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Dean Karlan

    Dean Karlan est professeur d'économie à l'Université de Yale, spécialisé en économie comportementale et son application à la réduction de la pauvreté. Ses travaux explorent comment les facteurs psychologiques influencent les décisions économiques et comment ces perspectives peuvent être utilisées pour concevoir des politiques et des interventions plus efficaces. La recherche de Karlan met l'accent sur les preuves empiriques et les expériences sur le terrain visant à comprendre et à aborder les défis de la pauvreté mondiale.

    The Goldilocks Challenge
    Failing in the Field
    • Failing in the Field

      • 176pages
      • 7 heures de lecture

      A revealing look at the common causes of failures in randomized control experiments during field reseach—and how to avoid them All across the social sciences, from development economics to political science, researchers are going into the field to collect data and learn about the world. Successful randomized controlled trials have brought about enormous gains, but less is learned when projects fail. In Failing in the Field, Dean Karlan and Jacob Appel examine the taboo subject of failure in field research so that researchers might avoid the same pitfalls in future work. Drawing on the experiences of top social scientists working in developing countries, this book describes five common categories of failures, reviews six case studies in detail, and concludes with reflections on best (and worst) practices for designing and running field projects, with an emphasis on randomized controlled trials. Failing in the Field is an invaluable “how-not-to” guide to conducting fieldwork and running randomized controlled trials in development settings.

      Failing in the Field
    • The Goldilocks Challenge

      • 312pages
      • 11 heures de lecture

      The recent push for impact measurement has been positive, but it has also led to wasted resources and often misleading data about what works. In The Goldilocks Challenge, Mary Kay Gugerty and Dean Karlan put forth four key principles to guide organizations of all sizes to create strong, "right-fit" data collection systems.

      The Goldilocks Challenge