Spring 2014
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 |
|
02/03-05/12 |
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 |
|
02/03-05/12 |
Klein,A |
PhD Students only |
Economics
-
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 |
MW
10:30 am
- 12:00 pm
|
02/03-05/12 |
Kawai,K |
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'll 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
6:00 pm
- 9:00 pm
|
02/05-03/12 |
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.
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 |
FR
10:00 am
- 1:00 pm
|
02/07-05/09 |
Sundararajan,A |
PhD Students only |
-
Course Description:
In this course we will take a deep dive into selected topics in data science. The focus will be two-fold. First, we will read textbook segments, classic papers, and new research, with the goal of understanding research in data science. Second, we will study the actual practical application of data science methods to extract knowledge from large-scale data. We will cover topics such as machine learning, data mining, information retrieval, text classification, sentiment analysis, similarity analysis, network analysis, graphical models, Bayesian models, topic models, model evaluation, crowd-sourcing and micro-outsourcing, massive-scale data processing, reducing data for analytic purposes, and more. The selection of which topics are covered in a particular semester will be based on: (i) the current research and business environments, (ii) the research interests of the IS faculty, and (iii) the interests of the students in that semester. We also will discuss applications that are of current interest, such as recommender systems, social-network marketing, online advertising, Mechanical Turking, and more.
Section |
Meeting Times |
Dates |
Instructor |
Notes |
20 |
R
09:30 am
- 12:30 pm
|
02/06-05/08 |
Provost,F |
PhD Students only |
-
Course Description:
This course provides advanced doctoral students with exposure to the spectrum of academic-style research pursued by corporate entities, towards gaining an appreciation of the similarities and differences between inquiry undertaken by industry labs/research groups and the corresponding work done within a university setting. The internship provides an opportunity for students to put theory into practice. Students registered for the course will be required to collaborate with a suitably identified industry partner, often in the form of a short internship. Internships are closely supervised by a Stern faculty member, and students will be expected to submit a research paper that summarizes the outputs of the collaboration.
Section |
Meeting Times |
Dates |
Instructor |
Notes |
20 |
FR
2:00 pm
- 5:00 pm
|
02/07-05/09 |
Sundararajan,A |
PhD Students only |
Management and Organizations
-
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 |
M
5:00 pm
- 8:00 pm
|
02/03-05/12 |
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 fledging 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 |
W
1:30 pm
- 4:20 pm
|
02/05-05/07 |
Fang,C |
PhD Students only |
Marketing
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Course Description:
This course acquaints students with the state of the art in mathematical marketing models. The focus is on models of consumer and market behavior. In particular, utility theory, discrete choice models, stochastic models, multidimensional scaling, and hierarchical decision making are studied. These models are examined in the context of how consumers and the market react to marketing stimuli. The readings are drawn from leading marketing journals.
Section |
Meeting Times |
Dates |
Instructor |
Notes |
20 |
|
02/03-05/12 |
Hui,K |
PhD Students only |
Operations Management
-
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 |
FR
09:00 am
- 12:00 pm
|
02/03-05/12 |
Lobel,I |
PhD Students only |
|