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PHASE ONE - FIRST YEAR
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Math Camp
(Held in August prior to 1st semester)
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Fall
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Spring
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Core Foundations
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Core Foundations
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Microeconomics I
Quant. Methods I
Quant. Methods II
Macroeconomics I
(9 credits)
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Microeconomics II
Macroeconomics II
Econometrics
(9 credits)
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Econ Courses
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Econ Courses
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Olin courses
(3 credits opt.)
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Olin courses
(3-6 credits)
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Attend ECON & CRES Seminars
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Begin Research Collaborations
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First-Year Summer Paper
Papers are due at the end of the first summer prior to beginning second-year course work.
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Micro Econ Prelim Exam
The theory examinations will concentrate on applications of the theory. Students must receive Distinction or a Ph.D. Pass to continue in the Ph.D. Program. One retake of the theory examinations is permitted. Theory examinations are given in late June. Retake exams are scheduled in August.
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PHASE TWO - SECOND YEAR
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Communication Course
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Fall
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Spring
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Elective Foundation Courses
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Elective Foundation Courses
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(3-6 credits)
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(3-6 credits)
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Econ Courses
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Econ Courses
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(3-6 credits)
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(3-6 credits)
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RA/TA Orientation (held in August)
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Attend ECON & CRES Seminars
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Second-Year Summer Paper
Papers are due at the end of the first summer prior to beginning second-year course work.
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Qualifying Exam
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400 RA/TA Hours |
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PHASE THREE - THIRD & FOURTH YEARS
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Teaching Workshop
Communication Course
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Attend ECON & CRES Seminars
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Paper Presentations
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Dissertation Research
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Conference Attendance
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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.
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400-500 RA/TA Hours |
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PHASE FOUR - FIFTH YEAR
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TA or Class Facilitation
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Fall
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Spring
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Dissertation
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Dissertation
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(6 credits)
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(6 credits)
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Attend ECON & CRES Seminars
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Dissertation Research
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Conference Presentations
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Job Market
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Oral Defense of Dissertation
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Intent to Graduate
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400 RA/TA Hours
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MEC 625 Industrial Organization I
Starting from the 1970s, an increasing number of economic theorists have been becoming interested in Industrial Organization. This is because non-cooperative game theory became the standard tool to analyze strategic conflicts and it lent itself naturally to the analysis of industrial organization topics (while 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 to then 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. In particular circumstances, I might cover a specific tool useful for some results myself. 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 1week 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 text book.
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 if 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 670 Seminar 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 Ph.D. Program. Credit, variable. May be taken up to two (2) times for credit; six (6) credits combined total.
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 Ph.D. 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 Ph.D. 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 course is a seminar that 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 of 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 Ph.D. 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. Pre-requisites: 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.
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 yrs.
L11 Econ 5161 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 yrs.
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/descriptions.
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