Measure the effect of a decision.
Applied quasi-experimental causal inference and machine learning to employee incentives, hiring practices, and the impact of talent selection tools.
Difference-in-differences · Matching · Random forests
RESEARCH RIGOR. BUSINESS INSIGHT.
I’m Jingze Jiang—a Full Professor of Economics and Quantitative Analysis at PennWest University and former Senior Manager in Quantitative Analysis/Data Science at Capital One. Through JingSaw, I help organizations evaluate what works, apply AI, and turn time-consuming processes into practical workflows.
FOUNDER & PRINCIPAL CONSULTANT · JINGSAW LLC
Causal inference
Applied machine learning
AI & workflow automation
01 / APPLIED EXPERIENCE
From enterprise people analytics to university reporting, my work connects rigorous methods with decisions and operations.
CAPITAL ONE · PEOPLE STRATEGY & ANALYTICS
Senior Manager, 2023–2024 · Manager, 2021–2023
I partnered with legal, risk management, and industrial-organizational psychology teams to define business hypotheses, develop analytical frameworks, and deliver insights to C-suite leaders.
Explore my experience on LinkedInApplied quasi-experimental causal inference and machine learning to employee incentives, hiring practices, and the impact of talent selection tools.
Difference-in-differences · Matching · Random forests
Built an analytical engine to streamline adverse-impact analysis across hiring, promotion, and termination, and led a team developing a talent metric system.
Developed monitoring strategies for a talent selection model and worked with the Model Risk Officer on model governance.
PENNWEST UNIVERSITY · ACCREDITATION AUTOMATION
110hours saved
per reporting cycle, across 34 classes
As the department’s ACBSP Data and Automation Architect, I built Python systems that cut accreditation reporting time by 110 hours per cycle. Standardized data procedures and faculty training supported the workflow.
For Middle States accreditation, I also created a Program Assessment Risk & Readiness Dashboard to help identify reporting challenges and prioritize support.
Explore workflow consulting at JingSaw02 / RESEARCH IN PRACTICE
I am the lead or solo author of every publication featured here. My research shows how I approach uncertainty, incentives, and trade-offs—and follow the evidence.
When does switching to biodegradable materials make economic sense? This research models the costs, incentives, and long-term consequences of agricultural plastic use.
The model shows how biodegradable mulches and economic incentives can reduce long-term plastic pollution—while accounting for production and disposal costs.
THE ANALYTICAL APPROACH
Model the trade-offsProduction, materials, and disposal
Account for uncertaintyPrivate and social perspectives
Evaluate incentivesHow policy changes the choice
Agricultural and Resource Economics Review
Jiang, Marsh & Belasco · 2025
MARKET RISK
2020The research examines how shocks in oil and stock markets spread to the energy pipeline sector—and evaluates a cross-hedging strategy.
Volatility transmission increased after the 2007–2008 financial crisis, underscoring the importance of changing market relationships.
Volatility analysis · Cross-hedging
CLIMATE & FINANCIAL RISK
2019A study of soybean prices and water equities examines how El Niño and La Niña change the relationships between markets.
La Niña strengthened the connection between these markets, with implications for how agricultural risk is managed.
Empirical analysis · Risk spillovers
BEHAVIOR & INCENTIVES
2016A model of reusable-bag reward programs examines how financial rewards and peer pressure influence participation.
The model shows how rewards can reduce plastic-bag use over time while increasing the participating stores’ profits.
Economic modeling · Consumer behavior
POLICY & BUSINESS EXPOSURE
2015Research connects the U.S. oil, corn, and plastics markets to investigate how policy affects prices and the transmission of risk.
The analysis identifies two-way volatility transmission between corn and plastics, and stronger corn–oil links following EISA 2007.
Econometrics · Price transmission
Newest first. Full titles, authors, publication details, and DOI links.
JOURNAL ARTICLE · OPEN ACCESS · LEAD AUTHOR
Jingze Jiang, Thomas L. Marsh & Eric Belasco
Agricultural and Resource Economics Review, 54(2), 495–523.
BOOK CHAPTER · LEAD AUTHOR
Jingze Jiang & Thomas L. Marsh
In Stéphane Goutte & Duc Khuong Nguyen (eds.), Handbook of Energy Finance: Theories, Practices and Simulations, chapter 12, 267–299. World Scientific.
JOURNAL ARTICLE · LEAD AUTHOR
Jingze Jiang & T. Randall Fortenbery
Applied Economics, 51(11), 1133–1150.
JOURNAL ARTICLE · SOLO AUTHOR
Jingze Jiang
Journal of Industry, Competition and Trade, 16(2), 155–190.
JOURNAL ARTICLE · LEAD AUTHOR
Jingze Jiang, Thomas L. Marsh & Peter R. Tozer
Energy Economics, 52, 217–227.
Jingze Jiang. Selected poster, Agricultural & Applied Economics Association annual meeting.
Jingze Jiang & Thomas L. Marsh. Related published chapter listed above (2020).
Jingze Jiang, Thomas L. Marsh & Peter R. Tozer. Related journal article listed above (2015).
03 / THE PERSON BEHIND THE WORK
I’m a Full Professor of Economics and Quantitative Analysis at PennWest University and the Founder & Principal Consultant of JingSaw LLC.
At JingSaw, my work includes AI-enabled consulting, workflow optimization, and helping small businesses adopt AI responsibly. I collaborate with organizations in higher education, e-commerce, and manufacturing, and consult for frontier AI labs on model performance.
My Ph.D. in Economics and M.S. in Statistics from Washington State University underpin that work: frame the question, examine the assumptions, and explain what the evidence means.
Teaching statistics, data analysis, and economics keeps clear communication at the center of my work.
YOUR NEXT STEP · JINGSAW LLC
Need to evaluate a decision, improve a workflow, or apply AI?
Explore my consulting practice at JingSaw.