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

deewr.gov.au/eker-classification-instrument Australia work JSCI classification employment customized segmentation
shared by Coonoor Behal on 13 May 13 - No Cached
  • Coonoor Behal on 13 May 13
     
    "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"
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Network Effects and Welfare Cultures - Bertrand, Luttmer, Mullainathan - 0 views

faculty.chicagobooth.edu/...network_welfare_qje.pdf networkeffects welfareculture behaviors patterns Bertrand Mullainathan
shared by Coonoor Behal on 24 Apr 13 - No Cached
  • Coonoor Behal on 24 Apr 13
     
    Strongly confirms the importance of networks in welfare participation
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What You'll Do Next - NYTimes.com - 0 views

www.nytimes.com/...brooks-what-youll-do-next.html bigdata behavior correlation causation intervention
shared by Coonoor Behal on 16 Apr 13 - No Cached
  • 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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