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Dean Karlan

    Dean Karlan is hoogleraar economie aan Yale University, met een focus op gedragseconomie en de toepassing ervan bij armoedebestrijding. Zijn werk onderzoekt hoe psychologische factoren economische beslissingen beïnvloeden en hoe deze inzichten kunnen worden gebruikt om effectiever beleid en interventies te ontwerpen. Karlans onderzoek benadrukt empirisch bewijs en veldexperimenten gericht op het begrijpen en aanpakken van wereldwijde armoedeproblemen.

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

      • 176bladzijden
      • 7 uur lezen

      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

      • 312bladzijden
      • 11 uur lezen

      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