iiinova — where your digital self keeps evolving

11/ A fun fact: I first met Sudhir at NEUDC 2023. After the first day of the conference, we went for drinks with other participants, and his phone ran out of battery — I lent him my charger. And just like that, our coauthorship began! We’re really glad it happened.

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10/ That’s all for today — thanks for stopping by! Our draft will be ready soon. All feedback is more than welcome!

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9/Our main message: Investments in higher education infrastructure can yield returns that extend well beyond labor market outcomes.

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8/Regarding social norms, the effects of college access even go beyond the household level. Women in treated districts have greater freedom 🕊️

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7/The second mechanism has two parts: social norms and empowerment. We first show that women were ⬆️ likely to report that domestic violence is unjustified, they have improvements in ownership and more participation in household decision-making.

6/ Women in treated districts ⬆️ 14.7 minutes more on paid employment work, ⬆️12 minutes on own-used production and ⬇️ 13 minutes on domestic tasks

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5/The next question is "Why that is the case?" We provide two sets of mechanisms: - Changes in Women's Time Allocation - Changes in Social norms and Empowerment

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4/Using RDD, we report that the college expansion program reduced the likelihood of domestic violence by about 4 percentage points (all type of violence). Interestingly, the effect is driven by the younger cohort, who are more likely to exposed to the program.

3/We show that the program indeed increased the number of colleges in treated districts and educational attainment of women rose as a result👩‍🎓👩‍🎓👩‍🎓

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2/We examine the effect of a college expansion program India since 2008. The program provided college construction grants to build new colleges in districts with lower gross enrollment ration than the national average (12.4).

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1/Education fights domestic violence—but how? We know some effects of compulsory schooling, yet the impact of higher education policies remains an open question.

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Grant McDermott @gmcd.bsky.social · 25/08/2025

I am very excited to share our new working paper "College Access and Domestic Violence". This is a joint work with Sudhir Singh from University of Rochester.

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Reposted by Ha Luong

To borrow another example, taken from the `dbreg` README: github.com/grantmcdermo... Here I am running a fixed-effects regression on 180 million(!) row parquet dataset... and it completes **< 2 seconds**... on my laptop 🤯 This is powered by @duckdb.org under the hood. #rstats #econsky

Running dbreg::dbreg() on a full year of NYC taxi data... and it takes less than 2 seconds.

dbreg(
tip_amount ~ fare_amount + passenger_count | month + vendor_name,
path = "read_parquet('nyc-taxi/**/*.parquet')", ## path to hive-partitioned dataset
vcov = "hc1"
)
#> [dbreg] Estimating compression ratio...
#> [dbreg] Data has 178,544,324 rows and 24 unique FE groups.
#> [dbreg] Using strategy: compress
#> [dbreg] Executing compress strategy SQL
#>
#> Compressed OLS estimation, Dep. Var.: tip_amount
#> Observations.: 178,544,324 (original) | 70,782 (compressed)
#> Standard Errors: Heteroskedasticity-robust
#> Estimate Std. Error t value Pr(>|t|)
#> fare_amount 0.106744 0.000068 1564.742 < 2.2e-16 ***
#> passenger_count -0.029086 0.000106 -273.866 < 2.2e-16 ***
#> ---
#> Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

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Ha Luong @luongthuha.bsky.social · 10/07/2025

An amazing workshop by my colleague Dan Rees at UC3M and Mark Anderson at Montana State. You will learn about how to write an applied paper, publication process, etc. If you are from low income countries, you only need to pay 1$. DM me for more info & to get the discounted fee!

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J-PAL North America @j-palna.bsky.social · 03/07/2025

Some states ban employers from asking job candidates their salary history, but candidates may voluntarily disclose them. In a randomized audit study @amandayagan.bsky.social @laurakgee.bsky.social, & Bo Cowgill explored how salary disclosures affect salary offers. www.aeaweb.org/articles?id=...

aeaweb.org

Salary History and Employer Demand: Evidence from a Two-Sided Audit

(July 2025) - We study how salary disclosures affect employer demand using a field experiment featuring hundreds of recruiters evaluating over 2,000 job applications. We randomize the presence of sala...

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Jessica Leight @leightjessica.bsky.social · 26/06/2025

This week's cool young researcher [late, post-conference edition!] #econtwitter #econsky is @luongthuha, currently post-doc @EconomicsUc3m who works on topics related to gender, development +health

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Reposted by Ha Luong

NBER @nber.org · 21/06/2025

Using data on 2.5 million great-grandchildren linked to great-grandfathers (1850–1940) to find strong economic persistence across 4 generations, from Zachary Ward, @kaseybuckles.bsky.social, and Joseph Price www.nber.org/papers/w33923

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NBER @nber.org · 21/06/2025

To help researchers navigate social desirability bias, this study assesses commonly-used approaches and offers practical guidance on selecting the most suitable tools for different contexts, from Bursztyn, Haaland, Röver, and Roth www.nber.org/papers/w33920

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Ha Luong @luongthuha.bsky.social · 20/06/2025

I have loved math since I was a child, but it was not until I started teaching that I realized how challenging—and rewarding—it can be. I'm glad that some students have found it helpful along the way.

