Skip Ribbon Commands
Skip to main content
Help (new window)
Sign In

Washington University in St Louis Olin Business School

Olin Business SchoolOlin Business School

Business Economics Curriculum

PHASE ONE - FIRST YEAR

Curriculum

Research

Milestones

Math Camp

(Held in August prior to first semester)

Fall

Spring

Core Foundations

Core Foundations

Microeconomics I*
Quant. Methods I
Quant. Methods II
Macroeconomics I
(9 credits)

Microeconomics II*
Macroeconomics II
Econometrics
(9 credits)


Econ Courses

Econ Courses

Olin courses
(3 credits opt.)

Olin courses
(3-6 credits)

Attend ECON & CRES Seminars

Begin Research Collaborations

First-Year Summer Paper

Papers are due at the end of the first summer prior to beginning second-year course work.

Micro Econ Prelim Exam

The theory examinations will concentrate on applications of the theory. Students must receive Distinction or a PhD "Pass" to continue in the PhD program. One retake of the theory examinations is permitted. Theory examinations are given in late June. Retake exams are scheduled in August.

PHASE TWO - SECOND YEAR

Curriculum

Research

Milestones

Communication Course

Fall

Spring

Elective Foundation Courses

Elective Foundation Courses

(3-6 credits)

(3-6 credits)

Econ Courses

Econ Courses

(3-6 credits)

(3-6 credits)

RA/TA Orientation (held in August)

Attend ECON & CRES Seminars

Second-Year Summer Paper

Papers are due at the end of the first summer prior to beginning second-year course work.

Qualifying Exam

400 RA/TA Hours

PHASE THREE - THIRD & FOURTH YEARS

Curriculum

Research

Milestones

Teaching Workshop
Communication Course

Fall

Spring

Independent Course Study & Elective ECON Courses

Independent Course Study & Elective ECON Courses

(6-9 credits)

(6-9 credits)

Attend ECON & CRES Seminars

Paper Presentations

Dissertation Research

Conference Attendance

Proposal or Dissertation

Students must be able to assemble a committee for the proposal of their dissertation and submit a Title, Scope, and Procedure Form as the committee's approval of the proposed dissertation by the end of their fourth year.

400-500 RA/TA Hours

PHASE FOUR - FIFTH YEAR

Curriculum

Research

Milestones

TA or Class Facilitation

Fall

Spring

Dissertation

Dissertation

(6 credits)

(6 credits)

Attend ECON & CRES Seminars

Dissertation Research

Conference Presentations

Job Market

Oral Defense of Dissertation

Intent to Graduate

400 RA/TA Hours

*As part of this requirement, students must take final exam.

Business Economic Courses

MEC 625 Industrial Organization I

Starting from the 1970s, an increasing number of economic theorists have become interested in Industrial Organization. Non-cooperative game theory became the standard tool to analyze strategic conflicts and it lent itself naturally to the analysis of industrial organization topics (until then, the tools of general equilibrium analysis were not ideal to tackle the same issues). The course aims to give you a concise but solid background of the classical results in IO theory, and then to highlight some very recent contributions to the same literature. We will give particular attention to the topics that are complementary to empirical analysis.

Since IO theory has become increasingly formal in the last years, familiarity with the theoretical game tools covered in the first year Micro sequence is essential. The best reference for theoretical game tools is the book A Course in Game Theory by M.Osborne and A.Rubinstein (1994) (Game Theory by D.Fudenberg and J.Tirole is also good). To avoid wasting time going over the most basic materials, you should at least have read the relevant parts of the Tirole book before class.

MEC 626 Industrial Organization II

The course focuses on research methods in empirical industrial organization. Every week, we will cover 1-2 recent empirical papers centered on a particular area of Industrial Organization. We will discuss in detail the research question, relevant theories, sources of identification, data, estimation techniques, and economic significance. There is no textbook.

B54 MEC 660 Bayesian Inferences

The purpose of this course is to provide a comprehensive, wide-ranging exposure to Bayesian inferential methods. Students are expected to complete an individual (non-group) project in which the techniques developed in the course are applied to a problem of research importance. The course should be valuable for a variety of graduate students including those with primary interest in economics, statistics, econometrics, finance, marketing, operations, accounting, political science, and biostatistics.

B54 MEC 661 Analysis of Time Series Data

B54 MEC 670Seminar in Econometrics I

B54 MEC 680 Analysis of Panel Data

B54 MEC 690 Game Theory I

B54 MEC 691 Information Economics

B54 MEC 648 Independent Study in Economics

Internship must be arranged by the student and approved by the advising faculty member. An outline of objectives must be submitted to the PhD Office prior to enrollment. May be taken a maximum of five (5) times for credit. Credit, variable; fifteen (15) credits combined total.

B54 MEC 699 Directed Readings in Managerial Economics

A program of readings developed by and with the approval of one or more members of the Economics faculty. Prerequisite, approval of the Director of the PhD program. Credit, variable. May be taken up to two (2) times for credit; six (6) credits combined total.

Other Courses

MGT 600A Teaching Business

The course is designed to assist doctoral students help themselves advance their teaching capabilities. The format will include in-class discussions, group work, creating an "out-of-class" video, creating a video of an "in-class" session, presenting to the class, and constructively critiquing the work of others.

