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Coonoor Behal

'Why television is more important than food' | Firstpost - Page 2 - 0 views

www.firstpost.com/...2

deferredgain international pleasure incentives immunization alcohol decisionmaking rational choice

shared by Coonoor Behal on 26 Dec 12 - No Cached
  • Firstpost Economy ‘Why television is more important than food’ by Vivek Kaul Dec 14, 2012 #Abhijit Vinayak Banerjee #India #Morocco #Poverty #VeryCloseUp Share 21 0 8 Email13 Comments Print Adult Vaccinations Learn More About a Pertussis Vaccine for Adults. SoundsOfPertussis.comExclusive Masaba Gupta Designer Dresses,Saris And Jackets. Available Only @Pernia's PopupShop perniaspopupshop.com/Free-Shippinghttp://www.google.com/url?ct=abg&q=https://www.google.com/adsense/support/bin/request.py%3Fcontact%3Dabg_afc%26url%3Dhttp://www.firstpost.com/economy/why-television-is-more-important-than-food-557010.html/2%26gl%3DUS%26hl%3Den%26client%3Dca-money_t
  • People with vouchers had were worse off in  nutrition. They felt that now that they have the vouchers, they are rich and no longer need to eat rice. They could eat pork, shrimps etc. They went and bought pork and shrimps and as a result their net calories went down. This is perfectly rational. These people were waiting for pleasure.
  • They could improve their nutrition or for the next ten days they could also eat a little bit better. Fun is something that we forget about.
  • ...2 more annotations...
  • Let me give you an example of the auto-rickshaw drivers in Chennai, where one of my students did a survey. The survey found that 40% of their income goes into drinking. If you were to ask why they are doing that, the answer is “my body hurts and I want something to stop the hurt”. You are in an auto-rickshaw 12 hours a day. Your body is bouncing. Your bones are hitting against each other. At that point you want something.  I understand that alcohol is not the best possible relief. But whenever we want to be judgemental of the poor, and whenever we don’t want to trust their judgement, the question for us is to ask first is what is it that makes them make that choice? Unless we ask that question we are often tempted to impose our own conditions on their lives.
  • We need to understand how difficult it is to be poor. That is the first fact to keep in mind. Every poor person is much more in control of his life than I am of mine. I don’t know how much my salary is. I don’t how much my pension is. I don’t know where my water comes from. I have automatic health insurance. I don’t have a choice. Most of my choices have been taken out of my life. In fact, wait, I don’t want those choices.
Coonoor Behal

Poverty Analysis - Data and Tools - 0 views

web.worldbank.org/...16618~theSitePK:430367,00.html

WorldBank tools data povertyassessment

shared by Coonoor Behal on 19 Nov 12 - No Cached
  • Coonoor Behal on 19 Nov 12
     
    World Bank reference for poverty data and tools.
Coonoor Behal

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.
Coonoor Behal

TANF Data and Documentation: Main Page (2000-2009) - 0 views

aspe.hhs.gov/...index.shtml

TANF data HHS

shared by Coonoor Behal on 15 Feb 13 - No Cached
  • Coonoor Behal on 15 Feb 13
     
    The TANF Typologies Database contains welfare policy variables, state economic and demographic variables, and the six key outcomes variables that they are hypothesized to affect. The database is no longer updated or maintained by the Urban Institute.
Coonoor Behal

Working Families Kept out of Poverty by the EITC and CTC by State, 2009-2011 - 0 views

www.taxcreditsforworkingfamilies.org/amilies-poverty-eitc-ctc-state

EITC ChildTaxCredit children data state taxcredit

shared by Coonoor Behal on 15 Feb 13 - No Cached
  • Coonoor Behal on 15 Feb 13
     
    State by state data included for EITC, Child Tax Credit, Child and Dependent Care Tax Credit, and Property Tax Circuit Breakers
Coonoor Behal

Responding to Data Analysis | Progress out of Poverty: Measuring Progress. Managing Res... - 0 views

progressoutofpoverty.org/responding-data-analysis

analysis povertyassessment tools

shared by Coonoor Behal on 19 Nov 12 - No Cached
  • Coonoor Behal on 19 Nov 12
     
    Is this what we want our tool to do?
Coonoor Behal

HUD finds program success in review sessions - FederalNewsRadio.com - 0 views

www.federalnewsradio.com/...ram-success-in-review-sessions

qual HUD HUDstat datasharing homelessness performance

shared by Coonoor Behal on 06 Feb 13 - No Cached
  • Coonoor Behal on 06 Feb 13
     
    Possible qual for data sharing agreements between agencies - could be our suggestion as a first step toward poverty-focused agencies working together.
Coonoor Behal

