| 来源类型 | Working Paper
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| 规范类型 | 报告
|
| DOI | 10.3386/w29976
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| 来源ID | Working Paper 29976
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| A Linear Panel Model with Heterogeneous Coefficients and Variation in Exposure |
| Liyang Sun; Jesse M. Shapiro
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| 发表日期 | 2022-04-25
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| 出版年 | 2022
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| 语种 | 英语
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| 摘要 | Linear panel models featuring unit and time fixed effects appear in many areas of empirical economics. An active literature studies the interpretation of the ordinary least squares estimator of the model, commonly called the two-way fixed effects (TWFE) estimator, in the presence of unmodeled coefficient heterogeneity. We illustrate some implications for the case where the research design takes advantage of variation across units (say, US states) in exposure to some treatment (say, a policy change). In this case, the TWFE can fail to estimate the average (or even a weighted average) of the units' coefficients. Under some conditions, there exists no estimator that is guaranteed to estimate even a weighted average. Building on the literature, we note that when there is a unit totally unaffected by treatment, it is possible to estimate an average effect by replacing the TWFE with an average of difference-in-differences estimators. |
| 主题 | Econometrics
; Estimation Methods
; Data Collection
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| URL | https://www.nber.org/papers/w29976
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| 来源智库 | National Bureau of Economic Research (United States)
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| 引用统计 |
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| 资源类型 | 智库出版物
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| 条目标识符 | http://119.78.100.153/handle/2XGU8XDN/587650
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推荐引用方式
GB/T 7714 |
Liyang Sun,Jesse M. Shapiro. A Linear Panel Model with Heterogeneous Coefficients and Variation in Exposure. 2022.
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文件名：
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w29976.pdf
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格式：
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Adobe PDF
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