B53 MGT 601 Doctoral Prep: University Teaching

Two (2) credits are required for the PhD students must provide an Olin Professor 30 hours of assistance in the teaching function; includes, but is not limited to, conducting help sessions, grading, developing lectures or exams. Maximum of eight (8) credits allowed. Hours performed during this course do not count towards RA/TA requirements. Credits will count towards teaching requirement of the Graduate School of Arts & Science.

B53 MGT 605 Research Internship

Three (3) credits are required for the PhD. Under the direction of a faculty member, students will work (and be graded) on their own research project. This requirement will be completed when students are at candidacy and preparing a dissertation proposal. Internship must be arranged by the student and approved by the advising faculty member. An outline of objectives must be submitted to the PhD Office prior to enrollment. An additional nine (9) credits may be taken; maximum of twelve (12) credits allowed.

B53 MGT 606 Economics of the Organization

This seminar reviews and discusses research in organizational economics, the field that overlaps many other fields in economics, such as industrial organization, contract theory, labor economics, corporate finance, etc. Students are expected to learn how to build a simple model to explain facts and how to formulate research questions based on implications from models.

B53 MGT 607A Teaching Presentation Skill Workshop

This course focuses on developing presentation skills for the classroom and for conference papers. Students will deliver three presentations and write a summary performance evaluation. This course is required for all students prior to graduation in compliance with the teaching requirement governed by the Graduate School of Arts & Science.

B53 MGT 610 Dissertation

Maximum of twelve (12) credits allowed, six (6) per semester. Prerequisite: submission of Title, Scope, and Procedure Form and successful Proposal of dissertation.

B53 MGT 620 Empirical Methods in Business

The objectives of this course are to train PhD students in different business disciplines to understand how to use data to address research questions, how to build econometric models that can be applied to data, and how to estimate the econometric models using some statistical packages. This course emphasizes on empirical data handling and estimation issues. Prerequisites: students are expected to have basic statistical knowledge such as random variables and distributions, tests of statistical hypothesis, basic linear regression and maximum likelihood estimation.

Core Foundation Courses

L11 Econ 501 Macroeconomics I

The first of a two semester sequence on graduate macro theory. The focus is on determination of aggregate income, employment, and prices with emphasis on static theory and the microfoundations of macroeconomics, including consumption and investment behavior, static models of income and price determination, problems of unemployment and inflation, and alternative theories of the roles of fiscal and monetary policy.

L11 Econ 502 Macroeconomics II

The second in a two-semester sequence on graduate macro theory. Dynamic problems are emphasized, particularly stability analysis, formal models of the business cycle, the role of macroeconomic policy in dynamic and stochastic models, and models of economic growth.

L11 Econ 503 Microeconomics I

The first of a two-semester graduate sequence in microeconomic theory. The courses cover the determination of relative prices and quantities exchanged of final products and factors of production. The first semester considers production and costs, supply of output and demand for inputs, demands for final products, market organization, time and capital. Fall.

L11 Econ 504 Microeconomics II

The second of a two-semester graduate sequence in microeconomic theory. The second semester considers the further development of individual consumer behavior, aggregated demand, general equilibrium analysis, Leontief models, consumer's surplus analysis, social choice, and expected utility analysis. Spring.

L11 Econ 511 Quantitative Methods in Economics I

Study of those topics of mathematics of special usefulness in economic research. Selection and ordering of topics will vary with level of student preparation but will usually include the following: vectors, matrices, lines mappings; their manipulation and elementary properties; elementary topology, and elements of multidimensional calculus. Fall.

L11 Econ 512 Quantitative Methods in Economics II

Introduction to mathematical statistics designed to provide a background for the study of econometrics. Selection of topics will usually include: probability, introduction to distribution theory, including limiting distributions and distributions of quadratic terms, Bayes Theorem, and hypothesis testing. 3 class hours a week. Fall.

L11 Econ 513 Introduction to Econometrics

Classical multiple regression analysis and an introduction to generalizations useful in empirical research in economics, including a framework for dealing with problems of multicollinearity, specification error, heteroskedasticity, serial and contemporaneous correlation, identification and consistent estimation in simultaneous equation models. Spring, odd years.

L11 Econ 516 Applied Econometrics

Introduction to econometrics as it is applied in microeconomics and macroeconomics (modular). Topics related to the analysis of microeconomic data include maximum likelihood estimation and hypothesis testing; cross-section and panel data linear models and robust inference; models for discrete choice; truncation, censoring and sample selection models; and models for event counts and duration data. Topics related to the analysis of macroeconomic data include basic linear and nonlinear time series models; practical issues with likelihood-based inference; forecasting; structural identification based on timing restrictions and heteroskedasticity; and computational methods for hypothesis testing and model comparison. Prerequisite: Econ 512. Spring, even years.

Course descriptions represent courses offered recently. Not all courses are offered every semester, and it is important to check with Olin Business School prior to scheduling classes to determine course availability for any given semester. Olin Business School reserves the right to make changes in the course offerings\ and descriptions.