Toru Kitagawa Source Confirmed

Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.

Associate Professor

John Brown University

faculty

15 h-index 127 pubs 1,276 cited

Research Areas

Advanced Causal Inference Techniques Monetary Policy and Economic Impact Statistical Methods and Inference Health Systems, Economic Evaluations, Quality of Life Advanced Statistical Methods and Models

Links

ORCID

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OverviewAI-generated summary

Toru Kitagawa is an Associate Professor at John Brown University whose research encompasses advanced causal inference techniques and their applications to economics and health systems. He is particularly interested in monetary policy's economic impact, employing sophisticated statistical methods and models in his investigations. His work extends to health, with a focus on economic evaluations and quality of life assessments. Recent publications demonstrate Kitagawa's engagement with contemporary challenges in statistical inference, including robust Bayesian inference for set-identified models and constrained classification for policy learning. He also explores social learning dynamics and individualized vaccine allocation strategies within network models.

Metrics

  • h-index: 15
  • Publications: 127
  • Citations: 1,276

Selected Publications

  • Dynamic Targeting: Experimental Evidence from Energy Rebate Programs (2024) DOI
  • Partially identified heteroskedastic SVARs (2024) DOI
  • Choosing Who Chooses: Selection-Driven Targeting in Energy Rebate Programs (2022) DOI
  • Choosing Who Chooses: Selection-Driven Targeting in Energy Rebate Programs (2022) DOI
  • Locally- But Not Globally-Identified SVARs (2022) DOI
  • Inference for Losers (2022) DOI
  • Narrative Restrictions and Proxies (2022) DOI
  • The Value of Piped Water and Sewers: Evidence from 19th Century Chicago (2022) DOI

Collaborators

Researchers in the database who share publications

Matthew A. Turner John Brown University 1 shared publication

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