LabCompass

Justin L. Tobias

Social Sciences · Purdue University West Lafayette

OpenAlex
Established · publishing since 1998
School Choice and PerformanceStatistical Methods and InferenceForecasting Techniques and ApplicationsMonetary Policy and Economic ImpactAdvanced Causal Inference Techniques

Publications

137

Citations

2,629

Est. group size

—

Recurring co-author estimate

Active years

28

Publishing since 1998

Research summary
AI-generated

Justin L. Tobias works in econometrics, focusing on Bayesian statistical methods for analyzing economic and social science data. His work includes developing techniques for regression analysis, quantile regression, and nonparametric/semiparametric modeling, much of it consolidated in a major textbook on Bayesian econometric methods. This research supports empirical work in economics and related social sciences by providing statistical tools for estimation, prediction, and model comparison.

Bayesian econometricsStatistical methods and inferenceNonparametric and semiparametric regressionTime series and volatility modelingCausal inference techniques

Publication output has been uneven over the last decade, with a large concentration of works in 2019 (likely tied to a book project) followed by sparse activity in most other years and a slight recent uptick in 2024-2025.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026

Publication cadence
Publications per year over the last 10 years — averaging 1.0/year recently
2017: 1 publication17182019: 26 publications2619202021: 1 publication2122232024: 2 publications242025: 3 publications2526
Recent publications
Publishes in
  • Cambridge University Press eBooks×22
  • Mathematics×1
  • Wiley Interdisciplinary Reviews Computational Statistics×1
  • Journal of Econometrics×1
  • SSRN Electronic Journal×1
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This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.

Last updated Jul 20, 2026.

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