Measuring the economic consequences of racial discrimination in Australia

 Racial discrimination results in economic inefficiency. This thesis has investigated its impact and estimated, for the first time, the health-related costs attributable to racial discrimination. The study found that the Australian economy incurs substantial loss due to the burden of disease associated with the exposure of minorities to racial discrimination

The regional impact of cultural diversity on wages: evidence from Australia

This paper investigates the impact of cultural diversity on labour market outcomes, particularly on wages across regions using a large longitudinal data. We apply an instrumental variable approach and account for individual and time fixed effects. Our findings indicate that the current level of cultural diversity positively affected current regional weekly wages; however, the positive effect holds only partially when the diversity is lagged. The results appear to be robust in all estimations controlling for heterogeneity factors and accounting for the self-selection of individuals into places with better economic opportunities. Our findings concerning the effect of lagging on the effect of diversity may explain the variation in the literature where some studies report that cultural diversity increases wages across time while others do not

Estimating the mental health costs of racial discrimination

Racial discrimination is a pervasive social problem in several advanced countries such as the U.S., U.K., and Australia. Public health research also indicates a range of associations between exposure to racial discrimination and negative health, particularly, mental health including depression, anxiety, and post-traumatic stress disorder (PTSD). However, the direct negative health impact of racial discrimination has not been costed so far although economists have previously estimated indirect non-health related productivity costs. In this study, we estimate the burden of disease due to exposure to racial discrimination and measure the cost of this exposure. Using prevalence surveys and data on the association of racial discrimination with health outcomes from a global meta-analysis, we apply a cost of illness method to measure the impact of racial discrimination. This estimate indicates the direct health cost attributable to racial discrimination and we convert the estimates to monetary values based on conventional parameters. Racial discrimination costs the Australian economy 235,452 in disability adjusted life years lost, equivalent to $37.9 billion per annum, roughly 3.02% of annual gross domestic product (GDP) over 2001-11, indicating a sizeable loss for the economy. Substantial cost is incurred due to increased prevalence of racial discrimination as a result of its association with negative health outcomes (e.g. depression, anxiety and PTSD). This implies that potentially significant cost savings can be made through measures that target racial discrimination. Our research contributes to the debate on the social impact of racial discrimination, with implications for policies and efforts addressing it

Countering Islamophobia in the Victorian Population

Islamophobia underpins extremist verbal and physical attacks on Muslim communities. It has become widespread in Australian society, and normalised in everyday settings such as in mainstream media. There is general agreement among Australian researchers and community representatives that the concept of Islamophobia is a useful tool for understanding and developing ways to challenge anti-Islam attitudes. However, despite it becoming widespread, Islamophobia should not be treated as a singular problem as it takes many different forms (see Peucker and Smith 2019), which require targeted responses. This brief provides contemporary empirical insights into the extent of Islamophobia in Victoria, and how it is manifest, in order to help develop policy responses. In November 2019, we undertook an online representative survey of 4019 Victorians to examine Islamophobia in Australia. We asked questions about respondents’ attitudes towards cultural diversity, racial equality and privilege; trust and fairness; Muslims and Islam; and other ethno-cultural groups in Australian society; their experiences of racism and discrimination; their contact with Muslims and knowledge of Islam; their trust of institutions; political affiliation; and support for extreme politics (e.g., violence, non-democratic governance). To our knowledge, this was the largest representative survey undertaken in Victoria with the purpose of measuring Victorians’ perceptions of and attitudes towards Muslims and Islam. Based on respondents’ answers, we used latent class analysis to reveal groups in the Victorian population. Latent class analysis is an advanced statistical method that identifies related sets of responses in a dataset that may be hidden even from trained observers (Hagenaars and McCutcheon 2002; Uebersax 1993; Heinen 1996)

Economic evaluation of Health Extension Program packages in Ethiopia

Background Ethiopia launched the Health Extension Program (HEP) in 2004, aimed at ensuring equitable community-level healthcare services through Health Extension Workers. Despite the program’s being a flagship initiative, there is limited evidence on whether investment in the program represents good value for money. This study assessed the cost and cost-effectiveness of HEP interventions to inform policy decisions for resource allocation and priority setting in Ethiopia. Methods Twenty-one health care interventions were selected under the hygiene and sanitation, family health services, and disease prevention and control sub-domains. The ingredient bottom-up and top-down costing method was employed. Cost and cost-effectiveness were assessed from the provider perspective. Health outcomes were measured using life years gained (LYG). Incremental cost per LYG in relation to the gross domestic product (GDP) per capita of Ethiopia (US$852.80) was used to ascertain the cost-effectiveness. All costs were collected in Ethiopian birr and converted to United States dollars (US$) using the average exchange rate for 2018 (US$1 = 27.67 birr). Both costs and health outcomes were discounted by 3 Result The average unit cost of providing selected hygiene and sanitation, family health, and disease prevention and control services with the HEP was US$0.70, US$4.90, and US$7.40, respectively. The major cost driver was drugs and supplies, accounting for 53% and 68%, respectively, of the total cost. The average annual cost of delivering all the selected interventions was US$9,897. All interventions fall within 1 times GDP per capita per LYG, indicating that they are very cost-effective (ranges: US$22–$295 per LYG). Overall, the HEP is cost-effective by investing US$77.40 for every LYG. Conclusion The unit cost estimates of HEP interventions are crucial for priority-setting, resource mobilization, and program planning. This study found that the program is very cost-effective in delivering community health services.publishedVersio

