Eva Vivalt
@evavivalt.bsky.social
1.6K followers 340 following 230 posts
Assistant prof in economics at the University of Toronto, research on cash transfers and evidence-based decision-making, J-PAL affiliate. https://evavivalt.com/
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evavivalt.bsky.social
Those are my three favorite new plots in the revised paper. Follow for more updates as we continue to put out results about this exciting program.

And here is the full paper: evavivalt.com/wp-content/u... 17/17
evavivalt.com
evavivalt.bsky.social
But you can check out results from different years in the paper. 16/
evavivalt.bsky.social
Most people pointing to the pandemic seem to think effects would be better afterwards.

If anything, during the pandemic the effects on labor supply were more muted. 15/
evavivalt.bsky.social
Also, some people have wondered about whether results were driven by the COVID-19 pandemic. We can't make conclusive statements here, but it's important to note the majority of the negative labor supply effects only materialized late. 14/
evavivalt.bsky.social
Importantly, if the transfer were of a shorter duration or if we had followed participants for a shorter period of time, we might have come to very different conclusions! 13/
evavivalt.bsky.social
As you can see, the results show a clear time trend, with impacts on employment growing over time until near the end of the program, when the gap starts to close. 12/
evavivalt.bsky.social
3) We previously included quarterly regression results, but we obtained some updated administrative data and made some nicer plots. For example, here is an event study plot looking at employment status. 11/
evavivalt.bsky.social
Yes, there are some negative impacts on labor supply and income excluding the transfers. People also do stuff with that money.

This second new figure helps illustrate the overall effects - and what doesn't move. 10/
evavivalt.bsky.social
2) Zooming out a bit, what can we say about the broader effects of cash transfers?

Some people have focused on the negative effects of cash transfers on labor supply. Others have focused on the consumption the transfers have enabled. 9/
evavivalt.bsky.social
In any case, improving people's subjective well-being over the long term is hard. This isn't necessarily a fault of the intervention - it could be something about human nature or subjective well-being measures. 8/
evavivalt.bsky.social
Many experts expected the transfers - which represent 40% of baseline household income - to make a bigger difference. If participants thought similarly, they might be disappointed.

Treated participants may face unexpected challenges as they make life changes. 7/
evavivalt.bsky.social
But there are other things that could explain it.

For example, it's possible that those receiving the transfers are not doing as well in years 2-3 as they expected. 6/
evavivalt.bsky.social
When I saw these results, my first reaction was that we have good data to be able to pick up this pattern. 5/
evavivalt.bsky.social
This might be surprising, but there is a large literature on "hedonic adaptation" and that could be part of what is happening here. People who win the lottery, for example, often revert to baseline levels of happiness.

Many positive shocks only temporarily improve well-being. 4/
evavivalt.bsky.social
Here, we measure subjective well-being in several different ways: a measure of life satisfaction, an index of satisfaction across several domains, and a measure of "affect balance" (SPANE).

All show the same trend. 3/
evavivalt.bsky.social
Previously, we found similar effects on stress and psychological distress (Miller et al. 2024): declines in stress in year 1 that do not persist. 2/
evavivalt.bsky.social
We've updated a paper on the 3-year, $1000/month U.S. guaranteed income study.

New results, in 3 figures: 🧵

1) Subjective well-being significantly improved in the treatment group in year 1, but there were no significant differences between the treatment & control group after that. 1/
evavivalt.bsky.social
Nice quote! One of the reasons for the Social Science Prediction Platform. A few of the cash transfer evaluations (including our own) collected ex ante forecasts there. @sdellavi.bsky.social
Reposted by Eva Vivalt
jasonfurman.bsky.social
I don’t think I have ever publicly criticized any Presidential nominee before.

But E.J. Antoni is completely unqualified to be BLS Commissioner. He is an extreme partisan and does not have any relevant expertise.

He would be a break from decades of nonpartisan technocrats.
evavivalt.bsky.social
Evidence for cash transfers is more positive for children is in LMIC countries. But the "it's just one study" framing here is misleading.
evavivalt.bsky.social
Okay, now that I've used it for some work on forecasting, I have to say this is a fantastic tool! We will be changing some things in our paper as a result. Highly recommended!
bengolub.bsky.social
I've been working on a new tool, Refine, to make scholars more productive. If you're interested in being among the very first to try the beta, please read on.

Refine leverages the best current AI models to draw your attention to potential errors and clarity issues in research paper drafts.

1/
evavivalt.bsky.social
Giving a seminar today at the World Bank's Strategic Impact Evaluation Fund, pulling together insights from three papers on the evidence-to-policy pipeline! Excited to engage with this group.
evavivalt.bsky.social
Niche, but did you know there is a TTC shop? This is such a perfect fit for my interests (maps, public transit, puzzles) that I have to share. Probably other transit systems make them, too?
evavivalt.bsky.social
The people I know on Baby's First Years are quite open about their findings, fwiw.