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Abstract There is increasing recognition that statistical estimates of the average willingness to pay for environmental programs may be biased by the failure of respondents, or of the statistical methodology, to consider the effect of substitute programs and goods. We design and implement a CVM survey that estimates the impact of substitution effects on the willingness to pay for an environmental program. We find a statistically significant impact and suggest that the set of potential substitutes is very large.
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Stored only when both papers are in the corpus — 84 citations exist upstream.
Papers that cite the same references — the relational fallback while embeddings are still backfilling.
Imported from OpenAlex (CC0) — nothing here is generated.