jj.JINGZE JIANGPH.D. · ECONOMIST & DATA SCIENTIST

RESEARCH RIGOR. BUSINESS INSIGHT.

Turn complex data
into confident
decisions.

I’m Jingze Jiang—Full Professor of Economics and former Capital One Quantitative Leadership. Through JingSaw, I partner with leadership teams to evaluate strategic decisions, deploy applied AI, and automate high-stakes workflows.

Work with me at JingSaw See the research behind my work

01 / APPLIED EXPERIENCE

Enterprise experience.
Measurable impact.

From enterprise people analytics to university reporting, my work connects rigorous methods with decisions and operations.

CAPITAL ONE · PEOPLE STRATEGY & ANALYTICS

Senior Manager,
Quantitative Analysis / Data Science

Senior Manager, 2023–2024 · Manager, 2021–2023

Delivered insights to C-suite leaders, partnering with legal, risk management, and industrial-organizational psychology teams.

Explore my experience on LinkedIn
01

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

02

Make analytical work repeatable.

Built an analytical engine to streamline adverse-impact analysis across hiring, promotion, and termination, and led a team developing a talent metric system.

03

Put model governance into practice.

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

Give people back time
for work that matters.

Built Python systems for ACBSP accreditation reporting, supported by standardized data procedures and faculty training.

Also built a Middle States assessment dashboard to identify reporting gaps and prioritize support.

Explore workflow consulting at JingSaw

02 / RESEARCH IN PRACTICE

Hard questions.
Evidence that holds up.

I am the lead or solo author of every publication featured here. Economic modeling and empirical analysis of risk, incentives, and policy.

FEATURED RESEARCH · 2025JOURNAL FEATURED ARTICLELEAD AUTHOR

Make sustainability
an economic decision.

When does switching to biodegradable materials make economic sense? This research models the costs, incentives, and long-term consequences of agricultural plastic use.

THE FINDING

The model shows how biodegradable mulches and economic incentives can reduce long-term plastic pollution—while accounting for production and disposal costs.

Read the open-access study Why it was featured

THE ANALYTICAL APPROACH

01

Model the trade-offsProduction, materials, and disposal

02

Account for uncertaintyPrivate and social perspectives

03

Evaluate incentivesHow policy changes the choice

Agricultural and Resource Economics Review
Jiang, Marsh & Belasco · 2025

MARKET RISK

2020
LEAD AUTHOR

See how risk travels before it reaches your business.

THE FINDING

Oil and stock-market shocks spread to the energy pipeline sector. Volatility transmission increased after the 2007–2008 financial crisis.

Volatility analysis · Cross-hedging

Handbook of Energy FinanceRead study

BEHAVIOR & INCENTIVES

2016
SOLO AUTHOR

Design incentives around how people actually behave.

THE FINDING

A model of reusable-bag programs shows how rewards and peer pressure can reduce plastic-bag use while increasing participating stores’ profits.

Economic modeling · Consumer behavior

Journal of Industry, Competition and TradeRead study
More research in practice Climate risk & policy

CLIMATE & FINANCIAL RISK

2019
LEAD AUTHOR

Account for the weather in market risk.

THE FINDING

La Niña strengthened the connection between U.S. soybean prices and water equities, with implications for managing agricultural risk.

Empirical analysis · Risk spillovers

Applied EconomicsRead study

POLICY & BUSINESS EXPOSURE

2015
LEAD AUTHOR

Find the market connections that policy can change.

THE FINDING

The analysis identifies two-way volatility transmission between corn and plastics, and stronger corn–oil links following EISA 2007.

Econometrics · Price transmission

Energy EconomicsRead study
Explore the full publication record5 publications + conference research

Journal articles & book chapters

Newest first. Full titles, authors, publication details, and DOI links.

  1. 2025

    JOURNAL ARTICLE · OPEN ACCESS · LEAD AUTHOR

    Optimizing microplastic pollution in a terrestrial environment: a case for soil-biodegradable mulches

    Jingze Jiang, Thomas L. Marsh & Eric Belasco

    Agricultural and Resource Economics Review, 54(2), 495–523.

  2. 2020

    BOOK CHAPTER · LEAD AUTHOR

    Volatility Spillover Effects in the Oil and Financial Market: Cross-Hedging in the US Oil Market and the Energy Pipeline Sector

    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.

  3. 2019

    JOURNAL ARTICLE · LEAD AUTHOR

    El Niño and La Niña induced volatility spillover effects in the U.S. soybean and water equity markets

    Jingze Jiang & T. Randall Fortenbery

    Applied Economics, 51(11), 1133–1150.

  4. 2016

    JOURNAL ARTICLE · SOLO AUTHOR

    Peer Pressure in Voluntary Environmental Programs: a Case of the Bag Rewards Program

    Jingze Jiang

    Journal of Industry, Competition and Trade, 16(2), 155–190.

  5. 2015

    JOURNAL ARTICLE · LEAD AUTHOR

    Policy induced price volatility transmission: Linking the U.S. crude oil, corn and plastics markets

    Jingze Jiang, Thomas L. Marsh & Peter R. Tozer

    Energy Economics, 52, 217–227.

Conference research & earlier versions
View citation records on RePEc

03 / THE PERSON BEHIND THE WORK

Research rigor. Enterprise experience.

Full Professor of Economics and Quantitative Analysis at PennWest University. Founder & Principal Consultant of JingSaw LLC.

Economics Rigor

Ph.D. in Economics. M.S. in Statistics. A foundation for framing questions, testing assumptions, and following the evidence.

Explore my research

Enterprise Execution

Causal inference, repeatable analytics, and model governance—experience connecting technical work to executive decisions at Capital One.

See industry experience
LinkedIn Teaching & mentorship

YOUR NEXT STEP · JINGSAW LLC

Bring your hardest
business question.

Need to evaluate a decision, improve a workflow, or apply AI?
Explore my consulting practice at JingSaw.

Work with me at JingSaw VISIT WWW.JINGSAW.COMAcademic collaboration? Email me