QJEData {fastrerandomize} | R Documentation |
QJEData: Agricultural Treatment Experiment Data
Description
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.
Usage
data(QJEData)
Format
A data frame with 968 rows and 7 columns:
- children
Numeric (integer). Number of children in the household. Larger numbers may reflect increased household labor needs and different investment or effort incentives.
- married
Numeric/binary. Whether the household head is currently married (1) or not (0). Marital status may influence decision-making and risk preferences in farming.
- hh_size
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.
- hh_sexrat
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.
- treat1
Numeric/binary. Primary treatment indicator (e.g., whether a farmer is offered a specific tenancy contract or cost-sharing arrangement).
- R_yield_ELA_sqm
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.
- ELA_Fertil_D
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).
Source
Burchardi, K.B., Ghatak, M., & Johanssen, A. (2019). Moral hazard: Experimental evidence from tenancy contracts. The Quarterly Journal of Economics, 134(1), 281-347.