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Coonoor Behal

Interventions to Break and Create Consumer Habits - 0 views

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    Interventions to change everyday behaviors often attempt to change people's beliefs and intentions. As the authors explain, these interventions are unlikely to be an effective means to change behaviors that people have repeated into habits. Successful habit change interventions involve disrupting the environmental factors that automatically cue habit performance. The authors propose two potential habit change interventions. "Downstream-plus" interventions provide informational input at points when habits are vulnerable to change, such as when people are undergoing naturally occurring changes in performance environments for many everyday actions (e.g., moving households, changing jobs). "Upstream" interventions occur before habit performance and disrupt old environmental cues and establish new ones. Policy interventions can be oriented not only to the change of established habits but also to the acquisition and maintenance of new behaviors through the formation of new habits.
Coonoor Behal

What Strategies Work for the Hard-to-Employ? | mdrc 2012 - 0 views

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    "In the context of a public safety net focused on limiting dependency and encouraging participation in the labor market, policymakers and researchers are especially interested in individuals who face obstacles to finding and keeping jobs. The Enhanced Services for the Hard-to-Employ (HtE) Demonstration and Evaluation Project was a 10-year study that evaluated innovative strategies aimed at improving employment and other outcomes for groups who face serious barriers to employment. The project was sponsored by the Administration for Children and Families (ACF) Office of Planning, Research and Evaluation in the U.S. Department of Health and Human Services, with additional funding from the U.S. Department of Labor. This report describes the HtE programs and summarizes the final results for each program. Additionally, it presents information for three sites from the ACF-sponsored Employment Retention and Advancement (ERA) project where hard-to-employ populations were also targeted. Three of the eight models that are described here led to increases in employment. Two of the three - large-scale programs that provided temporary, subsidized "transitional" jobs to facilitate entry into the workforce for long-term welfare recipients in one program and for ex-prisoners in the other - produced only short-term gains in employment, driven mainly by the transitional jobs themselves. The third one - a welfare-to-work program that provided unpaid work experience, job placement, and education services to recipients with health conditions - had longer-term gains, increasing employment and reducing the amount of cash assistance received over four years. Promising findings were also observed in other sites. An early-childhood development program that was combined with services to boost parents' self-sufficiency increased employment and earnings for a subgroup of the study participants and increased the use of high-quality child care; the program for ex-prisoners mentioned abov
Coonoor Behal

Behavioral Economics and Marketing in Aid of Decision Making Among the Poor - 2 views

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    This article considers several aspects of the economic decision making of the poor from the perspective of behavioral economics, and it focuses on potential contributions from marketing. Among other things, the authors consider some relevant facets of the social and institutional environments in which the poor interact, and they review some behavioral patterns that are likely to arise in these contexts. A behaviorally more informed perspective can help make sense of what might otherwise be considered "puzzles" in the economic comportment of the poor. A behavioral analysis suggests that substantial welfare changes could result from relatively minor policy interventions, and insightful marketing may provide much needed help in the design of such interventions.
Coonoor Behal

What You'll Do Next - NYTimes.com - 0 views

  • The theory of big data is to have no theory, at least about human nature. You just gather huge amounts of information, observe the patterns and estimate probabilities about how people will act in the future.
  • Thus, the passing of time can produce gigantic and unpredictable changes in taste and behavior, changes that are poorly anticipated by looking at patterns of data on what just happened.
  • If you are relying just on data, you will have a tendency to trust preferences and anticipate a continuation of what is happening right now.
  • ...1 more annotation...
  • One of my take-aways is that big data is really good at telling you what to pay attention to. It can tell you what sort of student is likely to fall behind. But then to actually intervene to help that student, you have to get back in the world of causality, back into the world of responsibility, back in the world of advising someone to do x because it will cause y.
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