Data from a field experiment studying moral hazard in tenancy contracts in agriculture.
After subsetting, this dataset includes observations on 968 experimental units with the following variables of interest: household composition, treatment assignment, and agricultural outcomes.
data(QJEData)A data frame with 968 rows and 7 columns:
Numeric (integer). Number of children in the household. Larger numbers may reflect increased household labor needs and different investment or effort incentives.
Numeric/binary. Whether the household head is currently married (1) or not (0). Marital status may influence decision-making and risk preferences in farming.
Numeric (integer). Household size. Differences in family labor availability or consumption needs can influence effort levels and thus relate to moral hazard in production decisions.
Numeric. The ratio of adult men to adult women in the household. Imbalances in the male–female ratio can affect labor division and investment decisions.
Numeric/binary. Primary treatment indicator (e.g., whether a farmer is offered a specific tenancy contract or cost-sharing arrangement).
Numeric. Crop yield per square meter (e.g., kilograms of output per square meter). This is a principal outcome measure for evaluating productivity and treatment impact on farm performance.
Numeric/binary. Indicator for whether fertilizer was used (1) or not (0). This measures input investment—a key mechanism in moral hazard models (farmers may alter input use under different contracts).