TABLE 6.
Crop income reductions: Season total | Crop income reductions: Production, harvest | Crop income reductions: Post‐harvest, marketing | ||||
---|---|---|---|---|---|---|
(1) | (2) | (3) | (4) | (5) | (6) | |
Grows tomato | 43,826*** | 42,843*** | 2045*** | 2022*** | 41,781*** | 40,820*** |
(5531) | (5517) | (377.5) | (388.1) | (5612) | (5601) | |
Farmer age—lowest tercile (18–35 years) | 658.8 | 83.43 | 575.3 | |||
(2225) | (151.1) | (2284) | ||||
Farmer age—highest tercile (49–83 years) | 1605 | –123.1 | 1,728 | |||
(2292) | (153.7) | (2337) | ||||
Medium education level | 2718 | –183.1 | 2902 | |||
(2251) | (124.4) | (2287) | ||||
High education level | –212.2 | –416.4* | 204.2 | |||
(2720) | (166.7) | (2771) | ||||
Above‐median landholdings | –66.42 | –57.13 | –9286 | |||
(1391) | (93.30) | (1386) | ||||
Harvested after median harvest date | –4284 | –386.1 | –3898 | |||
(3415) | (196.7) | (3461) | ||||
Caste | –2770 | 473.8 | –3423 | |||
4976 | (272.5) | (4980) | ||||
Number of observations | 1750 | 1750 | 1750 | 1750 | 1750 | 1750 |
R‐squared | 0.310 | 0.316 | 0.215 | 0.210 | 0.286 | 0.290 |
Note: Coefficients estimated using an ordinal least squares model controlling for block fixed effects (not reported), with standard errors clustered at the village level. For variables with missing values, we impute missing values with the variable average (continuous variables) or zeros (dummy variables) and include for each of these variables a dummy that takes on value one if a value was imputed (and zero otherwise). Coefficients for tomato farmers have been corrected for attrition using inverse probability weights.
p < .05.
p < .01.
p < .001.
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