6 papers
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…
Genetic Algorithm for Inferring Model Parameters for Flux Transport Dynamo Simulation
Yuya Shimizu, Hideyuki Hotta
The Sun exhibits an 11-year cyclic variation, maintained by dynamo action in the solar interior. Mean-field flux transport dynamo models have successfully reproduced most of the fe…
Testing Inequalities Linear in Nuisance Parameters
Gregory Fletcher Cox, Xiaoxia Shi, Yuya Shimizu
This paper proposes a new test for inequalities that are linear in possibly partially identified nuisance parameters. This type of hypothesis arises in a broad set of problems, inc…
Optimal testing in a class of nonregular models
Yuya Shimizu, Taisuke Otsu
This paper studies optimal hypothesis testing for nonregular econometric models with parameter-dependent support. We consider both one-sided and two-sided hypothesis testing and de…
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…
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…