iiinova — where your digital self keeps evolving

Reposted by Jisang Yu

ArXiv Paperboy (Stat.ME+Econ.EM) @paperposterbot.bsky.social · 22/01/2024

Standard Errors for Calibrated Parameters arxiv.org/abs/2109.08109 Calibration, the practice of choosing the parameters of a structural model to match certain empirical moments, can be viewed as minimum distance estimation. Existing standard error formulas for such estimators require a con 📈🤖

001

Reposted by Jisang Yu

Ariel Ortiz-Bobea @arielob.bsky.social · 22/01/2024

One general piece of advice I give students who are coding their first project: 1- write code like you are writing for someone else (cause you are). 2- write code like you’ll have to do many (many!) small variations to your code down the road.

352

Reposted by Jisang Yu

ArXiv Paperboy (Stat.ME+Econ.EM) @paperposterbot.bsky.social · 21/01/2024

CATE Lasso: Conditional Average Treatment Effect Estimation with High-Dimensional Linear Regression arxiv.org/abs/2310.16819 In causal inference about two treatments, Conditional Average Treatment Effects (CATEs) play an important role as a quantity representing an individualized causal ef 📈🤖

011

Reposted by Jisang Yu

Ken Caldeira @kencaldeira.com · 14/01/2024

"Very few people have died of starvation with money in their pockets," Caldeira wrote to Salon. "Climate change hits hardest those with empty pockets." www.salon.com/2024/01/12/n...

salon.com

"Nobody and nowhere will be safe": Experts say we can't hide from climate change

In the movies, heroes can outrun the apocalypse. But in the real world there's no exit from the climate crisis

143

Reposted by Jisang Yu

ArXiv Paperboy (Stat.ME+Econ.EM) @paperposterbot.bsky.social · 12/01/2024

Long Story Short: Omitted Variable Bias in Causal Machine Learning arxiv.org/abs/2112.13398 We derive general, yet simple, sharp bounds on the size of the omitted variable bias for a broad class of causal parameters that can be identified as linear functionals of the conditional expectatio 📈🤖

011

Reposted by Jisang Yu

StataTex Blog @statatexblog.com · 07/01/2024

Great explainer for Diff-in-Diff applications by Jonathan Roth, Pedro Sant’Anna, Alyssa Bilinski and John Poe: www.jonathandroth.com/assets/files... #EconSky 📉📈

jonathandroth.com

0107

Reposted by Jisang Yu

ArXiv Paperboy (Stat.ME+Econ.EM) @paperposterbot.bsky.social · 06/01/2024

Machine Learning for Staggered Difference-in-Differences and Dynamic Treatment Effect Heterogeneity arxiv.org/abs/2310.11962 We combine two recently proposed nonparametric difference-in-differences methods, extending them to enable the examination of treatment effect heterogeneity in the s 📈🤖

001

Reposted by Jisang Yu

ArXiv Paperboy (Stat.ME+Econ.EM) @paperposterbot.bsky.social · 07/01/2024

Hamiltonian Dynamics of Bayesian Inference Formalised by Arc Hamiltonian Systems arxiv.org/abs/2310.07680 This paper makes two theoretical contributions. First, we establish a novel class of Hamiltonian systems, called arc Hamiltonian systems, for saddle Hamiltonian functions over infinite 📈🤖

001

Reposted by Jisang Yu

ArXiv Paperboy (Stat.ME+Econ.EM) @paperposterbot.bsky.social · 04/01/2024

Enhancing Scalability in Bayesian Nonparametric Factor Analysis of Spatiotemporal Data arxiv.org/abs/2312.05802 This manuscript puts forward novel practicable spatiotemporal Bayesian factor analysis frameworks computationally feasible for moderate to large data. Our models exhibit signific 📈🤖

001

Reposted by Jisang Yu

Bryan Parthum @bryanparthum.bsky.social · 03/01/2024

New paper out in Nature Climate Change today where we develop the first direct estimates of the social costs of hydrofluorocarbons (SC-HFCs) and the large climate benefits associated with global agreements that phase down their production and consumption www.nature.com/articles/s41558-023-…

3126

Reposted by Jisang Yu

Matt Malis @mattmalis.bsky.social · 29/12/2023

Polisky: I’m thinking about using one week (total 3hr class time) at the end of my undergrad econometrics class as an intro to ML/AI, with the intended takeaway being “ML/AI is accessible and not scary given what you learned this semester”. What specific methods/applications would you include?

462

Jisang Yu @jisangyu.bsky.social · 29/12/2023

Yes! Feel free to reach out if you have any questions on the special issue.

010

Jisang Yu @jisangyu.bsky.social · 29/12/2023

I am an agricultural economist who works on various applied economic issues related to agriculture, farm policy, climate change and international development. Most of my publications and their replication packages are at sites.google.com/view/jisangy...

030