Spring 2016
Course Listings (PHD)
= Cancelled |
= New Class Added |
= Professor Change |
= Rescheduled (day/time change) |
Accounting/Taxation
-
Course Description:
"Analytical Research in Accounting: Information, Contracts, and Corporate Governance" Course Description: This course explores analytical models in the accounting literature. The main focus is on contract theory with applications to accounting. Analytical research design issues are emphasized and emerging research questions identified. The class mixes lectures with student presentations. Pre-requisites: Ph.D. level microeconomics or permission of the instructor.
Section |
Meeting Times |
Dates |
Instructor |
Notes |
20 |
|
02/01-05/09 |
Baldenius,T |
PhD students only |
-
ACCT-GB.4310 Empirical Research in Financial Accounting II (3)
Course Description:
This seminar is a continuation of Empirical Research in Financial Accounting I (B10.4301), with an emphasis on contemporary issues in accounting research. The goal of this course is to further your process of becoming an empirical researcher capable of identifying interesting, cutting edge, important and researchable topics in financial accounting and finance, in general. In each class we will ask (1) what is (are) the research questions, (2) how original are the research questions, (3) how did the authors empirically test the research questions, (4) are there any alternative explanations to their findings, and (5) how, if any, the papers could be improved. A variety of topics will be covered. Amongst these topics, will be an investigation of corporate governance and regulatory issues.
Section |
Meeting Times |
Dates |
Instructor |
Notes |
20 |
|
02/01-05/09 |
Klein,A |
PhD students only |
Economics
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ECON-GB.3332 Advanced Topics in Macroeconomics (Macroeconomics II) (3)
Course Description:
This course is intended for Ph.D. students who already have substantial prior preparation in dynamic macroeconomics. The objective is to talk about research and potential dissertation topics. Most of the topics fall under the general description of dynamic general equilibrium theory. In recent years, the topics have included financial markets and the growth of firms; optimal monetary policy; dynamic contracting; asset pricing; business cycles; and labor markets. Students are expected to present their own work at the end of the course.
Section |
Meeting Times |
Dates |
Instructor |
Notes |
20 |
W
09:00 am
- 12:00 pm
|
02/03-05/04 |
Clementi,G |
PhD students only |
-
Course Description:
This course is intended to develop the toolbox of PhD students intending to pursue research in strategy (or other business related fields). It focuses on the set of tools that are provided by the discipline of economics, hence a focus on models of oligopoly and contract theory, and a focus on empirical tools such as the measurement and identification of treatment effects and causal inference.
Section |
Meeting Times |
Dates |
Instructor |
Notes |
20 |
R
1:45 pm
- 3:45 pm
|
02/04-05/05 |
Moser,P |
PhD students only |
Finance
-
Course Description:
We shall study the main models of behavioral economics and finance. We will discuss the empirical evidence, but we emphasize the models&especially the novel, promising approaches, rather than a review of past successes. Topics will include: bounded rationality, inattention, imperfect understanding of probabilities, narrow framing, sparse dynamic programming, and more specialized finance models: limits of arbitrage, loss aversion in stock trading, under and over reaction, extrapolation and categorical thinking.
Section |
Meeting Times |
Dates |
Instructor |
Notes |
20 |
W
3:00 pm
- 5:45 pm
|
02/03-03/23 |
Gabaix,X |
PhD students only |
-
Course Description:
This is the third course in the theory of financial decision making. The first half of this course deals with issues in corporate finance. Topics include agency theory, signaling and asymmetric information models, taxes, dividends, and capital structure. The second half of the course focuses on the pricing of options, futures, and other derivative securities instruments.
Section |
Meeting Times |
Dates |
Instructor |
Notes |
20 |
M
3:00 pm
- 5:45 pm
|
02/01-05/09 |
Gabaix,X/Schnabl,P |
PhD students only |
-
Course Description:
The class covers advanced topics on the interaction of macroeconomics, monetary economics, banking, and international finance. The first half of the class (section 1 and 2) will cover the most important building blocks of macro-finance. The second half of the class will discuss topics for ongoing and future research.
Section |
Meeting Times |
Dates |
Instructor |
Notes |
20 |
R
09:00 am
- 12:00 pm
|
02/04-05/05 |
Philippon,T |
PhD students only |
For more courses that count toward Finance click here.
Information Systems
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Course Description:
This course introduces students to scientific paradigms and research perspectives related to the economics of information technologies. Topics in 2012 include information goods, piracy, digital rights management, network economics, sponsored search auctions, user-generated content, contagion in networks, technological innovation, IT productivity, the digital commons and online privacy.
Section |
Meeting Times |
Dates |
Instructor |
Notes |
20 |
M
2:00 pm
- 5:00 pm
|
02/01-05/09 |
Sundararajan,A |
PhD students only |
Interarea
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Course Description:
This is an intermediate level, Ph.D. course in the area of Applied Econometrics dealing with Panel Data. The range of topics covered in the course will span a large part of econometrics generally, though we are particularly interested in those techniques as they are adapted to the analysis of 'panel' or 'longitudinal' data sets. Topics to be studied include specification, estimation, and inference in the context of models that include individual (firm, person, etc.) effects. We will begin with a development of the standard linear regression model, then extend it to panel data settings involving 'fixed' and 'random' effects. The asymptotic distribution theory necessary for analysis of generalized linear and nonlinear models will be reviewed or developed as we proceed.. We will then turn to instrumental variables, maximum likelihood, generalized method of moments (GMM), and two step estimation methods. The linear model will be extended to dynamic models and recently developed GMM and instrumental variables techniques. The classical methods of maximum likelihood and GMM and Bayesian methods, expecially MCMC techniques, are applied to models with individual effects. The last third of the course will focus on nonlinear models. Theoretical developments will focus on heterogeneity in models including random parameter variation, latent class (finite mixture) and 'mixed' and hierarchical models. We will also visit the theory for techniques for optimization in the setting of nonlinear models. We will consider numerous applications from the literature, including static and dynamic regression models, heterogeneous parameters models (e.g., Fama-Macbeth), random parameter variation, and specific nonlinear models such as binary and multinomial choice and models for count data.
