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Found 3 papers, 1 papers with code
Marginal Causal Flows for Validation and Inference
Investigating the marginal causal effect of an intervention on an outcome from complex data remains challenging due to the inflexibility of employed models and the lack of complexity in causal benchmark datasets, which often fail to reproduce intricate real-world data patterns.
Inference for Regression with Variables Generated by AI or Machine Learning
It has become common practice for researchers to use AI-powered information retrieval algorithms or other machine learning methods to estimate variables of economic interest, then use these estimates as covariates in a regression model.
Hamiltonian Monte Carlo for Regression with High-Dimensional Categorical Data
Latent variable models are increasingly used in economics for high-dimensional categorical data like text and surveys.
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