Gendered analysis of the demand for poultry feed in Kenya
Bibliographic record
Abstract
This paper uses a translog cost function approach to study the farm-level demand for poultry feed in Kenya. The study estimates the demand elasticities of the three common types of poultry feed; mixed feed, grain, and leafy vegetables. The estimated model was used to obtain estimates of Marshallian demand elasticities for poultry feed in Kenya for male-headed and female-headed households. The elasticities reported can be used by researchers and policy analysts to evaluate policy effects of changes in feed demand quantities within the livestock economy in Kenya. Moreover, these parameters can provide more reliable estimates of the total change in feed demand than relying on subjective measures of elasticities. Furthermore, the results of this study are essential in enhancing gender equitable policy formulation. Our findings show that own price elasticities of demand for all the feed types are negative and less than unit in absolute value for the sample of farmers surveyed, indicating that the feed types are relatively inelastic. The cross-price elasticities indicate that vegetables and grain are compliments while the rest of the poultry feed types are substitutes. The results also show that there are substantial gender differences in feed demand and elasticities of feed demand with respect to feed prices.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".