On Cluster Robust Models

May 1, 2019·
Dr. José Bayoán Santiago Calderón
Dr. José Bayoán Santiago Calderón
· 0 min read
Abstract
This dissertation studies cluster-robust models for estimating parameters under treatment-effect heterogeneity. It examines estimator performance and practical approaches for evaluating and improving cluster structures, with empirical examples designed to support applied researchers.
Type
Publication
CGU Theses & Dissertations
Status
Open access
publications
Dr. José Bayoán Santiago Calderón
Authors
Research Economist

José Bayoán Santiago Calderón is a senior research economist in the national economic accounts research group at the U.S. Bureau of Economic Analysis. Before joining the federal statistical system, Dr. Santiago Calderón had years of experience in the private sector as a research scientist at various companies. Bayoán also held academic appointments with the Biocomplexity Institute and Initiative at the University of Virginia, where he started his career in public service.

His research has centered on improving decision-making. His transdisciplinary research approach has enabled him to routinely collaborate across disciplines and develop a diverse set of domain knowledge and methodological toolset. He also participates in various open-source software communities (e.g., JuliaLang) and civic activism (e.g., Code4PR, Mentes Puertorriqueñas en Accion).

In his non professional life, Bayoán enjoys spoiling his dog (Sadaharu), playing video games, watching TV, reading manga, and programming.

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