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Background: After nearly a quarter-century of declining poverty, the numbers are rising again significantly. This is due not only to effects of climate change but also to the COVID-19 pandemics and armed conflict. Combined with the enormous health impacts, that will cause misery and health care costs worldwide. Therefore, this study provides background information on the global research landscape on poverty and health to help researchers, stakeholders, and policymakers determine the best way to address this threat.
Results: The USA is the key player, dealing mainly with domestic issues. European countries are also involved but tend to be more internationally oriented. Developing countries are underrepresented, with Nigeria standing out. A positive correlation was found between publication numbers and economic strength, while the relationship between article numbers and multidimensional poverty was negatively correlated.
Conclusions: These findings highlight the need for advanced networking and the benefits of cross-disciplinary research to mitigate the coming impacts.
We survey a representative sample of US households to study how exposure to the COVID-19 stock market crash a↵ects expectations and planned behavior. Wealth shocks are associated with upward adjustments of expectations about retirement age, desired working hours, and household debt, but have only small e↵ects on expected spending. We provide correlational and experimental evidence that beliefs about the duration of the stock market recovery shape households’ expectations about their own wealth and their planned investment decisions and labor market activity. Our findings shed light on the implications of household exposure to stock market crashes for expectation formation.
In contrast to the popularity of financial education interventions worldwide, studies on the economic effects of those interventions report mixed results. With a focus on the effect on disadvantaged groups, we review both the theoretical and empirical findings in order to understand why this discrepancy exists. The survey first highlights that it is necessary to distinguish between the concepts of, and the relationships between, financial education, financial literacy and financial behavior to identify the true effects of financial education. The review addresses possible biases caused by third factors such as numeracy. Next, we review theories on financial literacy which make clear that the effect of financial education interventions is heterogeneous across the population. Last, we look closely at main empirical studies on financial education targeted at the migrants/immigrants, the low-income earners and the young, and compare their methodologies. There seems to be a positive effect on short-term financial knowledge and awareness of the young, but there is no proven evidence on long-term behavior after being grown up. Studies on financial behavior of migrants and immigrants show almost no effect of financial education.
The Great Recession confirmed a bedrock principle of modern consumption theory: It is impossible to explain aggregate spending behavior without knowledge of the underlying microeconomic distribution of circumstances and choices across households. National accounting frameworks therefore need to be augmented by “bottom up” measures that both (a) capture the microeconomic heterogeneity (in expenditures, income, assets, debt, and beliefs) in the population and (b) sum up to statistics that have a recognizable relationship to the aggregate totals that are already reasonably well measured.
The focus of this contribution is on the mode of capitalism within the industrialized sectors of "emerging markets". Particularly in the context of the rise of the BRIC (Brazil, Russia, India and China) this question has gained considerable importance, also for the development of the world economy as a whole. The core question is whether the type of capitalism within these economies is similar to the capitalist variety of the triad, or diverges in more or less permanent ways. The article gives a preliminary answer to this question, by developing a rough sketch of a "BRIC" model of capitalism and illustrating this model with the case of Brazil. In terms of theory, the article extends the Comparative Capitalism (CC) perspective to the BRICs. On the one side, the focus is on the classical questions of CC, i.e. the determinants of economic development and the differences to other types of capitalism, on the other side the relationship between these varieties and social inequality. It argues that the "state-permeated market economies" of the BRICs rely on clans as a mode of social coordination. As demonstrated by the case of Brazil, this type of capitalism can be quite successful, but is based on a highly unequal distribution of economic and political resources.
Wider participation in stockholding is often presumed to reduce wealth inequality. We measure and decompose changes in US wealth inequality between 1989 and 2001, a period of considerable spread of equity culture. Inequality in equity wealth is found to be important for net wealth inequality, despite equity's limited share. Our findings show that reduced wealth inequality is not a necessary outcome of the spread of equity culture. We estimate contributions of stockholder characteristics to levels and inequality in equity holdings, and we distinguish changes in configuration of the stockholder pool from changes in the influence of given characteristics. Our estimates imply that both the 1989 and the 2001 stockholder pools would have produced higher equity holdings in 1998 than were actually observed for 1998 stockholders. This arises from differences both in optimal holdings and in financial attitudes and practices, suggesting a dilution effect of the boom followed by a cleansing effect of the downturn. Cumulative gains and losses in stockholding are shown to be significantly influenced by length of household investment horizon and portfolio breadth but, controlling for those, use of professional advice is either insignificant or counterproductive. JEL Classification: E21, G11