Understanding Varied Attitudes Towards Muslims

The focus of this research was to determine the prevalence and type of Islamophobia in the Victorian population. Islamophobia sentiment feeds the actions of right-wing extremist attacks on Muslim communities. But it has also become widespread in Australian society, and normalised in everyday settings, such as our mainstream media. Islamophobia cannot be treated with a singular approach or mode of intervention. Our study comes at a critical time; it provides empirical evidence on the extent of the problem, as well as documenting the varied manifestations of Islamophobic sentiment, with the view to developing potential action points and policy. In November 2019 we undertook a survey of 4019 Victorians. We asked questions on their attitudes towards cultural diversity, racial equality and privilege; trust and fairness; Muslims and Islam; and other ethno-cultural groups in Australian society; their experiences of racism and discrimination; their contact with Muslims and knowledge of Islam; and their political affiliation. To our knowledge, this was the largest survey undertaken in Victoria with the purpose of solely measuring Victorians perceptions of Muslims and Islam. Based on respondents’ answers, we used latent class analysis to segment the Victorian population. Five groups were generated: Islamophobic, Islamophobic with assimilationist tendencies, Undecided, Progressive with concerns about Islam, and Progressive. We then distilled the demographic and attitudinal attributes of these groups, with the view to identifying roles and drivers to help guide policy and intervention. We tested this five group segmentation with community organisations in Victoria working in the broad areas of diversity and multiculturalism, and with a particular emphasis on Muslim and non-Muslim relations. The groupings made sense on-the-ground, and they provided a strong pathway forward for program and policy design

Racism in Australia : a protocol for a systematic review and meta-analysis

Background: Racism has been identified as a major source of injustice and a health burden in Australia and across the world. Despite the surge in Australian quantitative research on the topic, and the increasing recognition of the prevalence and impact of racism in Australian society, the collective evidence base has yet to be comprehensively reviewed or meta-analysed. This protocol describes the first systematic review and meta-analysis of racism in Australia at the national level, focussing on quantitative studies. The current study will considerably improve our understanding of racism, including its manifestations and fluctuation over time, variation across settings and between groups, and associations with health and socio-economic outcomes. Methods: The research will consist of a systematic literature review and meta-analysis. Searches for relevant studies will focus on the social and health science databases CINAHL, PsycINFO, PubMed and Scopus. Two reviewers will independently screen eligible papers for inclusion and extract data from included studies. Studies will be included in the review and meta-analysis where they meet the following criteria: (1) report quantitative empirical research on self-reported racism in Australia, (2) report data on the prevalence of racism, or its association with health (e.g. mental health, physical health, health behaviours) or socio-economic outcomes (e.g. education, employment, income), and (3) report Australian data. Measures of racism will focus on study participants’ self-reports, with a separate analysis dedicated to researcher-reported measures, such as segregation and differential outcomes across racial/ethnic groups. Measures of health and socio-economic outcomes will include both self-reports and researcher-reported measures, such as physiological measurements. Existing reviews will be manually searched for additional studies. Study characteristics will be summarised, and a meta-analysis of the prevalence of racism and its associations will be conducted using random effects models and mean weighted effect sizes. Moderation and subgroup analyses will be conducted as well. All analyses will use the software CMA 3.0. Discussion: This study will provide a novel and comprehensive synthesis of the quantitative evidence base on racism in Australia. It will answer questions about the fluctuation of racism over time, its variation across settings and groups, and its relationship with health and socio-economic outcomes. Findings will be discussed in relation to broader debates in this growing field of research and will be widely disseminated to inform anti-racism research, action and policy nationally. Systematic review registration: PROSPERO CRD42021265115

Racism as a determinant of health: a systematic review and meta-analysis

Despite a growing body of epidemiological evidence in recent years documenting the health impacts of racism, the cumulative evidence base has yet to be synthesized in a comprehensive meta-analysis focused specifically on racism as a determinant of health. This meta-analysis reviewed the literature focusing on the relationship between reported racism and mental and physical health outcomes. Data from 293 studies reported in 333 articles published between 1983 and 2013, and conducted predominately in the U.S., were analysed using random effects models and mean weighted effect sizes. Racism was associated with poorer mental health (negative mental health: r = -.23, 95% CI [-.24,-.21], k = 227; positive mental health: r = -.13, 95% CI [-.16,-.10], k = 113), including depression, anxiety, psychological stress and various other outcomes. Racism was also associated with poorer general health (r = -.13 (95% CI [-.18,-.09], k = 30), and poorer physical health (r = -.09, 95% CI [-.12,-.06], k = 50). Moderation effects were found for some outcomes with regard to study and exposure characteristics. Effect sizes of racism on mental health were stronger in cross-sectional compared with longitudinal data and in non-representative samples compared with representative samples. Age, sex, birthplace and education level did not moderate the effects of racism on health. Ethnicity significantly moderated the effect of racism on negative mental health and physical health: the association between racism and negative mental health was significantly stronger for Asian American and Latino(a) American participants compared with African American participants, and the association between racism and physical health was significantly stronger for Latino(a) American participants compared with African American participants.<br /

Global, regional, and national incidence, prevalence, and years lived with disability for 328 diseases and injuries for 195 countries, 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016

As mortality rates decline, life expectancy increases, and populations age, non-fatal outcomes of diseases and injuries are becoming a larger component of the global burden of disease. The Global Burden of Diseases, Injuries, and Risk Factors Study 2016 (GBD 2016) provides a comprehensive assessment of prevalence, incidence, and years lived with disability (YLDs) for 328 causes in 195 countries and territories from 1990 to 2016