422 research outputs found

    Competing risks analysis and deposit insurance governance convergence

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    Why do policies often seem to converge across countries at the same time? This question has been studied extensively in the diffusion literature. However, past research has not examined complex choice environments, especially where there are many alternatives. My paper aims to fill this gap in the literature. I show how Fine and Gray Competing Risks Event History Analysis can be used to tease apart the causes of policy convergence. I apply the method to an examination of the reasons why, from the mid-1990s to 2007, many countries created independent deposit insurers. I find an interaction between international recommendations and regional peersā€™ choices, particularly in the European Union. However, convergence appears to slow under the particular conditions of a banking crisis, regardless of how well independence was promoted. Possibly due to electoral incentives democracies seem to have been more likely to create independent insurers. Ultimately, I demonstrate how competing risks analysis can help enable future research on policy choices, complementing methods previously applied in political economy.international policy diffusion, competing risks analysis, delegation, banking crisis, IMF, deposit insurance

    The return of the British Disease? The post-Brexit credible commitment conundrum

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    The outcome of Brexit is likely to be less investment because of less policy credibility ā€“ regardless of what type of relationship with Europe is agreed. What makes Britain particularly prone to economic policies that are not credible is its parliamentary system, writes Christopher Gandrud and demonstrates how UK investment worked before and after the UK joined the EU. He argues that to avoid going back to the less prosperous years, constitutional reforms will be necessar

    Knowing the unknowns: financial policymaking in uncertainty

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    How do policymakers make decisions during ļ¬nancial market uncertainty? I develop a straightforward framework of policymaking in uncertainty. To overcome uncertainty, policymakers gather information using strategies discussed across a variety of political science disciplines. Policymakers need information to be able to make goal-oriented decisions. The information strategies actors choose are conditioned on the uncertainty problems they face. In turn, the information they receive impacts their policy decisions. My three empirical papers investigate what strategies are likely to be chosen in diļ¬€erent types of uncertainty and how these choices aļ¬€ect policy decisions. My ļ¬rst paper, co-written with MĆ­cheĆ”l Oā€™Keeļ¬€e, develops a signaling game that policymakers play when they perceive data uncertainty, i.e. uncertainty about economic fundamentals. The model is supported empirically with analytic narratives of recent crises in Korea and Ireland. My following two papers deal with situations of increasing causal uncertainty, i.e. uncertainty about how actions cause outcomes. In both of these papers I use Multi-state Event History Analysis. I ļ¬nd that when there is high causal uncertainty policymakers tend to use learning strategies that start with international-level policy recommendations. These recommendations are then updated with the experiences of regional peers who have adopted them. Beyond creating and ļ¬nding evidence for a parsimonious framework of decisionmaking in uncertainty, I make a number of other contributions to political economy. I extend the empirical tools researchers can use to understand decisions in complex choice environments. I provide evidence that making ļ¬nancial bureaucrats ā€œindependent" does not ensure positive outcomes. Speciļ¬cally, it does not guarantee that ļ¬nancial bureaucrats will provide accurate information needed for eļ¬€ective policymaking
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