Benefit Transfer Method
Also known as: Benefit Transfer, Value Transfer, Unit Value Transfer, Benefit Function Transfer
Benefit transfer is the practice of estimating the economic value of a nonmarket good — clean water, a recreation site, an endangered species, an avoided health risk — at a new 'policy site' by adapting value estimates from one or more existing 'study sites' where primary valuation research was already conducted. Because original contingent-valuation, choice-experiment, or hedonic studies are expensive and slow, analysts facing limited time and budgets transfer existing results, ranging from simply borrowing a single dollar value (unit value transfer) to transplanting an entire estimated valuation function (function transfer) or predicting from a meta-regression of many prior studies.
Key highlights
- Far cheaper and faster than commissioning a primary valuation study, enabling valuation under realistic policy timelines and budgets.
- Makes the accumulated nonmarket-valuation literature reusable, so each new analysis can stand on prior research rather than starting from scratch.
- Function and meta-analytic transfer allow values to be tailored to the policy site's own income, demographics, and site attributes.
- Supported by curated value databases and meta-analyses, making transfer increasingly systematic, documented, and reproducible.
Intuition
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How it works
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When to use it
Use benefit transfer when a decision needs a credible nonmarket value but time, budget, or data preclude an original primary valuation study — the typical situation in routine regulatory impact analysis, rapid environmental assessments, and natural-resource damage screening. It is most defensible when the policy site closely resembles the study site(s) in the good being valued, the affected population, site quality and scale, and the change in provision, and when high-quality primary studies or a robust meta-analysis exist. Prefer function or meta-analytic transfer over plain unit transfer whenever the underlying studies report estimable functions. Avoid benefit transfer, or treat it as only a rough bound, when the policy context differs sharply from available studies, when the good is unique, or when the stakes are high enough to justify primary research; in those cases the transfer error may dominate the analysis.
Strengths & limitations
- Far cheaper and faster than commissioning a primary valuation study, enabling valuation under realistic policy timelines and budgets.
- Makes the accumulated nonmarket-valuation literature reusable, so each new analysis can stand on prior research rather than starting from scratch.
- Function and meta-analytic transfer allow values to be tailored to the policy site's own income, demographics, and site attributes.
- Supported by curated value databases and meta-analyses, making transfer increasingly systematic, documented, and reproducible.
- Introduces transfer error that grows as the study and policy sites diverge in good, population, scale, or context, and is hard to quantify ex ante.
- Quality is capped by the quality and comparability of the underlying primary studies, including their methodological flaws.
- Unit value transfer ignores differences in site quality, substitutes, and preferences, often producing large and undocumented bias.
- Meta-analytic transfer requires a sizeable, comparable body of studies and can be distorted by publication bias and methodological heterogeneity across the literature.
Common pitfalls
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Applications
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Frequently asked
What is the difference between unit value transfer and function transfer?
Unit value transfer copies a single per-unit dollar value (optionally income-adjusted) from a study site to the policy site, so value cannot respond to the policy site's own characteristics. Function transfer instead copies the entire estimated valuation equation — the coefficients linking value to income, demographics, and site attributes — and evaluates it at the policy site's actual characteristics, so the transferred value adapts to the new context. Function transfer is generally more accurate when a well-estimated function is available, while unit transfer is simpler but riskier.
How large is transfer error and how do you handle it?
Transfer error — the gap between a transferred value and what a primary study at the policy site would have found — is typically tens of percent and can exceed 100% when sites differ markedly; convergent-validity studies that re-estimate values on-site are the main way it is measured. Because it cannot be eliminated, good practice is to choose study sites that closely match the policy site, prefer function or meta-analytic transfer, and report sensitivity analyses or value ranges rather than a single point estimate.
When should you commission a primary study instead of transferring?
Commission primary research when the decision's stakes are high relative to study costs, when the good or site is unusual and poorly represented in the literature, or when no comparable, good-quality studies exist to transfer from. Benefit transfer is best reserved for routine, lower-stakes, or screening analyses, and for policy sites that closely resemble well-studied contexts. Even then, transfer results are often used to scope or justify a later primary study rather than as the final word.
Sources
- 1.Rosenberger, R. S., & Loomis, J. B. (2003). Benefit transfer. In P. A. Champ, K. J. Boyle, & T. C. Brown (Eds.), A Primer on Nonmarket Valuation. Kluwer/Springer.ISBN 9780792364986
- 2.Boyle, K. J., & Bergstrom, J. C. (1992). Benefit transfer studies: myths, pragmatism, and idealism. Water Resources Research, 28(3), 657–663.
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Cite this page
ScholarGate. (2026, June 22). Benefit Transfer Method. ScholarGate. https://scholargate.app/economics/benefit-transfer-method