Description

Book Synopsis
Insights from behavioural economics, which combines findings from psychology and economics, suggest that a deeper understanding of decision-making and behaviour could improve human services program design and outcomes. Research has shown that small changes in the environment can facilitate behaviours and decisions that are in people''s best interest. However, there has been relatively little exploration of the potential application of this science to complex, large-scale human services programs. This book, from the early stages of OPRE''s Behavioural Interventions to Advance Self-Sufficiency (BIAS) project, provides an overview of behavioural economics, presents an approach to applying behavioural economics to social programs, shares insights from three case studies in the BIAS project, and concludes with some early lessons that have emerged from the work and next steps for the BIAS project.

Behavioral Economics: Applications in Human

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    A Hardback by Lance Mason

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      Publisher: Nova Science Publishers Inc
      Publication Date: Publication Date: 01/01/2015
      ISBN13: 9781634634809, 978-1634634809
      ISBN10: 1634634802
      Also in:
      Economics

      Description

      Book Synopsis
      Insights from behavioural economics, which combines findings from psychology and economics, suggest that a deeper understanding of decision-making and behaviour could improve human services program design and outcomes. Research has shown that small changes in the environment can facilitate behaviours and decisions that are in people''s best interest. However, there has been relatively little exploration of the potential application of this science to complex, large-scale human services programs. This book, from the early stages of OPRE''s Behavioural Interventions to Advance Self-Sufficiency (BIAS) project, provides an overview of behavioural economics, presents an approach to applying behavioural economics to social programs, shares insights from three case studies in the BIAS project, and concludes with some early lessons that have emerged from the work and next steps for the BIAS project.

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