Constrained econometric techniques hamper investigations of disease prevalence and income risks in the shrimp industry. We employ an econometric model and machine learning (ML) to reduce model restrictions and improve understanding of the influence of diseases and climate on income and disease risks. An interview of 534 farmers with the models enables the discernment of factors influencing shrimp income and disease risks. ML complemented the Just-Pope production model, and the partial dependency plots show nonlinear relationships between income, disease prevalence, and risk factors. Econometric and ML models generated complementary information to understand income and disease prevalence risk factors.

Ultimatum proposals and dictator donations are studied when proposers can choose the income and sex of the responder. Responder attributes generated strong effects in the selection decisions; subjects preferred to send proposals to low-income responders and female responders were much more popular than males. Hence, signals of income and sex appear to be important in deciding with whom to bargain. We also report from an experiment where both responders and proposers could select co-player based on socioeconomic status and gender. Both female responders and proposers were strongly preferred. A weaker tendency was that high status subjects were favored.

The political involvement of adolescents is characterized by a substantial socioeconomic gradient already at a young age with enduring effects into adulthood. This study investigates whether high parental income creates an enhancing environment that increases the influence of genetic dispositions on political interest using the German TwinLife study (2014–2020, age 10–29, n = 6,174, 54% female, 19% migration background). While 30–40% of the total variance in political interest of twin adolescents (age 10–18) can be attributed to genetic influences, a gene–environment interaction model shows that this share is much lower among poor compared to rich families. Family fixed-effects models among early adults further show no significant effect of income differences on political interest after controlling for family background and genetic influences. This study suggests that the income gap in political participation cannot be fully understood without accounting for life cycle processes and genetic background.

Households are frequently subject to income and asset shocks. We performed a lab experiment, inducing losses on a real effort task, after which we measured cognitive performance, loss aversion and cheating behavior. We found that asset losses, but not income losses, act as a cognitive load, by decreasing accuracy and increasing response times. We did not detect any change in dishonesty or loss aversion.

Several themes which are common to both econometrics and psychometrics are surveyed. The themes are illustrated by reference to permanent income hypotheses, simultaneous equation models, adaptive expectations and partial adjustment schemes, and by reference to test score theory, factor analysis, and time-series models.

In Africa, rangeland ecosystems have been exploited due to heavy and unsustainable grazing. Policy and institutional mechanisms such as integrating silvopastoral systems with sustainable grazing practices have been devised to mitigate the negative effects. In this study, we investigated whether the uptake of sustainable grazing management in the form of controlled grazing spurs investment in multipurpose trees (MPTs) and enhances income. Using instrumental variable regression, we find that controlled grazing increases not only the propensity to plant MPTs but also the number of tree species. More importantly, IV and treatment effect results indicate that controlled grazing enhances income from MPTs.

There is extensive evidence that the COVID-19 pandemic has mostly affected the less well-off in society, boosting economic inequality. In contrast, little is known about how much such rising economic disparities affected the involvement of individuals in politics, thereby enhancing political inequality. Extending the research on political inequality to a key and somewhat neglected dimension of citizens’ involvement with politics - political engagement - this article claims that the COVID-19 depressed engagement and promoted political inequality. The analysis relies on a comparative European approach and on data before and after the emergence of the pandemic. Besides generally finding an overall socioeconomic gap with regard to political engagement, results also suggest that the pandemic somewhat lessened engagement, increasing the gap between the more and less socioeconomically advantaged. Generally, this is not strictly due to a tendency to decrease engagement among the latter but also to increase engagement among the former.

The introduction of the 2012 Labour Code is considered ‘groundbreaking’ in industrial relations in Vietnam. However, knowledge about the effects of this law is still minimal. This study provides the first evidence of the impacts of the law on worker outcomes, disaggregated by location and migration status. The Vietnam Labour Force Survey is used as the primary dataset. Both difference-in-differences and fixed-effect models are applied in the investigation. The estimated results show a relationship between the introduction of the law and the labour supply of contracted workers in urban areas, especially long-term migrant workers. Furthermore, income for these long-term migrant contract workers was affected significantly by the introduction of the law. A link between the law and health insurance participation was also found among non-migrant contracted workers in urban areas. We also perform estimations using a short panel sample and find notable results. The study likewise reveals disadvantages of rural workers compared to urban workers in terms of earnings, and of short-term migrants compared to other workers, in terms of labour supply.

The GINI project investigates the dynamics of inequality among populations over the long term by synthesising global archaeological housing data. This project brings archaeologists together from around the world to assess hypotheses concerning the causes and consequences of inequality that are of relevance to contemporary societies globally.

In many countries, urban areas are commonly contaminated with canine feces that spread parasites, a situation related to the natural and social environment. Dogs having free access to public areas therefore constitutes a health risk. Because in Patagonia there are no records of city comparisons that consider the number of free-roaming dogs and the local environmental and socioeconomic characteristics, in this study we analyse and compare canine parasitoses in two cities of Rio Negro province, Argentina. Canine feces were collected from public areas of El Bolsón and Cipolletti cities and examined using enrichment methods, Kinyoun stain and immunoassay (Copro-Elisa). The total percentage of positive feces in El Bolsón was 68.95% and 16 parasite taxa being identified, whereas in Cipolletti the total positive feces was 41.1%, with 11 taxa. Both cities presented more helminth species than protozoans. The variables that explained the occurrence of all parasites were rainfall and socioeconomic stratum with the highest values being found in low-income areas.

Soil moisture is conditioned by rainfall. This study highlights the presence of the zoonotic Echinococcus sp. in dogs in urban areas of the Rio Negro province. The occurrence of this parasite in Cipolletti is unexpected, given that this city is not considered an endemic zone for this disease, which is not included in local monitoring and control plans.

Studies of health care expenditure often exclude explanatory variables measuring wealth, despite the intuitive importance and policy relevance. We use the Household, Income and Labour Dynamics in Australia Survey to assess impacts of income and wealth on health expenditure. We investigate four different dependent variables related to health expenditure and use three main methodological approaches. These approaches include a first difference model and introduction of a lagged dependent variable into a cross-sectional context. The key findings include that wealth tends to be more important than income in identifying variation in health expenditure. This applies for health variables which are not directly linked to means testing, such as spending on health practitioners and for being unable to afford required medical treatment. In contrast, the paper includes no evidence of different impacts of income and wealth on spending on medicines, prescriptions or pharmaceuticals. The results motivate two novel policy innovations. One is the introduction of an asset test for determining rebate eligibility for private health insurance. The second is greater focus on asset testing, rather than income tests, for a wide range of general welfare payments that can be used for health expenditure. Australia's world-leading use of means testing can provide a test case for many countries.