A empirical look at research issues on individual choice behavior. Lectures discusses modeling and estimation issues pertaining to one stream of empirical research on choice behavior. Topics include brand choice, unobserved heterogeneity, state dependence, purchase incidence, purchase quantity, store choice, market structure, aggregation, empirical industrial organization and dynamic choice. A scanner panel database, as well as a number of estimation codes written by the instructor in the Gauss programming language, is available for students to build on and run their econometric analyses. The focus is mainly on recent, "state-of-the-art" papers although the perspective of older, "classic" papers is provided as and when appropriate. Frequentist (likelihood-based) inference is used for most part, and Bayesian inference is discussed as and when necessary.
Prerequisites: Graduate-level introductory courses in Statistics and Econometrics. Normally offered in the fall of odd numbered years.
Contemporary Research in Analytical & Empirical Models, MKT B55-670
A survey of existing research in analytical and empirical models in marketing. Analytical models focus on modeling the strategic decisions of a focal firm. Looks at decision making in both monopoly and competitive settings, models to forecast demand and models to understand and predict strategic decision making in product positioning, pricing, promotion, advertising and sales force allocation. The course covers empirical models that test hypotheses, quantify strategic effects and offer metrics and measurements of the effect of marketing variables on firms' payoffs.
Prerequisites: Masters-level proficiency in micro economics, calculus, game theory and optimization methods would be assumed or permission of the instructor is required. Normally offered in the fall of even numbered years.
Analytical Modeling in Marketing, MKT B55-673
Provides an overview of analytical models in marketing as well as an in-depth discussion of game theory topics frequently used in Economics and Marketing literature. Consists roughly of two parts. The first part helps students to achieve understanding, justification, and intuition for the commonly-used equilibrium concepts and ideas in game theory, such as Nash, Bayesian Nash, and Markov-perfect equilibria, and sub-game perfection. The second studies how these concepts have been used in the current business and economics literature.
Judgment and Decision Making, MKT B55-674
Examines selected research pertinent to consumer and managerial decision making in marketing. The framework used is grounded in behavioral decision research. Students examine the classic works on judgment and decision making, and then focus on some more contemporary issues. These issues include, a critique of biased decision making, mental accounting/budgeting of expenditure, time management, excessive choice and trade-off difficulty The primary course objectives are to: Provide a selective but intensive exposure to research in key substantive and methodological issues in the area of judgment and decision making. Synthesize a framework for understanding both the normative and descriptive principles that may govern consumer and managerial decision behavior in marketing contexts. Develop a critical perspective that enables students to identify opportunities for theoretical advances, methodological innovations and relevant applications in this genre of research in marketing. Equip students to conceptualize, design and implement original research on consumer and managerial decision making issues in marketing.
|
Courses/Seminars |
Goals/Objectives |
| First Year, Summer |
Math Review
|
Prepare for the first year econ and stat courses
|
| First Year, Fall |
Quantitative Methods in Economics I and II (Econ 511 and 512), Microeconomics I (Econ 503)
Audit Marketing Management MKT 5500 (waived with a prior MBA)
Audit PhD. Seminar in marketing MKT670
Attend all marketing workshops
|
Learn analytical tools, research methods, problem solving skills and exposure to research in marketing
|
| First Year, Spring |
Microeconomics II (Econ 504)
Introduction to Econometrics (Econ 513)
Bayesian Econometrics (Econ 515)
Ph.D. seminar in marketing
|
Build on the repertoire of the skill set already acquired; learn empirical models and estimation techniques
Develop a deeper understanding of research process in marketing
|
| Second Year, Summer |
Pass qualifying core exam
Begin work on second-year paper
|
Demonstrate competency in core disciplines
Demonstrate critical understanding of existing research
Crystallize interesting problem(s) for future research
Develop research skills by participating with faculty on research project(s)
|
| Second Year, Fall |
Random Variables and Stochastic Process (SSM 570 or ESE 521)
Economics of I/O (Econ 555)
Seminar in Econometrics (MEC 670)
Ph.D. seminar in marketing (MKT 670)
Continue to work on second year paper
Teaching/Research assistant
|
Continue to develop research skills by participating on research project(s) with faculty
Acquire more advanced tools and gain breadth on research issues in marketing
Participate in presenting papers
|
| Second Year, Spring |
Topics in Empirical I/O (Econ 5553)
Nonlinear Optimization (SSM 480) or equivalent
Ph.D. seminar in marketing
MBA level marketing elective courses
Teaching/Research assistant
Complete second year paper and submit for review by faculty
|
Continue to develop research skills by participating on research project(s) with faculty
Acquire more advanced tools and gain breadth on research issues in marketing
Participate in presenting papers
|
| Second Year, Summer |
Revise and refine second year paper
Prepare for Marketing Comprehensive Exam
|
Pass the marketing comprehensive exam, an important milestone
Develop the ability to adopt suggestions and accept criticism and improve on your research
|
| Third Year, Fall |
Pass Marketing Comprehensive Exam
|
Demonstrate your knowledge of existing research in the area of marketing and your ability to extend this research
|
| Third Year and Beyond |
Based on availability take Game theory (MEC 690), Analysis of Panel Data (MEC 680), Information Economics (MEC 691)
Attend Career preparation and communication workshops
Refine and revise second year paper and submit to a top tier journal
Teaching/Research assistant
Start working on at least two new research projects
Defend thesis proposal
Defend thesis
Enter the job market by preparing a top notch job market paper
|
Continue to build your research skills
Develop the ability to think independently and successfully execute research projects
Develop 2-3 working papers that are potentially publishable
Acquire teaching and presentation skills
Seek opportunities to teach in Olin programs
Acquire interviewing and further refine research presentation skills
|
|