| 来源类型 | Working Paper |
| 规范类型 | 报告 |
| DOI | 10.3386/w25177 |
| 来源ID | Working Paper 25177 |
| Accounting for Unobservable Heterogeneity in Cross Section Using Spatial First Differences | |
| Hannah Druckenmiller; Solomon Hsiang | |
| 发表日期 | 2018-10-22 |
| 出版年 | 2018 |
| 语种 | 英语 |
| 摘要 | We develop a simple cross-sectional research design to identify causal effects that is robust to unobservable heterogeneity. When many observational units are dense in physical space, it may be sufficient to regress the “spatial first differences” (SFD) of the outcome on the treatment and omit all covariates. This approach is conceptually similar to first differencing approaches in time-series or panel models, except the index for time is replaced with an index for locations in space. The SFD design identifies plausibly causal effects, even when no instruments are available, so long as local changes in the treatment and unobservable confounders are not systematically correlated between immediately adjacent neighbors. We demonstrate the SFD approach by recovering new cross-sectional estimates for the effects of time-invariant geographic factors, soil and climate, on long-run average crop productivities across US counties — relationships that are notoriously confounded by unobservables but crucial for guiding economic decisions, such as land management and climate policy. |
| 主题 | Econometrics ; Estimation Methods ; Health, Education, and Welfare ; Education ; Environmental and Resource Economics ; Agriculture ; Environment |
| URL | https://www.nber.org/papers/w25177 |
| 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/582851 |
| 推荐引用方式 GB/T 7714 | Hannah Druckenmiller,Solomon Hsiang. Accounting for Unobservable Heterogeneity in Cross Section Using Spatial First Differences. 2018. |
| 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 | ||
| w25177.pdf（3129KB） | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 | ||
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