New America Interactive Poverty Map - 0 views

mapbox.com/...gallery

shared by Coonoor Behal on 19 Nov 12 - No Cached
  • Vetan Kapoor on 28 Nov 12
     
    tried to make something similar in tableau before my computer went bust last week. pretty easy to do with a solid data set so if we need to make map-based visuals it won't be too hard
Coonoor Behal

National Poverty Center | University of Michigan - 2 views

www.npc.umich.edu/poverty

povertystats seniors children alternatives EITC

shared by Coonoor Behal on 19 Nov 12 - No Cached
  • The methodology for calculating the thresholds was established in the mid-1960s and has not changed in the intervening years.
  • Money income does not include noncash benefits such as public housing, Medicaid, employer-provided health insurance and food stamps
  • The poverty rate for children has historically been somewhat higher than the overall poverty rate.
  • ...9 more annotations...
  • Since the late 1960s, the poverty rate for people over 65 has fallen dramatically.
  • The poverty rate for people in households headed by single women is significantly higher than the overall poverty rate.
  • In 2010, 19.9 percent of foreign-born residents lived in poverty, compared to 14.4 percent of residents born in the United States. Foreign-born, non-citizens had an even higher incidence of poverty, at a rate of 26.7 percent.
  • Children represent a disproportionate share of the poor in the United States; they are 24 percent of the total population, but 36 percent of the poor population.
  • The official poverty measure has been criticized for not accounting for several factors that can affect a family's economic well-being and for not having been updated, except for inflation, for four decades. 
  • For example, while cash benefits from government assistance programs are included in a family's income when calculating the official poverty measure, benefits received in-kind such as food stamps, Medicare or Medicaid, employer provided health insurance, housing subsidies, and other social services are excluded.  Taxes that families pay and tax credits they receive such as the Earned Income Tax Credit (EITC) do not enter into the official poverty determination.
  • Additionally, the threshold value a family must earn to escape poverty was developed in the 1960s by combining emergency food budget data from the US Department of Agriculture with an estimate of what fraction of income families spend on food. Although the thresholds are adjusted each year for inflation, some analysts believe that these numbers no longer accurately reflect the minimal resources a family requires.
  • These alternative measures tend to show lower levels of poverty than the official measure in any year, but the timing of increases and decreases in the poverty rate is very similar across measures. This similarity suggests that, despite the criticism it receives, the official poverty measure provides a reliable indicator of changes in the poverty rate from year to year.
  • These alternative definitions tend to show higher levels of overall poverty than the official measures in any year, although the difference is usually less than one percentage point.
  • Coonoor Behal on 25 Nov 12
     
    Nuts that the only time the poverty threshold is lower is for single individuals age 65 and older. Seems like you'd have greater expenditures in your old age considering health care costs.
Vetan Kapoor

Notes from "Poverty in America" by John Iceland (2012) - 0 views

Poverty in America: A Handbook (John Iceland, 2012) Chapter 4: Characteristics of the Poverty Population * 22.4% of Americans were poor in 1959, 11.1% in 1973, and 12.5% in 2003 * 70% of impoveri...

notes povertytraits books stats

started by Vetan Kapoor on 22 Mar 13 no follow-up yet
Coonoor Behal

Involvement of TANF Applicants with Child Protective Services (July 2001) - 0 views

www.irp.wisc.edu/...dp122901.pdf

behaviors policy TANF children overlap data

shared by Coonoor Behal on 15 Feb 13 - No Cached
  • Coonoor Behal on 15 Feb 13
     
    This paper presents findings from an exploratory study of Temporary Assistance for Needy Families (TANF) applicants in Milwaukee County, Wisconsin. We examine the level of involvement of TANF applicants with the child welfare system both before and after their application for TANF assistance and inclusion in our study. We also present preliminary multivariate models of the hazard of our sample's CPS involvement with child protective services subsequent to their application for TANF. We find a high level of overlap between TANF and child welfare populations. We also find a set of correlates of CPS involvement after TANF application that are robust to a variety of model specifications. Although our findings are preliminary and further analyses based on longer-term follow-up of our sample will no doubt provide greater clarity, we believe that our findings to date provide food for thought for the designers and administrators of both TANF and child welfare programs.
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