Section |
Meeting Times |
Dates |
Instructor |
Notes |
20 |
TR
12:30 pm
- 2:00 pm
|
02/02-05/05 |
Greene,W |
PhD students only |
Management and Organizations
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MGMT-GB.3182 Organizational Behavior Advanced PhD Seminar (1.5)
Course Description:
In the field of organization science, much has been written about levels of analysis-individual, group, and organization. In between individual and group is dyad, which is almost never discussed in these terms. This seems odd because the dyad is a key building block of organizations, and, indeed, there has been a growing trend toward relational perspectives on organizations. In social psychology, the relationship took a backseat to the individual during the cognitive revolution of the 1960s/70s, and history risks repeating itself with the recent advance of neuroscience. This too is puzzling as relationships are essential to social life. A countervailing force in social psychology has been the rise of research on close relationships, or relationship science. In this course, we will stitch together organizational research that has a relational component and psychological research on close relationships and see what novel insights we can generate
Section |
Meeting Times |
Dates |
Instructor |
Notes |
20 |
R
2:00 pm
- 5:00 pm
|
02/04-05/05 |
Magee,J |
PhD only, Room Tisch 720 |
-
Course Description:
Organizations operate in dynamic environments. This course introduces doctoral students to the principal theoretical perspectives and empirical findings used to explain relationships among environments, organizational strategies, designs, and performance. Students are expected to develop expertise in the analysis of environments and organizations from several theoretical perspectives, such as resource dependence theory, institutional theory, organizational ecology, and industrial organization economics. The seminar stresses the competitive and mutual dimensions of environments that propel managers to enact business, corporate, and collective strategies, structures, processes, and systems to enhance their firms' effectiveness. Both theoretical and empirical research are examined to illustrate how different theoretical perspectives require different empirical research methodologies.
Section |
Meeting Times |
Dates |
Instructor |
Notes |
20 |
W
5:00 pm
- 8:00 pm
|
02/03-05/04 |
Greenberg,J |
PhD students only |
-
Course Description:
The field of Strategy is motivated by a simple question: What allows certain firms to earn positive economic profits while others deliver negative returns? It offers a set of complicated answers: differences in industry structure, internal capabilities, superior managerial decision making, vertical and horizontal scope and so on. In the past 3 decades, Strategy has emerged as an important area of study in Management. The Business Policy and Strategy division now boasts of the largest membership in all of AOM. In practice, the field of Strategy is the only area that speaks exclusively to the highest level of corporations- the leaders, the CEOs, and the movers and shakers of the modern firm. It transcends functional areas such as finance or marketing, as it brings functional knowledge to bear on the most critical issues faced by the firm's key decision makers. While there is a strong degree of core consensus among scholars, Strategy is a young discipline with many unresolved theoretical puzzles and empirical challenges. Far from being obstacles, these gaps present attractive and ample opportunities for fledgling scholars to make a mark. Whether you aspire to contribute directly to the scholarship of Strategy or are simply curious about how Strategy may relate to your area (whether it be Information Systems, Marketing or Public Policy), this course offers an overview of classic concepts and ideas and introduce you to current research in Strategy.
Section |
Meeting Times |
Dates |
Instructor |
Notes |
20 |
|
02/01-05/09 |
Eggers,J |
PhD students only |
Marketing
Operations Management
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Course Description:
This course has two objectives: teach doctoral students the fundamental concepts in game theory and mechanism design, and familiarize the students with how game-theoretical techniques are currently being used in operations management research. COURSE CONTENTS The course will cover solution concepts for normal form games (Nash Equilibria and rationalizability), dynamic games (Subgame Perfect Equilibria), incomplete information games (Bayes-Nash Equilibria) and dynamic games with incomplete information (Perfect Bayesian and Sequential Equilibria). It will also cover the folk theorems for repeated games, properties and applications of potential games and Nash bargaining. We will also cover mechanism design, including both social welfare and revenue maximization. Finally, we will go over recent papers using game theoretic concepts in OM applications such as supply chain contracting, queuing games and revenue management with strategic customers.
Section |
Meeting Times |
Dates |
Instructor |
Notes |
20 |
R
1:00 pm
- 4:00 pm
|
02/04-05/05 |
Lobel,I |
PhD students only |
Statistics
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Course Description:
Statistical methods for describing and utilizing nontraditional data modalities arising from social processes. Half of the course will be devoted to network data (communications, recommendations, and transactions) and the other half will be devoted to textual data (words, phrases, and documents). We will survey a broad class of models for dealing with these types of data. Possible topics include the following: word-sense disambiguation; sentiment analysis; Markov and hidden Markov text models; topic discovery; descriptive statistics for networks; community detection; exponential random graph models; latent space models; network sampling; point processes; low-rank matrix approximations; power laws. The course will assume some prior knowledge of linear algebra, probability, and statistical inference.
Section |
Meeting Times |
Dates |
Instructor |
Notes |
20 |
T
2:00 pm
- 5:00 pm
|
02/02-05/03 |
Perry,P |
PhD students only |
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