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  • Reply to: The State of Development Journals 2017: Quality, Acceptance Rates, and Review Times   2 days 8 hours ago

    Great piece of Information. I have experienced the rate of acceptance for the paper related to international finance is less.

  • Reply to: Do impact evaluations tell us anything about reducing poverty? Vol. II: The empire stagnates   3 days 10 hours ago
    Thanks for this Silvio.   The overlap will be minimal -- most of ours are from 2017-8, with just a few from 2016.  

    Often I've heard people shy away from consumption/expenditure because it's noisy -- but I agree, it would be good to know if they considered it.  And at the very least, are they working with poor people.  
  • Reply to: Do impact evaluations tell us anything about reducing poverty? Vol. II: The empire stagnates   3 days 11 hours ago

    Thanks Marcus for this relevant post. It would be interesting to see the list of studies that you have reviewed. We have found similar results when we conducted a literature review of impact evaluations of combined agricultural and social protection interventions ( table 6 pag 47). Out of 37 studies, in only 5 of them (14%) authors analyzed some measures of monetary poverty. We completed the lit rev by the end of 2016, so it would be interesting to compare how many impact evaluations appear in our and your review. Why authors did not have a closer look at poverty? Did they look at it and did not report the impact estimate because it was not statistically significant or it did not have the expected sign/magnitude? Sometimes we might expect reductions in the poverty gap instead of the head count ratio, but in any case we should try to be as much transparent as possible and at least justify why we did not look at any of these indicators.

  • Reply to: Electronic versus paper-based data collection: reviewing the debate   4 days 13 hours ago

    I really enjoyed the content of this blog regarding CAPI or PAPI. One question I have is ..apart from the 7 practical points you have mentioned,is there any theoretical foundations or fame work which can depict or clarify why CAPI generate better data quality compared to PAPI?

  • Reply to: Should you oversample compliers if budget is limited and you are concerned take-up is low?   4 days 14 hours ago
    Hi JP,
    You are correct, what is randomly assigned is the Offer of training, not whether or not people decide to take it. So the authors need to compare a random sample of those offered training (the treatment group)  to a random sample of those not offered training (the control group). Comparing the means for these two groups gives what is called the intention-to-treat effect. If you divide this by the proportion of those offered training who actually received it, you can also recover what is called the treatment effect on the treated - the effect of actually receiving training for those who take it up when offered. But both require surveying not only those who attend the training, but also those who are offered training but don't attend.