On the behavioral impacts of violence: Evidence from incentivized games in Kenya
In: European journal of political economy, Band 78, S. 102352
ISSN: 1873-5703
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In: European journal of political economy, Band 78, S. 102352
ISSN: 1873-5703
In: Economics of education review, Band 48, S. 129-147
ISSN: 0272-7757
The global spread of COVID-19 is one of the largest threats to people and governments since the Second World War. The on-going pandemic and its countermeasures have led to varying physical, psychological, and emotional experiences, shaping not just public health and the economy but also societies. We focus on one pillar of society—trust—and explore how trust correlates with the individual experiences of the pandemic. The analysis is based on a new global survey—'Life with Corona'—and uses simple correlational statistics. We show that those who have had contact with sick people and those that are unemployed exhibit lower trust in people, institutions, and in general. By contrast, no such differences exist for those who have personally experienced symptoms of the disease. These associations vary across contexts and are not driven by concerns about personal health or the health of loved ones, but rather by increased levels of worry and stress. Our findings suggest that the effects of the pandemic go well beyond immediate health concerns, leading to important normative changes that are likely to shape how societies will emerge from the pandemic
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The COVID-19 pandemic is a global crisis affecting everyone. Yet, its challenges and countermeasures vary significantly over time and space. Individual experiences of the pandemic are highly heterogeneous and its impacts span and interlink multiple dimensions, such as health, economic, social and political impacts. Therefore, there is a need to disaggregate "the pandemic": analysing experiences, behaviours and impacts at the micro level and from multiple disciplinary perspectives. Such analyses require multi-topic pan-national survey data that are collected continuously and can be matched with other datasets, such as disease statistics or information on countermeasures. To this end, we introduce a new dataset that matches these desirable properties - the Life with Corona (LwC) survey - and perform illustrative analyses to show the importance of such micro data to understand how the pandemic and its countermeasures shape lives and societies over time.
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