COVID-19 labour market shocks and their inequality implications for financial wellbeing

Using an online survey of Australian residents, we elicit the potential impacts of COVID-19 related labour market shocks on a validated measure of financial wellbeing. Experiencing a reduction in hours and earnings, entering into unemployment or having to file for unemployment benefits during the pandemic are strongly and significantly associated with decreases in financial wellbeing of around 29% or 18 points on the financial wellbeing scale of 0-100, despite various government measures to reduce such effects. Unconditional quantile regression analyses indicate that the negative COVID-19 labour market effects are felt the most by people in the lowest percentiles of the financial wellbeing distribution. Counterfactual distributional analyses and distribution regression indicate a shifting of the financial wellbeing distribution leftwards brought on by those suffering any of the above-mentioned labour market shocks, indicating potential dramatic increases in financial wellbeing disadvantage and inequality

The genetic architecture of the human cerebral cortex

The cerebral cortex underlies our complex cognitive capabilities, yet little is known about the specific genetic loci that influence human cortical structure. To identify genetic variants that affect cortical structure, we conducted a genome-wide association meta-analysis of brain magnetic resonance imaging data from 51,665 individuals. We analyzed the surface area and average thickness of the whole cortex and 34 regions with known functional specializations. We identified 199 significant loci and found significant enrichment for loci influencing total surface area within regulatory elements that are active during prenatal cortical development, supporting the radial unit hypothesis. Loci that affect regional surface area cluster near genes in Wnt signaling pathways, which influence progenitor expansion and areal identity. Variation in cortical structure is genetically correlated with cognitive function, Parkinson's disease, insomnia, depression, neuroticism, and attention deficit hyperactivity disorder

Gender differences in the lifecycle benefits of compulsory schooling policies

We estimate the lifecycle benefits of policies that raise the minimum school leaving age (MSLA). Using a difference-in-differences method, we estimate the causal impact of two adjacent Australian state reforms that extended the MSLA from 14 to 15 in mid 1960. Important gender and state differences emerge in how the reforms affected secondary and postsecondary education outcomes. The biggest winners were women in Victoria, for whom the reform increased postsecondary education, while the reform lifted only minimum schooling qualifications in South Australia. As a consequence, the Victorian reform improved the lifecycle capital accumulation process especially for women, while few benefits were observed for South Australians. Victorian women entered higher-skilled occupations, were more likely to own homes, to be still married and satisfied with family life in pre-retirement age. Victorian men also gained, but the gains were limited to better cognitive and non-cognitive skills, health, and satisfaction with (family) life. Yet, all groups benefitted from delayed and reduced fertility, and a happier family life. We conclude that raising education levels for individuals at the lower end of the education spectrum produces lifecycle benefits that exceed market-return considerations, but major benefits occur only if the reform impacts education outcomes beyond minimum schooling

The genetics of endophenotypes of neurofunction to understand schizophrenia (genus) consortium: a collaborative cognitive and neuroimaging genetics project

Background Schizophrenia has a large genetic component, and the pathways from genes to illness manifestation are beginning to be identified. The Genetics of Endophenotypes of Neurofunction to Understand Schizophrenia (GENUS) Consortium aims to clarify the role of genetic variation in brain abnormalities underlying schizophrenia. This article describes the GENUS Consortium sample collection. Methods We identified existing samples collected for schizophrenia studies consisting of patients, controls, and/or individuals at familial high-risk (FHR) for schizophrenia. Samples had single nucleotide polymorphism (SNP) array data or genomic DNA, clinical and demographic data, and neuropsychological and/or brain magnetic resonance imaging (MRI) data. Data were subjected to quality control procedures at a central site. Results Sixteen research groups contributed data from 5199 psychosis patients, 4877 controls, and 725 FHR individuals. All participants have relevant demographic data and all patients have relevant clinical data. The sex ratio is 56.5% male and 43.5% female. Significant differences exist between diagnostic groups for premorbid and current IQ (both p 10,000 participants. The breadth of data across clinical, genetic, neuropsychological, and MRI modalities provides an important opportunity for elucidating the genetic basis of neural processes underlying schizophrenia