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来源类型Working Paper
规范类型报告
DOI10.3386/w28347
来源IDWorking Paper 28347
Chaos and Unpredictability in Dynamic Social Problems
Marco Battaglini
发表日期2021-01-18
出版年2021
语种英语
摘要We study a dynamic model of environmental protection in which the level of pollution is a state variable that strategically links policy making periods. Policymakers are forward looking but politically motivated: they have heterogeneous preferences and do not fully internalize the cost of pollution. This type of political economy model is often reduced to a "modified" planner's problem, and yields predictions that are qualitatively similar to a planner's constrained optimum, albeit with a bias: too much pollution in the steady state (or, in other applications, too little investment in public goods, too much public debt, etc.). We highlight conditions under which this reduction is not possible, and the dynamic time inconsistency generated by the political process is responsible for a new type of distortion. Under these conditions, there are equilibria in which, for a generic economy and generic initial conditions, the state evolves in complex cycles, or unpredictable chaotic dynamics. Depending on the fundamentals of the economy, these equilibria may generate ergodic distributions that consistently overshoot the planner's steady state of pollution, or that fluctuate around it.
主题Microeconomics ; Welfare and Collective Choice ; Public Economics ; Taxation ; Environmental and Resource Economics ; Environment
URLhttps://www.nber.org/papers/w28347
来源智库National Bureau of Economic Research (United States)
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条目标识符http://119.78.100.153/handle/2XGU8XDN/586018
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Marco Battaglini. Chaos and Unpredictability in Dynamic Social Problems. 2021.
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