages":"283 - 306"},"PeriodicalIF":0.0,"publicationDate":"2022-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81914783","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-04-29DOI: 10.1007/s41996-022-00101-z
Kimberly R. Huyser, Sofia Locklear
{"title":"Examining the Association Between Veteran Status and Socioeconomic Status Among American Indian and Alaska Native Men in the USA","authors":"Kimberly R. Huyser, Sofia Locklear","doi":"10.1007/s41996-022-00101-z","DOIUrl":"https://doi.org/10.1007/s41996-022-00101-z","url":null,"abstract":"","PeriodicalId":73719,"journal":{"name":"Journal of economics, race, and policy","volume":"38 1","pages":"167 - 180"},"PeriodicalIF":0.0,"publicationDate":"2022-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89625110","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-03-08DOI: 10.1007/s41996-022-00097-6
Rob Gillezeau, Drake T. Rushford, D. Weaver
{"title":"Policing and Indigenous Civilian Deaths in Canada","authors":"Rob Gillezeau, Drake T. Rushford, D. Weaver","doi":"10.1007/s41996-022-00097-6","DOIUrl":"https://doi.org/10.1007/s41996-022-00097-6","url":null,"abstract":"","PeriodicalId":73719,"journal":{"name":"Journal of economics, race, and policy","volume":"139 1","pages":"210 - 239"},"PeriodicalIF":0.0,"publicationDate":"2022-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78744037","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-01-14DOI: 10.1007/s41996-021-00094-1
K. Mintah, Rejoice E. A. Churchill, K. Baako, Godwin Kavaarpuo
{"title":"Self-rated Health and Housing among Indigenous Australians","authors":"K. Mintah, Rejoice E. A. Churchill, K. Baako, Godwin Kavaarpuo","doi":"10.1007/s41996-021-00094-1","DOIUrl":"https://doi.org/10.1007/s41996-021-00094-1","url":null,"abstract":"","PeriodicalId":73719,"journal":{"name":"Journal of economics, race, and policy","volume":"60 1","pages":"181 - 193"},"PeriodicalIF":0.0,"publicationDate":"2022-01-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80185876","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-01-07DOI: 10.1007/s41996-021-00093-2
Shatakshee Dhongde, Xiaoyu Dong
{"title":"Analyzing Racial and Ethnic Differences in the USA through the Lens of Multidimensional Poverty","authors":"Shatakshee Dhongde, Xiaoyu Dong","doi":"10.1007/s41996-021-00093-2","DOIUrl":"https://doi.org/10.1007/s41996-021-00093-2","url":null,"abstract":"","PeriodicalId":73719,"journal":{"name":"Journal of economics, race, and policy","volume":"39 1 1","pages":"252 - 266"},"PeriodicalIF":0.0,"publicationDate":"2022-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82830057","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-01-01DOI: 10.1007/s41996-021-00095-0
Marina Mileo Gorzig, D L Feir, Randall Akee, Samuel Myers, Marium Navid, Kai Tiede, Olivia Matzke
There are persistent disparities in mortality rates between Native Americans and other groups in the USA. Public-use mortality data severely limits the ability of researchers to examine contextual factors that might explain these disparities. Using restricted-use mortality microdata, we examine the relationship between geographic location, specific causes of death, and age at death. We show that Native American women, on average, die 13 years earlier than White women; Native American men, on average, die 12 years earlier than White men. These disparities are largest in the northern Great Plains and Rocky Mountain states. The disparity in age at death is in part due to Native Americans dying from diseases at younger ages than White Americans. Native American women and men die younger and more often from homicide in counties with persistently higher White male to female ratios. Native American men also die younger and more often from homicide when White male to female ratios increase within their county over time.
Supplementary information: The online version contains supplementary material available at 10.1007/s41996-021-00095-0.
