Bamford et al. (2019), in the context of estimating the value of a statistical life (VSL), say (emphasis added):
Concerns regarding responsiveness to scope in CV studies are not novel; indeed, instances of scope insensitivity are widespread within the literature (Ojea and Loureiro, 2011). However, investigations into the causes of such problems remain an active area of research (Borzykowki et al., 2018). Despite this, and the crucial importance of scope sensitivity to CV based estimates of VSL, implausibly small sensitivity to scope often appears to be considered acceptable in the field literature (Amrian [sic] and Hagen, 2010; Whitehead, 2016) ...
That's not really what my paper or Amiran and Hagan say. I pointed out that Arrow et al. considered the magnitude of the scope effect (i.e., more is better in contingent valuation method estimates of willingness to pay) to be a matter of plausibility (is it reasonable or believable?) and not adequacy (is it satisfactory or acceptable). These are subtle differences but one might consider adequacy a more stringent (strident?) subjective threshold imposed by CVM critics (i.e., researchers funded by Exxon or BP or both). Note that Bamford et al. assert that we equate "implausibly small" with adequate (i.e., acceptable) in our papers. I find that an odd interpretation of the two citations.
I'm curious to know what scope test estimates Bamford et al. find to be implausibly small. Note that the scope test in the VSL literature is different than in the environmental literature, being complicated by proportionality. I think that the authors might be mixing apples (scope elasticity) and oranges (proportionality) when thinking about how to assess plausible scope effects.
And, I wonder where in my paper they find a statement that suggests I think that we should find "implausibly small" scope effects to be acceptable. When thinking about plausible scope effects I suggested that scope elasticity be measured. Typically, scope elasticity will range from 0 to 1. In the paper I re-estimated some scope effects with previously published data. At least one of these elasticities is about 0.10. In other words a 100% increase in scope leads to a 10% increase in willingness to pay. I really fail to see why a scope elasticity of 0.10 should be considered unbelievable.
References
Balmford, Ben, Ian J. Bateman, Katherine Bolt, Brett Day, and Silvia Ferrini. "The Value of Statistical Life for Adults and Children: Comparisons of the contingent valuation and chained approaches." Resource and Energy Economics(2019).