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Building on recent advances in inverse probability weighted identification and estimation of counterfactual distributions, the authors examine the history of wage earnings for women and their potential wage distributions in the United States. These potentials are two counterfactuals, what if women received men’s market “rewards” for their own “skills,” and what if they received the women’s rewards but for men’s characteristics? Using the Current Population Survey data from 1976 to 2013, the authors analyze the entire counterfactual distributions to separate the “structure” and human capital “composition” effect. In contrast to Maasoumi and Wang (2019), the reference outcome in these decompositions is women’s observed earnings distribution, and inverse probability methods are employed, rather than the conditional quantile approaches. The authors provide decision theoretic measures of the distance between two distributions, to complement assessments based on mean, median, or particular quantiles. We assess uniform rankings of alternate distributions by tests of stochastic dominance in order to identify evaluations robust to subjective measures. Traditional moment-based measures severely underestimate the declining trend of the structure effect. Nevertheless, dominance rankings suggest that the structure (“discrimination”?) effect is bigger than human capital characteristics.

Climate change is occurring around us and impacting on our daily lives, meaning that we have to deal with our cities in a different way. There is also increasing awareness of the need for daily contact with green spaces and the natural environment in order to live a happy, productive and meaningful life.

This reflective essay tells the narrative of how urbanisation has been disconnecting humans from nature. Non-sustainable, non-resilient patterns of urbanisation, along with the neglect of inner-city areas, have resulted in fragmentation and urban decline, led to a loss of biodiversity, and caused the deterioration of ecosystems and their services. Urban regeneration projects allow us to “repair” and restore some of this damage whilst enhancing urban resilience. Connecting existing and enhanced ecosystems, and re-establishing ecosystems both within cities and at the peri-urban fringe is vital for strengthening ecosystem resilience and building adaptive capacity for coping with the effects of climate change.

Cities worldwide need to look for suitable solutions to increase the resilience of their urban spaces in the face of climate change. This essay explores how this can be achieved through the integration of nature-based solutions, the re-greening of neighbourhoods and by correctly attributing value to natural capital. Transforming existing cities and neighbourhoods in this way will enable ecosystems to contribute their services towards healthier and more liveable cities.

This study aims to investigate the impact of social grants on rural household welfare in a village located in one of the poorest provinces in South Africa – KwaZulu Natal Province. Actually, since the inception of democratic rule, the South African government has turned to social grants to address the issues of poverty, income inequality and to improve household welfare. The coverage of social grants has increased substantially with more than 17 million (about 34% of the population) South Africans being recipients of social grants. Despite having relatively well-developed social security system, poverty levels in rural parts of South Africa remains very high.

This study uses a cross-sectional households survey data conducted in Hlokozi village. A propensity score matching technique, which accounts for non-random selection of households, is applied.

The results reveal that social grants have a significant and positive impact on rural household welfare. Specifically, the nearest neighbour matching estimates suggest that the causal effect for social grants on household welfare is the region of about R5,830. Consistent with the nearest neighbouring method, the results obtained using the Kernel matching method show that social grants are significant in improving rural household welfare.

While there are a number of studies that have shed some light on how social grant reduces poverty in South Africa, there are some gaps. Firstly, only a few studies have interrogated the impact of social grants on household welfare. Secondly, most of these studies have relied on descriptive analysis, and finally, besides poverty being high in rural areas, research on the impact of social grants on rural household welfare remains thin.

The paper presents a study on whether citizens’ immigration attitudes shape their attitudes towards social welfare in three Nordic countries.

The main analysis was performed using linear regression analysis. Data were retrieved from the eighth round of the European Social Survey (2016). The data cover the Finnish, Norwegian and Swedish respondents (N = 5,021).

The analyses indicate that citizens’ immigration attitudes are associated with their social welfare attitudes. The more positive the attitudes towards immigration are, the more positive the attitudes toward social welfare will be. Further, people in the political Left have more positive attitudes towards social welfare compared to those in the political Right; but, the immigration issue is more divisive of the political Left’s opinion than that of the Right.

Public opinion research has its limitations because behind an individual’s opinion there are many hidden factors. An individual may also have different opinions depending on the dimensions of the welfare state.

If the immigration issue reduces the support for social welfare among the political Left, it may reduce the legitimacy of the Nordic social policy because the support of the political Left has traditionally been in favour of the universal principles of the welfare state.

The association of the immigration issue and social welfare attitudes has been broadly studied; but, the interaction of the immigration issue and political opinion on social welfare attitudes is less studied.

I study the economic implications of the world oil market dominated by OPEC and non-OPEC major oil producing countries using a general equilibrium model of trilateral trade with oil duopoly. There are three countries and three goods, x, y, and oil (z). Home (H) is endowed with good x . Foreign (F) is endowed with good y and also produces oil (z). Middle (M) is an oil producing country and supplies oil only. I consider two types of oil market structure; (1) Cournot duopoly and (2) perfect competition. I find that Foreign is actually worse off under Cournot duopoly despite being a duopolist for wide range of parameter values that reflect real world situations. This is mainly due to reduced consumption of oil and reduced value of good y endowment under duopoly when Foreign is a net oil exporter or oil autarky, and is also due to worsening terms-of-trade effect under duopoly when Foreign is a net oil importer. Welfare reversal with higher welfare of Foreign under oil duopoly occurs only under highly unrealistic parameter values, and hence the main results of the study remain robust.