| 来源类型 | Working Paper |
| 规范类型 | 报告 |
| DOI | 10.3386/w29237 |
| 来源ID | Working Paper 29237 |
| Using Satellite Imagery and Machine Learning to Estimate the Livelihood Impact of Electricity Access | |
| Nathan Ratledge; Gabriel Cadamuro; Brandon De la Cuesta; Matthieu Stigler; Marshall Burke | |
| 发表日期 | 2021-09-13 |
| 出版年 | 2021 |
| 语种 | 英语 |
| 摘要 | In many regions of the world, sparse data on key economic outcomes inhibits the development, targeting, and evaluation of public policy. We demonstrate how advancements in satellite imagery and machine learning can help ameliorate these data and inference challenges. In the context of an expansion of the electrical grid across Uganda, we show how a combination of satellite imagery and computer vision can be used to develop local-level livelihood measurements appropriate for inferring the causal impact of electricity access on livelihoods. We then show how ML-based inference techniques deliver more reliable estimates of the causal impact of electrification than traditional alternatives when applied to these data. We estimate that grid access improves village-level asset wealth in rural Uganda by 0.17 standard deviations, more than doubling the growth rate over our study period relative to untreated areas. Our results provide country-scale evidence on the impact of a key infrastructure investment, and provide a low-cost, generalizable approach to future policy evaluation in data sparse environments. |
| 主题 | Development and Growth ; Development ; Environmental and Resource Economics ; Energy |
| URL | https://www.nber.org/papers/w29237 |
| 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/586911 |
| 推荐引用方式 GB/T 7714 | Nathan Ratledge,Gabriel Cadamuro,Brandon De la Cuesta,et al. Using Satellite Imagery and Machine Learning to Estimate the Livelihood Impact of Electricity Access. 2021. |
| 条目包含的文件 | ||||||
| 文件名称/大小 | 资源类型 | 版本类型 | 开放类型 | 使用许可 | ||
| w29237.pdf（13086KB） | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 | ||
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