Education,human error,and road crash risk: An empirical investigation in the Indian states

This study examines the road accident rates from 29 Indian states and 6 Union Territories during 2006–2015. In this paper, we have employed several empirical techniques such as regression, generalized method of moments (GMM), and threshold regression models to examine how education and attitude of the drivers impact the road accident rates. In our empirical analysis, we demonstrate that lawless driving is found to be positive and statistically significant while incorporating both state and year effects. We also find some interesting result in the context of education and road accidents. We notice positive relationship between higher education and road accident rates across Indian states, which tells us highly educated people are more prone to road accidents as compared with less educated people. In the threshold analysis, the study discovers the positive relationship between road injury and accidents caused by people with higher education, in cases of considering road injury rate from drunken driving as the threshold variable. There appears to be a large number of behavioral issues emanating from higher education, which contributes significantly to the road accident rates in the Indian states. Hence, there is a need for policy intervention.     

Australia: Migration Review Tribunal waives medical inadmissibility criteria for two HIV-positive visa applicants

In two recent cases, Australia's Migration Review Tribunal (MRT) overturned government decisions to refuse the visa applications of HIV-positive candidates for Partner (Temporary) (Class UK) visas on the basis of medical inadmissibility. In doing so, the MRT questioned the opinion of the government medical officer concerning the costs to the Australian community, and took into account the applicants' potential contributions.     

Dynamics of governance,gross capital formation,and growth: Evidence from Brazil,Russia, India,China, and South Africa

This study investigates the impact of governance index and gross fixed capital formation on the economic growth of Brazil, Russia, India, China and South Africa (BRICS) using annual data from 2002 to 2019. This study employs Fixed Effect Model, Driscoll and Kraay standard error with fixed effect, Fully Modified Ordinary Least Square, Dynamic Ordinary Least Square (DOLS) and Panel Dumitrescu Hurlin Causality test. The study has divided the variables into two models where model I includes the impact of governance index (jointly) on economic growth while model II examines the impact of governance index on economic growth individually. The findings demonstrate that the governance index, gross fixed capital formation, population, control of corruption, and governance effectiveness have a positive and significant impact on economic growth, whereas regulatory quality showed a significant and negative impact on economic growth. Furthermore, regarding the Panel test, we notice the presence of unidirectional causality among the constituent variables. Therefore, this study suggests that the government should encourage economic development in the BRICS countries and move away from outdated ideas and poor institutional quality in favor of a new comprehensive reform to achieve excellent governance, population growth control, labor law changes, and corruption control.