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Raahil Madhok @raamadhok.bsky.social · 01/06/2025

🚨New @nber.org WP🚨 We use data on 42,000 households in #India to study how the agricultural sector copes w/ labour loss. As #farmers move to cities for higher wages, their left-behind families *don't* substitute with increased capital -- they downsize their farms. (1/2)

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Joshua Goodman @joshua-goodman.com · 11/06/2025

Re-upping my advice about how to write a good title and abstract for an academic paper, appropriately called: "How to Write a Title and Abstract" Feel free to share this thread, which will focus on titles. #EconSky #AcademicSky

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Jessica Leight @leightjessica.bsky.social · 10/06/2025

@luongthuha presents a fascinating pattern that the Juntos cash transfer program in Peru is associated with shifts in gender attitudes toward traditional gender norms, seemingly driven by maternal time allocation

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Ha Luong @luongthuha.bsky.social · 08/06/2025

Carlitos is making us believe that we should never ever give up. Vamos Carlitos 🇪🇸

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Ha Luong @luongthuha.bsky.social · 05/06/2025

An exciting lecture of @pedrosantanna.bsky.social in Madrid this morning, and we indeed are living in a fascinating time of DiD!

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Reposted by Ha Luong

Florian Ederer @florianederer.bsky.social · 04/06/2025

The #MeToo movement led to a 10% jump in sex crime reports and the effect lasted over 2 years. ✅ More reporting ✅ More arrests ❌ Not just more crimes ✅ Impact across race & income Social movements can change high-stakes behavior. papers.ssrn.com/sol3/papers....

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Florian Ederer @florianederer.bsky.social · 04/06/2025

Why do dictators target the socially isolated? 📢 New theory by @ksonin.bsky.social: Propaganda works best when people are either totally atomized or tightly unified rather than in between. 🎯 Optimal strategy? Don’t focus on influencers. Target the fringes of the network.

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Hans Henrik Sievertsen @hhsievertsen.bsky.social · 21/05/2025

In a new WP @pietrobiroli.bsky.social and coauthors combine an 🍕 time use survey with questions on 1. who is responsible for the organisation of household tasks Answer: women 1/N #EconSky

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UB School of Economics @ubeconomics.bsky.social · 03/06/2025

📚 #PhD Thesis "Essays on Gender Economics" defended by our #alumni Ha Luong on June 17, 2024, is available: f.mtr.cool/jqigknrnoq (Advisors: @juditvall.bsky.social| Lídia Farré). #EconSky #Economics #Research

f.mtr.cool

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Laura K Gee @laurakgee.bsky.social · 02/06/2025

Having a great day @uc3meconomics.bsky.social with @danielasola.bsky.social @luongthuha gorgeous day to talk economics with these smart people in Madrid

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Ha Luong @luongthuha.bsky.social · 03/06/2025

It was a great pleasure to meet you and learn about your interesting research. We wish to see you very soon!!

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NBER @nber.org · 30/05/2025

No impact is found for a monthly unconditional cash transfer on preregistered child development outcomes among 4 year olds among families with low income, from Noble, Magnuson, Duncan, Gennetian, Yoshikawa, Fox, Halpern-Meekin, Troller-Renfree, et al. www.nber.org/papers/w33844

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Ha Luong @luongthuha.bsky.social · 18/05/2025

It is still unpredictable in the first set. Still 1 set point for Alcaraz.

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VoxDev @voxdev.bsky.social · 14/05/2025

🆕 Teaching teachers to teach: Lessons from a large-scale coaching programme in rural Peru Juan F. Castro (Universidad del Pacífico), Paul Glewwe (University of Minnesota), Alexandra Heredia‐Mayo (IPA), Stephanie Majerowicz (Universidad de los Andes) & Ricardo Montero: voxdev.org/topic/educat...

voxdev.org

Teaching teachers to teach: Lessons from a large-scale coaching programme in rural Peru

Every year, developing countries spend considerable resources on training teachers—yet these efforts often prove unfruitful. New research from a large-scale, pedagogy-focused teacher coaching programm...

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Alice Evans @draliceevans.bsky.social · 10/05/2025

Hundreds of books have been written about India's resilient caste system. But if you read on Mauritius, Malaysia or the UK, caste weakens very rapidly among the diaspora, perhaps within two generations. Migration's transformative power is hugely under-appreciated.

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Andrew Gelman et al. @statmodeling.bsky.social · 07/05/2025

Misattribution (when someone claims you said something that you’ve never said)–it’s kind of like plagiarism in reverse. statmodeling.stat.columbia.edu/2025/05/07/m...

statmodeling.stat.columbia.edu

Misattribution (when someone claims you said something that you’ve never said)–it’s kind of like plagiarism in reverse. | Statistical Modeling, Causal Inference, and Social Science

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11) That's all for now. We sincerely appreciate all the feedback and comments from the #EconSky community. Thank you for stopping by and reading the entire thread!

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10) Policy Implications: To ensure equitable funding allocation, the following strategies could be considered: - Incentivizing research on female-dominated cancers - Promoting gender diversity on evaluation panels

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9) In summary, female-dominated cancers receive less funding than male-dominated cancers, likely due to the overrepresentation of male researchers and higher share of male evaluators on panels (over 50% from 2007 to 2023), rather than gender gaps in grants, research outputs, or disease burden.

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8) Another hypothesis is that male-dominated cancers may have a higher burden than female-dominated cancers, resulting in greater resource allocation. However, there is no clear evidence to support this hypothesis.

7) We test whether male-dominated cancers receive superior research outputs compared to female-dominated cancers. Our findings show that: - No difference in research outputs between them - ⬆️female evaluators in the panel ➡️ applicants with better research outputs.

6) We explore the role of researchers' gender and gender composition of evaluation panels. There are two key findings: - No association between researchers’ gender and funding outcomes - ⬆️female presentation in the panels ⬇️funding bias toward male-dominated projects

5) If men dominate cancer research, fewer researchers may focus on female-dominated cancers. Using the Publons platform, we compiled a list of cancer researchers in Europe and found that male researchers are over-represented, particularly in top ranks.