Off‐Farm Work, Intensity of Government Payments, and Farm Exits: Evidence from a National Survey in the United States
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The last three decades have witnessed the continued exit of households from primary agriculture in the United States, where the average annual gross exit rate has averaged 10% per year. Understanding exit behavior is one key to future farm structure, management of abandoned land, depopulation of rural areas, and agricultural policy, including government program payments. This study empirically estimates the determinants of exit decisions of farm households. Particular attention is given to the roles of intensity of government payments and off‐farm work decisions of farm couples in the exit decision. Using a large farm‐level survey and controlling for endogeneity, results indicate that farm households with reduced intensity of government payments are more likely to exit farming. Households where the operator spouse works off the farm are more likely to exit farming. Additionally, households with older farmers, with the farm operator and spouse raised on a farm, and households operating farms located in Northern Great Plains are more likely to exit farming.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it