{"title":"Native American Age at Death in the USA.","authors":"Marina Mileo Gorzig, D L Feir, Randall Akee, Samuel Myers, Marium Navid, Kai Tiede, Olivia Matzke","doi":"10.1007/s41996-021-00095-0","DOIUrl":"https://doi.org/10.1007/s41996-021-00095-0","url":null,"abstract":"<p><p>There are persistent disparities in mortality rates between Native Americans and other groups in the USA. Public-use mortality data severely limits the ability of researchers to examine contextual factors that might explain these disparities. Using restricted-use mortality microdata, we examine the relationship between geographic location, specific causes of death, and age at death. We show that Native American women, on average, die 13 years earlier than White women; Native American men, on average, die 12 years earlier than White men. These disparities are largest in the northern Great Plains and Rocky Mountain states. The disparity in age at death is in part due to Native Americans dying from diseases at younger ages than White Americans. Native American women and men die younger and more often from homicide in counties with persistently higher White male to female ratios. Native American men also die younger and more often from homicide when White male to female ratios increase within their county over time.</p><p><strong>Supplementary information: </strong>The online version contains supplementary material available at 10.1007/s41996-021-00095-0.</p>","PeriodicalId":73719,"journal":{"name":"Journal of economics, race, and policy","volume":"5 3","pages":"194-209"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8894124/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10598337","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-01-01Epub Date: 2022-07-12DOI: 10.1007/s41996-022-00105-9
Sefa Awaworyi Churchill, Samuelson Appau
{"title":"Introduction to the Special Issue: Socioeconomic Outcomes of Indigenous Groups - Determinants and Trends.","authors":"Sefa Awaworyi Churchill, Samuelson Appau","doi":"10.1007/s41996-022-00105-9","DOIUrl":"https://doi.org/10.1007/s41996-022-00105-9","url":null,"abstract":"","PeriodicalId":73719,"journal":{"name":"Journal of economics, race, and policy","volume":" ","pages":"149-150"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9273917/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"40514910","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-01-01Epub Date: 2022-03-22DOI: 10.1007/s41996-022-00098-5
Tongtan Chantarat, Eva A Enns, Rachel R Hardeman, Patricia M McGovern, Samuel L Myers, Janette Dill
In the United States (US), Black-particularly Black female-healthcare workers are more likely to hold occupations with high job demand, low job control with limited support from supervisors or coworkers and are more vulnerable to job loss than their white counterparts. These work-related factors increase the risk of hypertension. This study examines the extent to which occupational segregation explains the persistent racial inequity in hypertension in the healthcare workforce and the potential health impact of workforce desegregation policies. We simulated a US healthcare workforce with four occupational classes: health diagnosing professionals (i.e., highest status), health treating professionals, healthcare technicians, and healthcare aides (i.e., lowest status). We simulated occupational segregation by allocating 25-year-old workers to occupational classes with the race- and gender-specific probabilities estimated from the American Community Survey data. Our model used occupational class attributes and workers' health behaviors to predict hypertension over a 40-year career. We tracked the hypertension prevalence and the Black-white prevalence gap among the simulated workers under the staus quo condition (occupational segregation) and the experimental conditions in which occupational segregation was eliminated. We found that the Black-white hypertension prevalence gap became approximately one percentage point smaller in the experimental than in the status quo conditions. These findings suggest that policies designed to desegregate the healthcare workforce may reduce racial health inequities in this population. Our microsimulation may be used in future research to compare various desegregation policies as they may affect workers' health differently.
Supplementary information: The online version contains supplementary material available at 10.1007/s41996-022-00098-5.
{"title":"Occupational Segregation And Hypertension Inequity: The Implication Of The Inverse Hazard Law Among Healthcare Workers.","authors":"Tongtan Chantarat, Eva A Enns, Rachel R Hardeman, Patricia M McGovern, Samuel L Myers, Janette Dill","doi":"10.1007/s41996-022-00098-5","DOIUrl":"10.1007/s41996-022-00098-5","url":null,"abstract":"<p><p>In the United States (US), Black-particularly Black female-healthcare workers are more likely to hold occupations with high job demand, low job control with limited support from supervisors or coworkers and are more vulnerable to job loss than their white counterparts. These work-related factors increase the risk of hypertension. This study examines the extent to which occupational segregation explains the persistent racial inequity in hypertension in the healthcare workforce and the potential health impact of workforce desegregation policies. We simulated a US healthcare workforce with four occupational classes: health diagnosing professionals (i.e., highest status), health treating professionals, healthcare technicians, and healthcare aides (i.e., lowest status). We simulated occupational segregation by allocating 25-year-old workers to occupational classes with the race- and gender-specific probabilities estimated from the American Community Survey data. Our model used occupational class attributes and workers' health behaviors to predict hypertension over a 40-year career. We tracked the hypertension prevalence and the Black-white prevalence gap among the simulated workers under the staus quo condition (occupational segregation) and the experimental conditions in which occupational segregation was eliminated. We found that the Black-white hypertension prevalence gap became approximately one percentage point smaller in the experimental than in the status quo conditions. These findings suggest that policies designed to desegregate the healthcare workforce may reduce racial health inequities in this population. Our microsimulation may be used in future research to compare various desegregation policies as they may affect workers' health differently.</p><p><strong>Supplementary information: </strong>The online version contains supplementary material available at 10.1007/s41996-022-00098-5.</p>","PeriodicalId":73719,"journal":{"name":"Journal of economics, race, and policy","volume":"5 4","pages":"267-282"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8938730/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10484967","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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