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econ.EM2026
Econometrics with Pre-Trained Embeddings for Unstructured Data
Yuya Shimizu
Unstructured data, such as images and text, are increasingly used in empirical economics. Since training machine-learning models on unstructured data is costly, economists often us…
econ.EM2025
Design-Based and Network Sampling-Based Uncertainties in Network Experiments
Kensuke Sakamoto, Yuya Shimizu
Ordinary least squares (OLS) estimators are widely used in network experiments to estimate spillover effects. We study the causal interpretation of, and inference for the OLS estim…
econ.EM2024
Nonparametric Regression under Cluster Sampling
Yuya Shimizu
This paper develops a general asymptotic theory for nonparametric kernel regression in the presence of cluster dependence. We examine nonparametric density estimation, Nadaraya-Wat…