Doctoral Studies

• QST DS 904: Statistics and Econometrics for Doctoral Students in Business
  Examines the use of statistical tools for data analysis at an advanced level and prepares students for future study in econometrics. Introduces theoretical foundations for estimation and discusses practical approaches to econometric specifications. Topics include distributions and random variables, inference, estimators, testing, ordinary linear regression, panel data, IV, and censored variables.
• QST DS 906: Fundamentals of Research and the Philosophies of Science (previously MK912)
  This course introduces students to research. The class provides a brief introduction to the philosophy of science and debates about the nature of theory before diving thoroughly into different research methods. Students are exposed to research methods from their own and adjacent fields ranging from causal inference and experiments to qualitative research methods. The last part of the class introduces students to issues around diversity, ethics, and equity in research. As part of the class students will complete the introductory ethics modules that are required by the university. Students will be graded on their class participation, a research proposal which is due at the end of the class, and their feedback to other students on their research proposals.
• QST DS 911: Seminar in Macro Organizational Theory
  This doctoral-level course is an introduction to the major theoretical approaches and ongoing debates in organizational theory, an inter- disciplinary subject area that draws on several traditions, including economics, political science, psychology, and sociology. Organization theory aims to explain the origins, persistence, and disappearance of the organizations that are central to our society and daily life (e.g., firms, markets, governments, occupations, non-profit organizations, and more). We will start with the classics and then trace the history of ideas as the field has evolved to its present state. The purpose of this course is to provide a roadmap to navigate the terrain of organizational theory and guide students as they generate original research ideas. (Cross-listed as GRS SO716).
• QST DS 913: Experimental Design and Methods
  This course provides an introduction to research methodology applicable to marketing and other related fields. The course will survey the major research methodologies used in marketing and social psychology, and will focus on both theoretical and practical considerations of research methods. This is not a statistics course (though an introduction to basic principles is part of the course). The purpose of the course is to give students the background to choose the methods that are most appropriate for their area of study, helping them to anticipate the shortcomings and problems they will encounter executing their chosen methodologies, and to defend their methodological choices against criticism in their interactions with investigators from allied and not-so-allied disciplines.
• QST DS 921: Behavioral Science Writing Seminar
  BEHVL SCI WRTNG
• QST DS 925: Methods for Causal Inference in Strategy Research
  (Formerly SI 915) This course reviews tools and methods for drawing causal inferences from non-experimental data. The class emphasizes conceptual difficulties associated with establishing causality in observational settings, the strengths and weaknesses of statistical methods based on so-called natural experiments, and the practical problems that arise in the application of these tools. This course is designed to complement a traditional two-semester graduate sequence in econometrics.
• QST DS 929: Analytical Modeling for Business Research
  This course is designed to provide doctoral students in a business school with an introduction to analytical models so that they can access the theoretical literature and potentially develop new models for their own research. The course will introduce basic concepts in game theory (e.g., Nash Equilibrium, Perfect Bayesian Equilibrium) and classic models in industrial organization (e.g., pricing, distribution, competition, product differentiation, advertising) and behavioral economics (e.g., prospect theory, hyperbolic discounting). Students need to be comfortable with calculus and basic probability theory.
• QST DS 999: Doctoral Dissertation Study
  This 2-credit course is a requirement to maintain doctoral student status during the completion of your Comprehensive Exam, Dissertation Proposal Defense and ultimately, Dissertation Defense. Each department has its own section which are as follows: Accounting (A1); Finance/Economics (B1); Information Systems (C1); Strategy and Innovation (D1); Marketing (E1); Operations and Technology Management (F1); Management & Organizations (G1); and Mathematical Finance (M1).