Demographic Gender Premium in Unskilled Agricultural Labor

In Simple Words

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.

Research question

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.

Participants

2,693 landless agricultural wage workers aged 20+ across 63 sample villages in rural India.

Study Design

OLS log wage regression controlling for individual demographics (age, education, gender), village infrastructure, soil characteristics, and rainfall shocks.

Results

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.

Takeaway

Incorporate demographic wage differentials into baseline labor market models when evaluating household income shocks and gendered welfare impacts in agrarian settings.

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Plain-English glossary

Original explanations, informed by the references below. Examples are illustrations, not data from the studies above. The research text stays unchanged.

Statistically significant

A label used when a result passes a chosen statistical threshold, often p < 0.05. It does not show how large or useful an effect is. A result that is not statistically significant does not prove there is no effect.

ExampleA study reports p = 0.03 against a 0.05 threshold. It passes that test, but the effect could still be too small to matter.

American Statistical Association · Statement on p-values ↗Read more about statistically significant →

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