Leveraging Behavioral Science to Increase the Impact of Economic Inclusion Programming
Behavioral science-the study of how humans make decisions and take actions—can provide insight into a host of issues that impact the effectiveness of programs that rely on people acting in certain ways. Behavioral science can be utilized to underst...
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2022
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okr-10986-373532022-09-19T17:26:04Z Leveraging Behavioral Science to Increase the Impact of Economic Inclusion Programming Datta, Saugato Joshi, Mukta MacLeod, Catherine Zini, Michele Davide BEHAVIORAL SCIENCE DECISION MAKING PARTNERSHIP FOR ECONOMIC INCLUSION PEI Behavioral science-the study of how humans make decisions and take actions—can provide insight into a host of issues that impact the effectiveness of programs that rely on people acting in certain ways. Behavioral science can be utilized to understand how living in poverty, with chronically scarce resources, affects people's decisions and actions. This can be particularly effective when combined with other program components in economic inclusion programs, which offer a bundle of coordinated, multidimensional interventions that support individuals, households, and communities in their efforts to increase their incomes and assets. By incorporating an understanding of behavioral science into economic inclusion programming, governments and nongovernment organizations seeking to bring millions out of poverty with limited resources can ensure that their programs are designed to account for human behavior. 2022-04-28T19:57:05Z 2022-04-28T19:57:05Z 2022-04-18 Report http://documents.worldbank.org/curated/en/099645204272230259/IDU0ae6bfb1b06f23048320a86a04410297d3852 http://hdl.handle.net/10986/37353 English PEI In Practice;Vol.3 CC BY 3.0 IGO http://creativecommons.org/licenses/by/3.0/igo World Bank Washington, DC: World Bank Report Publications & Research |
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topic |
BEHAVIORAL SCIENCE DECISION MAKING PARTNERSHIP FOR ECONOMIC INCLUSION PEI |
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BEHAVIORAL SCIENCE DECISION MAKING PARTNERSHIP FOR ECONOMIC INCLUSION PEI Datta, Saugato Joshi, Mukta MacLeod, Catherine Zini, Michele Davide Leveraging Behavioral Science to Increase the Impact of Economic Inclusion Programming |
relation |
PEI In Practice;Vol.3 |
description |
Behavioral science-the study of how
humans make decisions and take actions—can provide insight
into a host of issues that impact the effectiveness of
programs that rely on people acting in certain ways.
Behavioral science can be utilized to understand how living
in poverty, with chronically scarce resources, affects
people's decisions and actions. This can be
particularly effective when combined with other program
components in economic inclusion programs, which offer a
bundle of coordinated, multidimensional interventions that
support individuals, households, and communities in their
efforts to increase their incomes and assets. By
incorporating an understanding of behavioral science into
economic inclusion programming, governments and
nongovernment organizations seeking to bring millions out of
poverty with limited resources can ensure that their
programs are designed to account for human behavior. |
format |
Report |
author |
Datta, Saugato Joshi, Mukta MacLeod, Catherine Zini, Michele Davide |
author_facet |
Datta, Saugato Joshi, Mukta MacLeod, Catherine Zini, Michele Davide |
author_sort |
Datta, Saugato |
title |
Leveraging Behavioral Science to Increase the Impact of Economic Inclusion Programming |
title_short |
Leveraging Behavioral Science to Increase the Impact of Economic Inclusion Programming |
title_full |
Leveraging Behavioral Science to Increase the Impact of Economic Inclusion Programming |
title_fullStr |
Leveraging Behavioral Science to Increase the Impact of Economic Inclusion Programming |
title_full_unstemmed |
Leveraging Behavioral Science to Increase the Impact of Economic Inclusion Programming |
title_sort |
leveraging behavioral science to increase the impact of economic inclusion programming |
publisher |
Washington, DC: World Bank |
publishDate |
2022 |
url |
http://documents.worldbank.org/curated/en/099645204272230259/IDU0ae6bfb1b06f23048320a86a04410297d3852 http://hdl.handle.net/10986/37353 |
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1764486998944382976 |