2 Comments

  1. Congratulations and super relevant. Since it is not always feasible to have embedded enumerators on a representative scale, and/or to be able to communicate with them under certain types of shock, what do you think about combining panel-observations with secondary representative LSMS data sets? We tried this recently in Myanmar and it resulted in UN agencies quadrupling their estimates of people in need: (copy and paste) https://www.ifpri.org/publication/beyond-emergency-relief-what-will-it-take-ensure-resilient-recovery-agriculture-and

  2. This is indeed a great move in taming giant resilience problem. I love high frequency data. Just how frequent should it be in order to match the natural variation is the next step. We have similar infrastructure in Marsabit, tracking other indicators on weekly basis …inbox if we can make this happen in the pastoral context.

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