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. 2021 May 25;52(3):525–542. doi: 10.1111/agec.12633

TABLE 6.

Association between income reductions, borrowing, and food insecurity

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.

*

< .05.

**

< .01.

***

< .001.

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