| 来源类型 | Working Paper
|
| 规范类型 | 报告
|
| DOI | 10.3386/w22181
|
| 来源ID | Working Paper 22181
|
| Climate Econometrics |
| Solomon M. Hsiang
|
| 发表日期 | 2016-04-25
|
| 出版年 | 2016
|
| 语种 | 英语
|
| 摘要 | Identifying the effect of climate on societies is central to understanding historical economic development, designing modern policies that react to climatic events, and managing future global climate change. Here, I review, synthesize, and interpret recent advances in methods used to measure effects of climate on social and economic outcomes. Because weather variation plays a large role in recent progress, I formalize the relationship between climate and weather from an econometric perspective and discuss their use as identifying variation, highlighting tradeoffs between key assumptions in different research designs and deriving conditions when weather variation exactly identifies the effects of climate. I then describe advances in recent years, such as parameterization of climate variables from a social perspective, nonlinear models with spatial and temporal displacement, characterizing uncertainty, measurement of adaptation, cross-study comparison, and use of empirical estimates to project the impact of future climate change. I conclude by discussing remaining methodological challenges. |
| 主题 | Econometrics
; Estimation Methods
; Public Economics
; Health, Education, and Welfare
; Health
; Development and Growth
; Development
; Environmental and Resource Economics
; Environment
|
| URL | https://www.nber.org/papers/w22181
|
| 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/579855
|
推荐引用方式
GB/T 7714 |
Solomon M. Hsiang. Climate Econometrics. 2016.
|
|
文件名：
|
w22181.pdf
|
|
格式：
|
Adobe PDF
|
此文件暂不支持浏览
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。
