A portfolio of peer-reviewed research and technical publications spanning computational economics, predictive modeling, and large-scale data systems. Each publication demonstrates expertise in quantitative analysis, production-grade modeling, and translating complex technical work into high-impact business and policy insights.
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Publication Impact
✅ 10+ technical publications and research outputs ✅ Direct influence on multi-billion dollar decisions ✅ Domains: Energy markets, trade simulation, behavioral analytics ✅ Production systems serving executive stakeholders
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Peer-Reviewed Research: Computational Economics
Options for ASEAN Trade Expansion: Within, Plus Three or Six, European Union or the United States?
Authors: Beckman, J., Munisamy, G., and Daugherty, K.
Published: October 10, 2020 | The World Economy
Built and deployed a large-scale CGE simulation engine to model trade policy scenarios across ASEAN nations, quantifying multi-billion dollar economic impacts. Implemented elasticity-based trade flow models and tariff reduction scenarios at scale.
Technical Stack: R, GTAP, Computable General Equilibrium Modeling, Monte Carlo Simulation, Large-Scale Data Integration
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Research: Causal Inference & Behavioral Analytics
Terror alerts and Major League Baseball attendance: Differences by demographic groups
Author: Daugherty, Kamron
Published: 2015 | California State University, Fullerton
Designed and executed causal inference pipeline analyzing consumer behavior shifts in response to exogenous risk events. Built fixed effects panel regression framework with 25+ engineered demographic interaction features across 11,413 observations (2002–2006). Delivered statistically significant evidence of heterogeneous treatment effects, with attendance swings up to 20%—translating to millions in revenue impact.
Technical Stack: Stata, Fixed Effects Panel Regression, Causal Inference, Feature Engineering, Multi-Source Data Integration
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U.S. Energy Information Administration (EIA) — Lead production engineer for time-series forecasting infrastructure and author of technical analyses covering global energy markets, petroleum supply dynamics, and LNG trade flows. Work directly informed billions of dollars in investment decisions and national energy policy.
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| Title | Date | Description | Tools & Methods |
|---|---|---|---|
| Country Analysis Briefs: Caspian Sea, France, Mexico, Norway, and Türkiye | Feb 2025, Oct 2023, Mar 2023, Jul 2024, Jul 2023 | Comprehensive reports analyzing energy production, consumption, infrastructure, and trade for key global energy markets. | EViews, R, Python, Excel, Power BI, Time-Series Forecasting |
| Petroleum production in Mexico stabilizes after years of decline | March 2023 | Data-driven analysis of Mexico's petroleum production trends, identifying stabilization after prolonged decline. | EViews, R, Python, Excel, Power BI |
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USDA Economic Research Service (ERS) & Foreign Agricultural Service (FAS) — Owned end-to-end production analytics systems for quarterly trade forecasting. Built automated ETL pipelines, managed large-scale trade databases, and deployed predictive models serving executive stakeholders. Work directly supported multi-billion dollar commodity market decisions.
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| Title | Authors | Date | Description | Tools & Methods |
|---|---|---|---|---|
| Outlook for U.S. Agricultural Trade (AES-107) | Daugherty, K., & Jiang, H. | February 2019 | Quarterly economic outlook analyzing U.S. agricultural exports and imports, trade balances, and market conditions. | R, SQL, Stata, Tableau, Excel, Forecasting Models |
| Outlook for U.S. Agricultural Trade (AES-108) | Daugherty, K., & Jiang, H. | May 2019 | Quarterly economic outlook analyzing U.S. agricultural exports and imports, trade balances, and market conditions. | R, SQL, Stata, Tableau, Excel, Forecasting Models |
| Outlook for U.S. Agricultural Trade (AES-109) | Daugherty, K., & Jiang, H. | August 2019 | Quarterly economic outlook analyzing U.S. agricultural exports and imports, trade balances, and market conditions. | R, SQL, Stata, Tableau, Excel, Forecasting Models |
| Agricultural Statistics | National Agricultural Statistics Service | 2019 | Produced data for Chapter 15.1 to 15.8 of the annual Agricultural Statistics publication. | Excel, SAS, Data Quality Assurance |
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USDA Economic Research Service (ERS) — Co-architected large-scale econometric simulation systems projecting food insecurity across 76 countries over 10-year horizons. Built multi-source data integration pipelines, deployed partial equilibrium models, and ran extensive scenario analyses for strategic policy planning.
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| Title | Authors | Date | Description | Tools & Methods |
|---|---|---|---|---|
| International Food Security Assessment, 2018-2028 (GFA-29) | Thome, K., Meade, B., Daugherty, K., and Christensen, C. | June 2018 | 10-year projection of food security across 76 low and middle-income countries. Analyzed food availability, access, and utilization using econometric models. | R, SQL, Stata, Econometric Modeling, Scenario Analysis |
| International Food Security Assessment, 2019-2029 (GFA-30) | Thome, K., Smith, M.D., Daugherty, K., Rada, N., Christensen, C., and Meade, B. | August 2019 | 10-year projection of food security across 76 low and middle-income countries. Analyzed food availability, access, and utilization using econometric models. | R, SQL, Stata, Econometric Modeling, Scenario Analysis |
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