Valuing the U.S. Data Economy Using Machine Learning and Online Job Postings (IARIW)

Aug 24, 2022·
Dr. José Bayoán Santiago Calderón
Dr. José Bayoán Santiago Calderón
,
Dylan G. Rassier
· 0 min read
Abstract
This talk presents machine-learning-based occupation time-use factors from online job advertisements to estimate U.S. own-account data investment and stocks, and discusses implications for expanding national account production boundaries.
Date
Aug 24, 2022 11:00 AM — 12:30 PM
Event
Location

Luxembourg

events
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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