New paper coauthored with @SMamunuru and @arjun_jayadev titled "Social networks and experiened inequality" published in JEBO https://t.co/a3bOW3cbhw Details in 🧵... 1/n

Understanding the economy is more than analysing data or building models. It is about seeing how policies, markets, and people’s lives are connected—and how economics can help create a more just and inclusive society. APPLY NOW: https://t.co/EJTQsrs1x0

Unemployment rate is the usual metric to understand the ‘wait’ for employment, but how long someone stays jobless also matters. A new CSE WP by Kannan examines what drives unemployment duration & its impact on re-employment earnings and job type. https://t.co/rxBcqmBwjE🧵(1/7)

Wonderful opportunity to work with and be mentored by @Chinmayak . Please apply!!

For those of you interested in International relations and diplomacy, my interview with Ambassador Ajay Bisaria @Ajaybis . Many insights on the current state of world affairs, India-Pakistan relations and his own journey as a diplomat. https://t.co/VJr1LQN1EW

In today’s Mint, @vidhyasrajan and I write about the steady rise in women-owned enterprises over the past 25 years. Informed by multiple data sources, we argue for a holistic approach to better support women entrepreneurs. Thread with key insights and charts 👇 (1/8)

Amazing work!! Have already gone through a few entries and am looking forward to reading all of them!

Very interesting and important work

Adoption alert for Achukutty--a cat who has been through a LOT. Please share widely and hoping there is someone out there who can give her a loving home :(

This is fantastic work by @dataforin @pramit_b!! May not grab headlines, but for those of us who work with data, this is great public service. How one village swung India's workforce numbers in 2022-23

We have openings for Research Associate positions. Students in the final year of their Master's can also consider applying. Details here: https://t.co/96tVuL4trk Last date for applications is 28th February.

Why are our malls so shiny and our roads so dirty? Apply to our MA Economics programme to take a multi-dimensional approach to questions such as this one. Last date to apply: Feb 2, 2025

Join our in-person session in Kolkata to learn more about the programmes we offer at our Bengaluru & Bhopal campuses. We will also hold an info session on our MA Economics programme. Tamoghna Halder, Economics faculty will be part of this session. Registration details in next twt

You will get to be part of designing and running a large primary survey, while also working with secondary data, including on your own projects. We have a collaborative environment with mentoring and support. Past econ post docs have moved on to faculty positions. Apply!

We @azimpremjiuniv are hiring a postdoc to work with me, Arjun Jayadev and others on the economics of higher education in India - looking at education quality, labour market outcomes, and other aspects. https://t.co/ipax4IhMeK

Next step... see what network level outcomes are affected by experienced inequality. So, if you work with network data, please use our index and see if something interesting pops up! n/n

Group homophily (or segregation): We prove that if within group inequality (wt avg) is higher that overall inequality then increased group homophily will increase exp inequality and vice versa. The data also bears it out (clearer in regressions). 8/n

Experienced inequality decreases with wealth homophily. This is easily proved, and we also see it in the data. 7/n

We denote the effect of the network on exp inequality as r=E/G. Using data from the microfinance study by Banerjee, Chandrasekhar, Duflo and Jacksom (2013) to show that this works in the way we expect. Relative networks experience less inequality than moneylending networks. 6/n

This has some interesting implications, like the violation of the Pigou-Dalton transfer principle. in the case of experienced inequality, an 'equalising' transfer i.e. a transfer from a richer to a poorer node, can actually increase overall experienced inequality. 5/n

So, two networks with exactly the same wealth distribution can have very different experienced inequality because of the network structure. 4/n