A Hedonic Price Analysis of Farmland Option Premiums Under Urban Influences
Bibliographic record
Abstract
An emerging theory, real option pricing, suggests that an important component of urban fringe farmland values may be the option value arising from nearby urban development. This new option pricing theory, as opposed to its standard conventional counterpart in finance, incorporates both the uncertainty about the future net benefits of a land conversion decision and the irreversibility of this action taken. We demonstrate that parsimonious empirical hedonic models of the errors‐in‐variables type, when corrected for heteroskedasticity, can provide adequate representations of farmland option premiums. Data for a random sample of cash rented Ohio farmland parcels are used, and the impacts of urban development on farmland option premiums are estimated. Results provide evidence that (a) both land‐use conversion probability and urban influences have been important factors affecting the option value of the state's farmland, and (b) these option premiums associated with irreversible and uncertain land development are capitalized into farmland values. Une nouvelle théorie, l'évaluation des options réelles, semble indiquer qu'un élément important de la valeur des terres agricoles périurbaines pourrait être la valeur d'option découlant du développement urbain avoisinant. Cette nouvelle théorie, contrairement aux options financières, inclut à la fois l'incertitude quant aux bénéfices nets futurs liés à la décision de convertir une terre et l'irréversibilité de cette décision. Nous avons démontré que les modèles empiriques parcimonieux et hédoniques du type erreurs sur les variables peuvent, une fois l'hétéroscédasticité corrigée, donner des présentations adéquates des prix de l'option des terres agricoles. Nous avons utilisé les données d'un échantillon aléatoire de parcelles de terres agricoles louées au comptant en Ohio et nous avons estimé l'impact du développement urbain sur le prix de l'option des terres agricoles. Les résultats ont montré: a) que la probabilité de conversion de l'utilisation des terres et les influences urbaines sont des facteurs importants qui influent sur la valeur de l'option des terres agricoles de l'État; b) que ces prix de l'option associés à un aménagement urbain irréversible et incertain sont intégrés dans la valeur des terres agricoles.
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How this classification was reachedexpand
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) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".