econometrics
PulseAugur coverage of econometrics — every cluster mentioning econometrics across labs, papers, and developer communities, ranked by signal.
3 day(s) with sentiment data
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New research explores causal inference for unstructured data and treatments · 3 sources tracked
Three recent arXiv papers explore advanced techniques in causal inference, moving beyond traditional scalar outcomes and treatments. One paper introduces optimal transport as a foundational element for causal inference …
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Economists develop theoretical framework for pre-trained embeddings
Researchers have developed a theoretical framework for using pre-trained deep learning embeddings in econometrics, addressing challenges where models are trained on different datasets or tasks. The paper provides condit…
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New econometrics method tackles nonlinear AI exposure measurements
Researchers have developed a new statistical method for identifying latent regressors when observed measurements are nonlinear functions of the underlying variable. This technique is particularly useful in fields like e…
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New econometrics paper details fairness-accuracy frontier inference
This paper introduces a method for identifying and inferring the fairness-accuracy frontier, a concept crucial in econometrics. The proposed techniques allow for hypothesis testing and the construction of confidence set…
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Debiased ML: Neyman orthogonal score guides Riesz regression for better balancing
This paper proposes that balancing functions in debiased machine learning should originate from the Neyman orthogonal score, rather than solely relying on covariates. The authors argue that while covariate balancing is …
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Researchers propose new bootstrap methods for AI-generated labels in economics
A new paper from Timothy Christensen proposes a coupled-label bootstrap method to address biases in OLS estimators that arise when using AI/ML-generated labels as covariates in economic regressions. The research highlig…