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#econometrics

1 post1 participant0 posts today
Dennis Alexis Valin Dittrich

Dealing with Censored Earnings in Register Data d.repec.org/n?u=RePEc:hal:jour
"… In many register #data worldwide a relevant part of earnings and wealth is top-coded (right-censored), , can severely undermine its usefulness. For instance, how can #inequality and top earnings be credibly studied if the right tail of the earnings distribution is missing? Taking a distributional approach that is based on the semi-parametric modelling of the right tail being Pareto-like, we show how the missing tail can be successfully estimated using the administrative censored data.
… The presented distributional approach should not be confused with individuallevel imputations of #censoredData. The latter requires, in addition to the Pareto parameter, the assignment of a rank of to each censored observation. Due to the censoring, these ranks are unobserved… "
#Econometrics #PublicStatistics #economics

MinmiTheDino

What are people’s fave methods for this situation:

At t0, all units are untreated.

As time goes on, individual units are one by one selected for treatment, on an expert’s assessment of their potential improvement under treatment.

How to measure the treatment effect, either over all units or ideally the treatment effect on each unit?

Oh, for extra fun, they’re probably not independent

#Statistics#CausalInference#Econometrics
Universität Innsbruck

Using #statistics 📊 to improve insights into #childHealth: researchers have estimated the extent to which children in sub-Saharan Africa and South Asia are affected by #anemia. Previously, such data was only available for individual countries. #publicHealth #econometrics #dataScience #openAccess

uibk.ac.at/en/newsroom/2025/hi

www.uibk.ac.atHigh-Resolution Estimates of Anemia in Children in Low- and Middle-income CountriesChildren living in poverty often suffer from anemia, a condition linked to serious health risks. A research team led by statistical experts from the University of Innsbruck has now provided high-resolution estimates of anemia prevalence among children in sub-Saharan Africa and South Asia. Their model-based analysis draws on a dataset comprising around 750,000 observations from 37 countries.
Dennis Alexis Valin Dittrich

Large Language Models: An Applied Econometric Framework d.repec.org/n?u=RePEc:arx:pape
"Altogether our results suggest that the excitement around the empirical uses of LLMs is warranted, provided researchers guard against training leakage by using open-source LLMs in prediction problems and collect benchmark data in estimation problems."

An earlier abstract read: "The only way to ensure no training leakage is to use open-source LLMs with documented training data and published weights. The only way to deal with #LLM measurement error is to collect validation data and model the error structure. A corollary is that if such conditions can't be met for a candidate LLM application, our strong advice is: don't."
#Econometrics #ML #AI #economics

Dennis Alexis Valin Dittrich

If Applied #Econometrics Were Easy, #LLMs Could Do It! econometricsense.blogspot.com/
"All those things that #AI may be able to do are only the things regression needs, but to get where we need to go, to understand why, we need way more than what AI can currently provide. We need #thinking. So even for a basic regression, depending on our goals, the thinking required is currently and may always be beyond the capabilities of AI."

"Statisticians do not in general exactly agree on how to analyze anything but the simplest of problems. The fact that statistical inference uses mathematics does not imply that there is only one reasonable or useful way to conduct an analysis. Engineers use math as well, but there are many ways to build a bridge."

"… when you are not the one making the decision and it looks like the machine is doing it, there is someone who is actually making that decision for you...and I think that we have been complacent and we have allowed our technology to be faceless....how will we hold them accountable....for wisdom...thinking is our responsibility"
#accountability #statistics #decisionMaking

econometricsense.blogspot.comIf Applied Econometrics Were Easy, LLMs Could Do It!Summary Can AI do applied econometrics and causal inference? Can LLMs pick up on the nuances and social norms that dictate so many of the de...
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Stefano Zacchiroli

New #paper out: « The impact of the #COVID19 pandemic on women’s contribution to public code » (Empir. Softw. Eng. 30(1): 25 (2025)) where we establish, using #econometrics techniques and relying on the @swheritage archive, that the pandemic disproportionately impacted women's ability to contribute to the development of public code, relatively to men. #Openaccess preprint at: hal.science/hal-04716803/

With A. Casanueva, D.Rossi, and @Zimm_i48

hal.scienceThe Impact of the COVID-19 Pandemic on Women's Contribution to Public CodeDespite its promise of openness and inclusiveness, the development of free and open source software (FOSS) remains significantly unbalanced in terms of gender representation among contributors. To assist open source project maintainers and communities in addressing this imbalance, it is crucial to understand the causes of this inequality. In this study, we aim to establish how the COVID-19 pandemic has influenced the ability of women to contribute to public code. To do so, we use the Software Heritage archive, which holds the largest dataset of commits to public code, and the difference in differences (DID) methodology from econometrics that enables the derivation of causality from historical data. Our findings show that the COVID-19 pandemic has disproportionately impacted women's ability to contribute to the development of public code, relatively to men. Further, our observations of specific contributor subgroups indicate that COVID-19 particularly affected women hobbyists, identified using contribution patterns and email address domains.
#SoftwareEngineering#opensource
R Consortium

The US Federal Reserve's FRB/US model is now available in R! 📊 Guest post by Andrea Luciani (Bank of Italy, Directorate General for Economics, Statistics and Research), maintainer of the #bimets package. Learn how to perform econometric exercises using #R.

🔗 r-consortium.org/posts/us-fede

r-consortium.orgThe U.S. Federal Reserve quarterly model in R – R Consortium
#Econometrics#FedEconomy#RStats
Replied in thread
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Dr. Jürgen Knödlseder

@jeanas I won’t leak the author, but my guess is that you can pick any #econometrics paper studying policy impact on CO2 emissions and you will find the same. Pick for example that one where you’ll find the following equation in the Supplementary Information: science.org/doi/10.1126/scienc

Without logarithms the equation would make sense, with logarithms it’s just bullshit.

The author also pointed out that Bayer and Aklin (2020, PNAS) use the same methodology.

Ingo Rohlfing

The Great Divide (btw applied and theoretical #econometrics )
dlm-econometrics.blogspot.com/
I can't say anything about it wrt econometrics, but found it interesting on a general level. For me, the question that came up was about the uptake of new methods, qualitative or quantitative 1/

dlm-econometrics.blogspot.comThe Great DivideI applaud the fact that the American Economic Association, the European Economic Association, the Econometric Society, and the Royal Economi...
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