disagreed
with an older version, still doesn't mention our response
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uj-wellbeing-workshop.netlify.app uj-wellbeing-workshop.netlify.app
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McGuire, J., Langford, K., & Plant, M. (2024).
That's also a hallucination, no paper with Langford. Maybe a human should look at this stuff?
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The time dimension is often the largest source of uncertainty.
This is a problem for any metric. For example, HLI try to model time empirically with different models. DALYs have the duration of a case of certain condition. Even income effects need time considerations (e.g., some models made assumptions that the income benefits of deworming were constant over years).
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Calibrated WELLBY
Not sure what that is
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GiveDirectly cash transfers
This is not the only evidence, see https://www.happierlivesinstitute.org/givedirectly-comprehensive-summary/
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6. Neutral point and mortality
would be good to reference our presentation about all of these concepts, this is the main source for this. https://www.happierlivesinstitute.org/report/the-elephant-in-the-bednet/
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point estimates
would be nice to note that HLI's done the work of finding all of these
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f mental health interventions
we don't just do mental health
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4. A key critique: identification and transformations
Maybe note that this is the whole area for which Kaiser & Lepinteur (both participants) have a counter to all this
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life satisfaction
HLI uses subjective wellbeing measures in general, because there's not a lot of wellbeing data out there, so we don't cut ourselves off to just life satisfaction
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uj-wellbeing-workshop.netlify.app uj-wellbeing-workshop.netlify.app
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SD-equivalence Treat 1 SD improvement in one metric ≈ 1 SD in another
There are two methodological elements combined in this. What you could look at how much changes (e.g., from an intervention) in wellbeing and health relate. This doesn't have to be in SD changes.
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Depression → LS mapping: Studies measured depression severity (PHQ-9), not life satisfaction. Converting requires assumptions about the depression-LS relationship.
Not just PHQ-9, all sorts of measures. This is a topic we've already addressed and replied to. See latest report on this. https://www.happierlivesinstitute.org/report/converting-measures-of-mental-health-and-wellbeing-into-wellbys/
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GiveWell's StrongMinds analysis explicitly highlights that translating depression improvements into life satisfaction is a key uncertainty because many psychotherapy studies do not report LS outcomes directly. The mapping model matters for the final cost-effectiveness estimate.
Would be nice to note with all of this that we actually gave a reply to GW and that this very old stuff, our analysis has had major updates since (latest) which has been positively reviewed by Unjournal.
I don't see a link between any of this and DALY-WELLBY – this seems to come out of nowhere?
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for mental health interventions[16]
We evaluate all sorts of interventions (e.g., lead reduction, malnutrition, cash transfers). The footnote feels gratuitous, considering there's no reference, Unjournal have reviewed our analysis positively, and we don't do apply a wellby to money conversion for StrongMinds, we just do cost-effectiveness analysis (e.g., Treasury does monetisation)
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