Estimating the Impact of Covid-19 and Policy Responses on Australian Income Distribution Using Incomplete Data.

This paper undertakes a near real-time analysis of the income distribution effects of the Covid-19 crisis in Australia to understand the ongoing changes in the income distribution as well as the impact of policy responses. By semi-parametrically combining incomplete observed data from three different sources-the monthly Longitudinal Labour Force Survey, the Survey of Income and Housing and administrative payroll data-we estimate the impact of Covid-19 on the Australian income distribution and decompose its impact into the income shock effect and the policy effect between February and June 2020, covering the immediate periods before and after the initial Covid-19 outbreak. Our results suggest that, despite growth in unemployment, the Gini coefficient of equivalised household disposable income dropped by more than 0.02 points between February and June 2020. This reduction is due to the additional wage subsidies and welfare supports offered as part of the policy response, offsetting the increase in income inequality from the income shock effect. The results shows the effectiveness of temporary policy measures both in maintaining living standards and avoiding increases in income inequality. However, the heavy reliance on the support measures shown in the modelling raises the possibility that the changes in the income distribution may be reversed, or even that inequality and living standards could substantially worsen once the measures are withdrawn.

Beyond personal factors: Multilevel determinants of childhood stunting in Indonesia.

BACKGROUND: Stunting is still a major public health problem in low- and middle-income countries, including Indonesia. Previous studies have reported the complexities associated with understanding the determinants of stunting. This study aimed to examine the household-, subdistrict- and province-level determinants of stunting in Indonesia using a multilevel hierarchical mixed effects model. METHODS: We analyzed data for 8045 children taken from the 2007 and 2014 waves of the Indonesian Family and Life Surveys (IFLS). We included individual-, family-/household- and community-level variables in the analyses. A multilevel mixed effects model was employed to take into account the hierarchical structure of the data. Moreover, the model captured the effect of unobserved household-, subdistrict- and province-level characteristics on the probability of children being stunted. RESULTS: Our findings showed that the odds of childhood stunting vary significantly not only by individual child- and household-level characteristics but also by province- and subdistrict-level characteristics. Among the child-level covariates included in our model, dietary habits, neonatal weight, a history of infection, and sex significantly affected the risk of stunting. Household wealth status and parental education are significant household-level covariates associated with a higher risk of stunting. Finally, the risk of stunting is higher for children living in communities without access to water, sanitation and hygiene. CONCLUSIONS: Stunting is associated with not only child-level characteristics but also family- and community-level characteristics. Hence, interventions to reduce stunting should also take into account family and community characteristics to achieve effective outcomes.

Trust, sense of community, and civic engagement: Lessons from Australia.

This article examines the association between trust, sense of community, and civic engagement, with a particular focus on the socioeconomic characteristics of individuals, using data from the Household, Income, and Labor Dynamics in Australia Survey. Through the use of panel logit and binary panel data models, we draw three core observations. First, there is evidence that trust is associated with civic engagement in Australia, particularly in the case of volunteering. Trust is a prerequisite for women to participate in volunteering but not for men, where a sense of community matters more. Second, a high sense of community matters for both types of participation, political and volunteering. Third, the relationships between trust, sense of community, and civic engagement are present among the Baby Boomer and Generation X generations but not the Generation Y generation, which participates differently. The study makes an important contribution to the literature by unmasking the gender and generation stories and debunking popular myths about the unwillingness of new Australians to engage in associative behavior.