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来源类型 | Working Paper |
规范类型 | 报告 |
DOI | 10.3386/w28347 |
来源ID | Working 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 |
URL | https://www.nber.org/papers/w28347 |
来源智库 | National Bureau of Economic Research (United States) |
引用统计 | |
资源类型 | 智库出版物 |
条目标识符 | http://119.78.100.153/handle/2XGU8XDN/586018 |
推荐引用方式 GB/T 7714 | Marco Battaglini. Chaos and Unpredictability in Dynamic Social Problems. 2021. |
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文件名称/大小 | 资源类型 | 版本类型 | 开放类型 | 使用许可 | ||
w28347.pdf(566KB) | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 |
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