1/ Enjoyed seminar by @Susan_Athey at Georgetown yesterday presenting paper about the effects of contraceptive counseling + discounts in Cameroon, + an overview of process of running an adaptive RCT.
Short #EconTwitter 🧵 about the latter, for interested applied researchers
2/ (Not touching on the paper + findings itself - fascinating, but already very well-covered in the blogs by @BerkOzler12)
blogs.worldbank.org/impactevaluati…
blogs.worldbank.org/impactevaluati…
3/ High-level points: goal of an adaptive RCT is to automate process of refinement (run trial comparing multiple treatments to control; identify the best one; test it further; etc.) Designed to replace human time w/computing time as it runs
4/ But, extensive human time needed in planning (esp the 1st time!) In the planning phase, imp to identify: the length of the study; the data collection algorithm; the objective or loss function (what will the bandit algorithm optimize).
5/ Also important to think about the high-level goal of the trial: maximize benefits for a particular group? Conduct a particular test of policy or policies? (Normally, in our field trials, both goals are important, + we seek to balance both)
6/ The first phase (pilot phase) of the RCT itself will be a simple RCT, comparing treatments to control; but, over time, the bandit algorithm will gradually measure the effectiveness of treatment arms + assign more sample to better-performing arms (less to worse-performing)
7/ This will ⬇ the error bands around the former estimate (better-performing), but ⬆ them for the latter. A tempered Thompson algorithm will balance the goal of max welfare for those in the study, w/the goal of learning more about optimal policies.
8/ And then in the final “evaluation” phase, participants will be assigned to the learned “optimal” policy with a higher probability, in order to compare this to the control arm.
9/ This was a fascinating talk and made a compelling case for considering these trial designs, though clearly considerable methodological inv required the 1st time to do it well.
10/ Some more links: here is an interesting paper by @caria_stefano Gordon @maxkasy @simonrquinn Shami @t8el reporting on an adaptive experiment analyzing job search assistance for refugees
conference.nber.org/confer/2021/YS…
11/ (This, along w/Cameroon trial, are one of a few - or the only? - dev-country adaptive RCTs that have been completed, afaik.) Also an overview of adaptive experiments forthcoming in ECMA by Kasy and @ASautmann here
maxkasy.github.io/home/files/pap…
12/ As well as a dashboard to play with (using prev outcome data) here - something I look forward to doing.
maxkasy.shinyapps.io/exploration_sa…

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More from @leightjessica

Mar 17
1/ Was excited to see #EconTwitter interest in evidence on how policymakers use evidence

Follow-up 🧵. First as usual, I aim to be interdisciplinary, but can't be comprehensive; a bias toward econ in these threads. Adding links + cites always welcome.
2/ Second, bc I'm focusing mostly on econ, economists have a comp advantage in analyzing how policymakers use econ (as opposed to other types of knowledge). Hopefully other disciplines are working in parallel - we should def understand how policymakers work w/other evidence.
3/ Free research idea: an interdisciplinary team should run a study analyzing how policymakers respond to multiple forms of knowledge and analyze it interdisciplinarily. Would love to work on this myself!
Read 16 tweets
Mar 15
1/ Wanted to do an #EconTwitter 🧵 on a new + important topic that's growing in the literature: rigorous evidence about how policy-makers use + respond to evidence! Most of these papers are very recent, many still WP
2/ One published in AER 2021 by @HjortJ @dianamoreira_sb Rao and Santini; an experiment w.mayors of 2,150 Brazilian municipalities; they find mayors are WTP for evidence, and update priors upon receipt; value large samples more, but not dev country studies
aeaweb.org/articles?id=10…
3/ Relatedly, they show that mayors briefed on the effectiveness of one policy (tax reminder letters) are 10 pp more likely to adopt it Image
Read 17 tweets
Jan 27
Caught up on this recent NBER WP on labor productivity growth and industrialization in Africa by McMillan and @AlbertZeufack
nber.org/papers/w29570
Offers a very useful overview of trends in manufacturing and structural transformation in SSA; worth quick 🧵 #EconTwitter
The paper uses a range of data sources, but the first is the Economic Transformation Database (ETD) including 18 SSA countries that allows for estimation of value added per worker across countries.
Estimates show that labor productivity growth has been 2.5% in SSA since 2000; this is mostly driven by shift of workers from ag to non-ag (i.e., structural transformation). Minimal contribution of within-sector productivity growth. Image
Read 10 tweets
Jan 18
Flyouts are starting, so here’s a quick 🧵 on advice for introverts like me. One of the challenging parts of the jm is high social interaction, possibly made more difficult if you have constraints (familial, locational) that you want to keep private at first. #EconTwitter
As to strategy for disclosures – I’ll let others speak to that, other than to say I agree you should always be truthful, but you can choose not to reveal certain things. But that can add stress, making it even harder to chat comfortably.
So, a few quick thoughts (more on the side of the non-econ part of the discussions, not the research part.) Come prepared with a few topics that are of broad interest. Hobbies? Books? Movies? Food tastes? All good. Don’t force it, of course.
Read 9 tweets
Jun 25, 2021
As new PhD students start to look forward to their first year, short 🧵 on challenges in collaboration in grad school (and its potentially gendered dimensions).
Many people advise grad students to rely on their classmates: first in coursework, later on projects / as coauthors.
I endorse that advice! But it can also be hard to follow. I attended two grad programs (MPhil and PhD) and had similar experiences in both. There were large, energetic, overlapping-networks problem set groups that formed quickly.
They were mostly dominated by men (unsurprisingly; econ grad programs are mostly dominated by men) and, to describe it neutrally, had a fast-paced style. Always an introvert who was becoming more so, I was uncomfortable and anxious about trying to participate.
Read 13 tweets
Jun 24, 2021
Enjoyed the presentation by @elianalaferrara today at World Bank DIME of work joint with Baumgartner, Rosa-Dias, Breza and my awesome coauthor Victor Orozco: evidence around a peer education program targeting early sexual activity teen pregnancy in Brazil.
The authors have a fascinating evaluation comparing a peer educator program with three alternate selection mechanisms for educators (school-driven; selection via peer nomination of popularity; selection by centrality in a formally mapped network) to a control arm.
In general, the peer education program is very effective: ⬆️ knowledge and communication around sexuality, contraceptive use; ⬇️ teen pregnancy. The peer educators chosen by schools (the default method), however, were generally ineffective!
Read 6 tweets

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