• About Kellogg
  • Programs
  • Faculty & Research
  • Admissions
  • News & Events
  • Support Kellogg
Wioletta Dziuda
Wioletta Dziuda

MANAGERIAL ECONOMICS & DECISION SCIENCES
Senior Lecturer/ Donald P. Jacobs Scholar

Print Overview
Professor Dziuda joined the faculty at the Kellogg School of Management in 2007. She graduated from Princeton University. Her research interests include game theory and in political economy. Professor Dziuda is currently working on portfolio allocations by mutual funds and dynamics of policy choices.

Areas of Expertise
Economic Theory
Game Theory
Information Economics
Microeconomics
Political Economy/Design
Print Vita
Education
PhD, 2008, Economics, Princeton University
Magister, 2000, Quantitative Methods and Information Systems, Warsaw School of Economics

Academic Positions
Assistant Professor, Kellogg School of Management, Northwestern University, 2007-present

Conference Presentations
Midwest Finance Association, Chicago, 3/06/2009
Transatlantic Theory Workshop, PSE, Paris, 9/10/2008
3rd World Congress of the Game Theory Society, Chicago, 7/13/2008
Warsaw International Economic Meeting, Warsaw, 6/01/2008
Econometric Society Winter Meetings, New Orleans, LA, 1/04/2008

 
Print Research
Research Interests
Microeconomic theory, game theory, communication games

Articles
Dziuda, Wioletta and Giovanni Mastrobuoni. 2009. The Euro Changeover and Its Effects on Price Transparency and Inflation. Journal of Money, Credit and Banking. 41(1): 101-129.
Working Papers
Dziuda, Wioletta and Antoine Loeper. 2009. Ongoing Negotiation with Endogenous Status Quo.
Dziuda, Wioletta. 2008. Strategic Argumentation.
Dziuda, Wioletta and Jordi Mondria. Asymmetric Information, Portfolio Managers and Home Bias.

 
Print Teaching
Teaching Interests
Statistics
Full-Time / Part-Time MBA
Statistical Methods For Management Decisions (DECS-434-0)

This course counts toward the following majors: Decision Sciences.

This sequel to DECS-433 extends the statistical techniques learned in that course to allow for the exploration of relationships between variables. Topics include one- and two-population hypothesis testing, correlation, simple and multiple regression analysis, and qualitative variables. The course also covers applications of the material and a number of case studies. Extensive use of spreadsheet statistical analysis software is required.