Regression Kink Design Estimates of Subsidy Incidence
| Linear with Controls: Individual Kink | ||||||
|---|---|---|---|---|---|---|
| Linear without Controls (1) | Linear with Controls (2) | Quadratic with Controls (3) | Cubic with Controls (4) | Left (5) | Right (6) | |
| Subsidy incidence | 0.537*** (0.080) | 0.378*** (0.078) | 0.396*** (0.085) | 0.377*** (0.086) | 0.372*** (0.079) | 0.479*** (0.128) |
| AIC | −21,401 | −22,419 | −22,417 | −22,418 | ||
| Observations | 13,680 | 13,680 | 13,680 | 13,680 | 13,130 | 4,383 |
Note: The table presents the subsidy incidence after scaling δ by −1/.85 from equation [8]. Robust standard errors, additionally scaled, are clustered by county. The Akaike information criteria (AIC) measures model fit. Specifications 2-6 include the following control variables that were divided by BR: the proportion of land planted to corn, soybeans, wheat, and sorghum; farm-level per-acre revenue; year dummy variables. The sample only includes Midwest farms. Kinks were estimated at 0.845 and 1.010. Specifications 5 and 6 were only estimated across a single kink. The left kink is where payments become capped. The right kink is the payment threshold. AIC is not presented for specifications 5 and 6 because they contain different samples.
↵*** p < 0.01;
** p < 0.05
* p < 0.1