Stage-Specific Labor Demand Divergence
RCTClinical Trial
Agricultural production involves distinct sequential stages (planting versus harvest), but empirical risk models often aggregate labor inputs, obscuring whether weather insurance alters ex-ante planting investments or ex-post harvest decisions.
Picture this
Imagine a farmer preparing a field for planting before knowing if the rainy season will be good or bad. Since planting happens early, weather insurance does not change how many workers are needed to sow seeds. However, once the rains fall and crops grow, insured farmers who planted high-yield crops need significantly more hands to harvest the abundant crops compared to uninsured farmers.
What the evidence says
Insurance interaction with rainfall deviation increases harvest labor demand by 0.654 days per mm/day (t-stat = 2.39), while planting-stage labor demand shows no statistically significant response (0.459 days per mm/day, t-stat = 1.41; and 0.191 in full specification, t-stat = 0.48).
- Who was studied
- N = 1,468 landowning cultivator households (>0.5 acres) across 42 rural villages in Andhra Pradesh, Uttar Pradesh, and Tamil Nadu.
- How
- Clustered RCT evaluating harvest-stage labor days versus planting-stage labor days (sowing, soil preparation, transplanting) as a placebo test using village fixed-effects panel regressions.
What to do
Evaluate agricultural labor policies separately across planting and harvest stages to prevent mistaking harvest-stage labor demand shifts for planting-stage employment changes.
From the source
"In contrast to the estimates for harvest labor, the effect of realized rainfall in the village on the difference in demand for planting-stage labor across insured and uninsured cultivators is not statistically different from zero."
300_400 Wages General Equilibrium NBER Jan2014.pdf