Ph.D. Courses
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47710 Seminars in Accounting
In this course, we will learn how to be better scientists, both in our theoretical and our empirical investigations. We will explore the role empirical content, or informative content plays in scientific examination of behavior in finance and accounting research. We will…
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47715 Topics in Financial Accounting Research
Structural methods for finance and accounting. Empirical accounting research and critical assessment of empirical work. Learn about the research process and develop ideas for your own research.
47719 Applied Contract Theory in Accounting & Finance
This course covers the main applications of contract theory and information economics, focusing on the business fields of accounting and finance. We start with two essential information-based economic problems moral hazard and adverse selection respectively and focus on…
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47720 Empirical Methods for Finance & Accounting
This is an applied econometrics course that covers the estimation techniques and econometric theory used in contemporary empirical work. With the goal of making causal inference, we will focus on the application of the tools in corporate finance and accounting. The methods…
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47722 Seminar in Finance II (Asset Pricing)
This course focuses on theoretical and empirical research in corporate finance. Topics covered include capital structure decisions, payout policy, mergers and acquisitions, initial public offerings, and financial distress and bankruptcy.
47723 Seminar in Finance III (Financial Institutions & Markets)
This course will focus on trading and market structure issues, and also attention to credit rating agencies, arbitrage and taxes.
47724 Seminar in Finance IV (Corporate Finance)
This is a PhD course intended for doctoral students in finance, economics, and accounting. We will study dynamic quantitative models of corporate investment, financing, and related decisions. While the topics will be primarily in the area of corporate finance, broadly…
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47726 Dynamic Models of Corporate Finance
This is a PhD course intended for doctoral students in finance, economics, and related fields. We will study dynamic quantitative models of corporate investment, financing, and related decisions. The topics will be primarily in the area of corporate finance, broadly…
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47747 Bayesian Statistics
Bayesian methods are widely recognized for the unified approach that they offer to statistical analysis. Additionally, these methods are readily amenable to decision problems which are frequently found in Marketing problems. The growth of Bayesian methods in the last ten…
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47757 Structural Models & Quantitative Methods
This course focuses on empirical structural models and their applications in Marketing, Economics, and Information Systems. The goal is to help students build up necessary toolkits and provide hands-on experience of applying structural models to empirical researches by…
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47762 Healthcare Operations
The course covers models and methods of analysis for macro-, meso- and micro-level topics, spanning market design, access to (and quality of) care, competing interests, personalized medicine, global health, organ transplantation, healthcare supply chains, ambulatory care,…
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47770 Strategic Queueing Models
This course is designed to introduce students to contemporary research topics in Operations Management built on a queueing framework. Queueing theory, the intrinsically dynamic and stochastic study of flow systems, will be used to model how waiting times depend on demand…
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47779 Quantum Integer Programming & Quantum Machine Learning I
This course is primarily designed for graduate students (and advanced undergraduates) interested in integer programming (with non-linear objective functions) and the potential of near-term quantum and quantum-inspired computing for solving combinatorial optimization problems.
47785 Quantum Integer Programming & Quantum Machine Learning II
This course is primarily designed for graduate students (and advanced undergraduates) interested in integer programming (with non-linear objective functions) and the potential of near-term quantum and quantum-inspired computing for solving combinatorial optimization problems.
47800 Microeconomics I
This course is the first course in the core micro sequence of the economics PhD program. It is an introduction to microeconomic theory and concerns the behavior of individual consumers and firms in competitive settings. The specific topics to be covered are preference and…
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47801 Microeconomics II
This course is the second course in the core micro sequence of the economics PhD program. It is an introductory course in game theory and concerns economic situations in which rational decision-makers interact. The course is intended to teach students the tools necessary…
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47802 Microeconomics III
This course is the last course in the core micro sequence of the economics PhD program. The topics studied are advanced topics in economic theory. They often include but are not limited to contract theory and economics of information, repeated games and advanced models of…
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47803 Macroeconomics I
This course is the first course in the core macro sequence of the economics PhD program. This is an introductory course to modern macroeconomics. The course covers topics from basic growth theory to labor markets, asset pricing and government policy. It makes the students…
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47804 Macroeconomics II
This course is the second course in the core macro sequence of the economics PhD program. The course expands on the topics discussed in macroeconomics 1. Mainly the course focuses on macroeconomic models that involve heterogeneity. The topics covered in the class are…
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47805 Macroeconomics III
This course is the last course in the core macro sequence of the economics PhD program. It covers advanced topics in macroeconomics. These include monetary economics, models of firm dynamics, technology adoption, innovation and growth.
47808 Dynamic Competitive Analysis
This course will focus on the overlapping generations (OLG) model. Together with the neoclassical growth model (aka the Ramsey-Cass-Koopmans model), the OLG is one of the workhorse models used in macroeconomic theory. Since the student will have been introduced to the RCK…
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47809 Computational Methods for Economics
This is a course in the basic tools of numerical analysis that can be used both to assess the quantitative implications of economic theory and to derive theoretical results of economic models without analytical solutions. While the most examples will come from…
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47811 Econometrics I
This course is the first course in the core econometrics sequence of the economics PhD program. It is an introduction to the basic questions, tools and techniques used in empirical social science research. Students will learn to calculate and perform correct inference on…
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