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来源类型 | Working Paper |
规范类型 | 论文 |
Environmental Policy, Full-Employment Models, and Employment: A Critical Analysis | |
Marc Hafstead; Roberton C. Williams III; Yunguang Chen | |
发表日期 | 2018-04-26 |
出版年 | 2018 |
页码 | WP 18-03 |
语种 | 英语 |
概述 | Full-employment models are often used to predict the labor-market effects of environmental policy. Here, we compare these predictions to those from a new model that incorporates key labor market details, including unemployment and job search. |
结论 | |
摘要 | This paper assesses the use of full-employment computable-general equilibrium (CGE) models to predict the labor-market effects of environmental policy. Specifically, it compares the predictions of a standard full-employment CGE model with those of a new search-CGE model with labor-search frictions and resulting unemployment (but that is otherwise identical to the full-employment model). The search-CGE captures key labor market details, including a distinction between the extensive margin of labor demand (the number of employees) and the intensive margin (the number of hours each employee works). We find that some key results are robust across the two models, such as the reallocation of labor across sectors in response to a carbon tax and the overall change in total labor demand. However, the full-employment model seriously overestimates the economy-wide net change in the number of jobs (by a factor of more than 2.5 for a carbon tax with revenues returned lump-sum to households, and by a factor of almost 3.5 when carbon tax revenues are used to reduce payroll taxes). |
主题 | Environmental Economics Topics |
子主题 | Carbon Tax |
URL | http://www.rff.org/research/publications/environmental-policy-full-employment-models-and-employment-critical-analysis |
来源智库 | Resources for the Future (United States) |
资源类型 | 智库出版物 |
条目标识符 | http://119.78.100.153/handle/2XGU8XDN/41548 |
推荐引用方式 GB/T 7714 | Marc Hafstead,Roberton C. Williams III,Yunguang Chen. Environmental Policy, Full-Employment Models, and Employment: A Critical Analysis. 2018. |
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