Development and behavioral economics | Graduate student in Ag and Resource Economics at the University of Maryland | Formerly at World Bank, JPAL, and IPA
(1/N) Much of India still lives in its villages. Yet, everyday Indian policy rarely incorporates the voices of those who live in them.
We've spent the last few years trying to do something about that. Today, we want to introduce GRAMA. đ§”
gramagovernance.com/
Talk about a program at #scale - building sanitation infrastructure & enabling behavior change in a country of 1.4 BILLION. Did it work? @YaleRISE founder @mushfiq_econ & co-authors Urmila Chatterjee, Juan Munoz and @imansen2 carefully assemble multiple data sets to answer. 1/n
Empowerment programmes improve adolescent girlsâ educational and labour market outcomes; financial incentives are effective in reducing child marriage.
@rglenner discusses in a new @vox_dev video đș đ
voxdev.org/topic/health-educâŠ
Furthermore, we dig deeper with front line health and nutrition workers to uncover different world views wrt to the causes of stunting, constructed from unprimed reporting, and show that these are correlated with service delivery.
New working paper - Mind Over Matter in the Philippines : A Study of Key Stakeholders' Perceptions of Childhood Stunting - openknowledge.worldbank.org/âŠ
Helping Women in Kurdistan region of Iraq to Find Jobs goo.gl/ND24nr via @WorldBank Promising insights from our work on job search led by our very own @zeina_afif and @imansen2#WB_eMBeD
I've been getting used to gganimate and thought it would be useful to put together some illustrations of what various causal inference methods *actually do to data* and how they work. Here, for example, is what it means to control for a (binary) variable
Perfect for your next class reading list/Friday procrastination/or quick advice - I've updated our master Curated List of Our Postings on Technical Topics â Your One-Stop Shop for Methodology tinyurl.com/yazbwfq7
Thanks @markus_gold for this much needed conversation. Having worked a bit on both sides, my takeaway is to not to assume a survey firm knows a lot (i.e outsource completely) or too little (override everything), the key is to find the right level of collaboration each time.
How can machine learning and artificial intelligence be used in development interventions and impact evaluations? My take on last week's #SmartDev2018 conference tinyurl.com/ybkzjxh2
MLAs colluded to unfairly award rural road building contracts worth Rs 3592 cr, or 4% of Pradhan Mantri Gram Sadak Yojana total spending between 2001 & 2013, says Princeton University study. bit.ly/2CCMbio
Great piece by Prof. Seema Jayachandran (@seema_econ) on the #economicsurvey18 analysis of the 21 million âunwanted girls.â The focus on sex ratio of last child instead of sex ratio per se was inspired by her terrific research. indianexpress.com/article/opâŠ
Across countries girls do better in reading.
In maths, boys are better than girls in less gender-equal cultures.
In more gender-equal cultures, the reading gender gap becomes even larger.
And the math gender gap disappears.
[Guiso et al. in âScience': kellogg.northwestern.edu/facâŠ]