wow-inequalities/docs/meeting_2024-02-09.md

Meeting Miguel 2024-02-09

achieved:

• remaining study batch screened

  • added active labour market policy studies
  • starting to wrangle synthesis:
    • better categorization for some and did dual categorizations, e.g. job search assistance or subsidized employment/wages partly into ALMP
    • Moved away again a little from strict framework adherence to make more sense for the synthesis -> workfware programmes

• focus now:

  • table reviewing main findings
  • screen the remaining 200 studies
  • improve the writing on the synthesis itself
    • to adhere a little closer to

• questions:

  • logistical:
    • create extraction matrices with main/statistical findings
      • are we going to put those in the main Appendix? or do we just pass on the CSV extraction as the data?
    • is there a specific length I am going for for the end result?
    • is it fine if for now I leave intro/conclusion more vague to fit in with rest of the document
  • writing:
    • categories overlap sometimes, of course
      • a study on NREGS in India which has minimum wage effects as primary channel
      • a study on vocational training which fuses it with workfare program (ALMP)
    • I would put the focus on 'per-area' conclusions, not the 'per-study'
  • validity visualizations
    • built a simple scoring rubric of 0-not fulfilled, 1-implicitly fulfilled, 2-explicitly fulfilled
    • internal: (design + method) - (selection bias + measurement bias + confounding bias + performance bias)
    • external: (representativeness) - (generalizability concerns + population invalidity + ecological invalidity)
    • internal:
      • design (observational/qualitative, correlational, causal(quasi-experimental/experimental))
      • confounding variable control (no mention, limits mentioned, limits mentioned and explicitly discussed)
      • data collection (not mentioned, sources mentioned, sources/sample size/observation-length given)
      • statistical control (no robustness checks, data robustness mentioned, explicit robustness checks)
      • biases (no mention, possible biases mentioned, explicitly controlled for/influcence explained)
    • external:
      • generalizability (no mention, implicitly generalizable, explicitly generalizable)
      • representativeness of sample (no mention/sub-national, national, regional/global)
      • ecological validity (no mention, implicit policy implication, explicit policy implication)

• TODO

  • main findings table still remaining
  • write it out
  • shorten?