Demographic Gender Premium in Unskilled Agricultural Labor
Observational StudyClinical Trial
Informal rural agricultural labor markets display persistent wage differentials across demographic groups that cannot be explained by skill, education, or location. Unskilled daily agricultural wage rates systematically favor male workers even after controlling for weather shocks, soil quality, and village infrastructure.
Picture this
Imagine a daily labor market where workers gather every morning to perform identical harvesting tasks in the same fields. Even when male and female workers perform identical manual tasks under the same weather conditions and equipment, male workers receive a significantly higher daily pay rate due to structural demographic wage setting in the local community.
What the evidence says
Male agricultural workers earn a statistically significant 31.0% higher log daily wage than female workers ($\beta = 0.310, t = 9.93$), controlling for age, education, rainfall shocks, soil types, and village infrastructure.
- Who was studied
- 2,693 landless agricultural wage workers aged 20+ across 63 sample villages in rural India.
- How
- OLS log wage regression controlling for individual demographics (age, education, gender), village infrastructure, soil characteristics, and rainfall shocks.
What to do
Incorporate demographic wage differentials into baseline labor market models when evaluating household income shocks and gendered welfare impacts in agrarian settings.
From the source
"Agricultural wages in rural India vary by gender and age... controlling for these quantitatively important determinants of wages using individual-level data leads to greater statistical power."
Risk, Insurance and Wages in General Equilibrium