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Contents contributed and discussions participated by Coonoor Behal

Coonoor Behal

Components and results of the Job Seeker Classification Instrument | Department of Educ... - 0 views

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    "The factors are: age and gender recency of work experience job seeker history educational attainment vocational qualifications English proficiency country of birth Indigenous status Indigenous location geographic location proximity to a labour market access to transport phone contactability disability/medical conditions stability of residence living circumstances criminal convictions personal factors"
Coonoor Behal

Network Effects and Welfare Cultures - Bertrand, Luttmer, Mullainathan - 0 views

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    Strongly confirms the importance of networks in welfare participation
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.
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.
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