This course is designed for doctoral students who wish to understand the process of knowledge creation and publish research in scholarly journals in Strategic Management and Organization Theory.

While it is generally assumed that science rationally and reliably uncovers the truth, philosophers of science have tended to disagree. The first half of the course introduces major problems and movements in the philosophy of science, which studies the assumptions, foundations, methods, and implications of science, and well as its use and merit. We will discuss traditional themes such as theory and observation, induction, probability, and falsification, critiques articulated by relativists, feminists, and sociologists of knowledge, as well as challenges to these critics from contemporary realist and Bayesian perspectives. By the end of the course, students will be prepared to critically discuss the nature of science, scientific methods, scientific knowledge, scientific explanation, and the role of the social organization of science in its achievements.

The second half of the course is organized following the stages in the research process, beginning with framing research questions, research design, and continuing to consideration of alternative research approaches. We will discuss topics and study exemplars, in experimental design, survey design, ethnography, case studies, and archival research. By the end of the course, students will be prepared to critically evaluate design and method choices for their own research.

This doctoral course reviews theory and research in organizational theory, with a particular focus on contributions to strategic management. Organization theory seeks to explain the origins, persistence, and disappearance of the social structures that order economic life, particularly organizations, networks, and markets. Strategic management, on the other hand, generally seeks to explore the antecedents of firm performance. In this course, we will explore common social mechanisms that organization theory has identified and link those to firm performance.

The course emphasizes both seminal research and recent developments in the application of economics to strategic management. We will explore theoretical analyses and empirical studies that address fundamental questions in strategy research: What are the sources of differential firm performance? What are the appropriate boundaries of the firm? What economic forces drive entrepreneurship, knowledge flows and cooperation between firms? The overarching objectives of the course are: 1) To familiarize you with the core questions in the economics literature with relevance for strategy research; 2) To help you hone the skills required to model economic trade-offs and to use micro-economics tools to develop empirically testable predictions; 3) To broaden your exposure to empirical economics and strategy research, and to develop presentation skills required for an effective research seminar.

This is a workshop offered every year and is mandatory for all PhD students in Strategic Management. First-year students audit the workshop; after their first year, students must enrol in the workshop for credit (and, as such, complete all the assignments). The specific objectives of the workshop are: 1) Keep you apace with Strategy-related frontier research, by discussing the studies presented by the speakers in the Strategy Seminar Series. 2. Address issues of professional development and the "art and craft" of doing research, by listening to presentations by faculty in the Strategic Management PhD program. Each faculty will talk about a different theme, including challenges in data collection, planning and scheduling, the transition from graduate student to faculty member, and presentation skills. 3) Offer PhD students the opportunity to present their own work in progress to each other and to selected faculty.In addition to these "formal" goals, our meetings are an opportunity to check on the students' overall progress, discuss any issues related to the doctoral program, and exchange useful information in a friendly and safe space.

The main intention of this course is to deliver students with a working knowledge of research in this area by studying some of the canonical work (both theoretical and empirical) and then exploring some of the frontier work. This will provide students both the basis on which to identify some of the important research questions as well as an understanding of the techniques that could be employed to address them. This course will focus on the following broad topics: Incentives to innovation (including patents and rewards), growth theory, and spin-outs.

This course has two objectives: 1) to introduce students to the game-theoretic models that are the foundation of the modern theory of firm behaviour and 2) to take students to the frontier of Industrial Organization Theory by introducing them to the latest research in the field. The ultimate goal of the course is to help students develop research topics that will form the basis of their PhD thesis research.

This course introduces students to the frontier of theory, methods and empirical evidence in urban and real estate economics. Topics include the analysis of local labor markets, land use theory, quantitative modeling of cities and regions, agglomeration, hedonic methods, urban transportation, local public finance, applied econometric methods for spatial data and housing and real estate. This course prepares students with many of the necessary tools to undertake their own research in urban and real estate economics or related fields.

The main purpose of this course is to develop skills for presenting and discussing on-going research. PhD students in Economic Analysis and Policy at various stages of the program will make presentations in formats that they will experience as academics in the future (e.g., conference talk, invited seminar, brown-bag, job talk, etc.). The research presented will include dissertation topics and third-year papers as well as complementary research not in either category. The workshop will seek to enhance the students' understanding of the role that giving talks play in the research process. Furthermore, speakers may be invited to inform students about post-PhD career paths.

This first-year course provides an introductory survey of topics in empirical accounting research with an emphasis on financial accounting issues. Specific topics will vary by year but may include financial disclosure, earnings quality, corporate governance, financial analysts, taxation, and selected international issues. One of the requirements of the course is a research proposal which is meant to facilitate the students' work on their required summer paper.

This course focuses on research methods in managerial accounting research. Three primary research methods are emphasized: analytical modeling in imperfect information environments, parametric and non-parametric production-cost modeling, and empirical archival techniques. Topics covered include agency models of performance evaluation and control, decentralization and transfer pricing, productivity measurement, data envelopment analysis, financial and non-financial information in performance measurement, product and process quality measurement, accounting in advanced manufacturing technologies, budgeting, and costing systems.

This course focuses on theoretical, empirical and experimental research methodologies in auditing. Three primary research methods are emphasized including analytical modeling with imperfect information, empirical archival techniques and experimental methods. Topics include multi-person agency and game-theoretic models involving auditors, shareholders and managers, auditor reputation and the legal environment, auditor independence, audit quality and pricing, audit judgement processes, expert systems, analytical review, and audit sampling techniques.

The course material deals with advanced methodological issues primarily in the area of financial accounting. Topics are idiosyncratic to the faculty member who teaches the course. The emphasis is on careful reading and understanding of scientific accounting journal articles. In recent years, topics covered include earnings announcements and market microstructure, value relevance and cross-sectional analyses, variance decomposition analysis, earnings forecasts and analyst behaviour, accounting information and market efficiency, earnings management, and risk and accounting information.

This workshop is an essential element of the doctoral program in accounting. Its purpose is to expose students to diverse, state-of-the-art research in accounting through an ongoing series of weekly seminars and discussions led by 1) accounting faculty, 2) invited faculty of cognate disciplines, 3) invited researchers from other universities and 4) doctoral students.

This PhD seminar course will expose students to a variety of topics related to valuation in financial accounting research. Topics covered include fundamental analysis, anomalies, accounting based valuation, information risk, implied cost of capital and aggregate earnings. While most papers will be empirical, we will also study the theoretical underpinnings of the valuation models. At the end of the course, students are expected to come up with a proposal for research in the broad area of valuation, motivated by the papers discussed in class. This course is required for all accounting PhD students and (similar to other financial accounting courses) highly recommended for finance PhD students with an interest in corporate finance or valuation.

This course covers capital market theory under certainty, risk, the expected utility hypothesis and time-state preference and capital and pricing models of security valuation. These models will be used to examine questions of portfolio formation, security selection, and the notion of efficiency in financial markets. The emphasis is on statistic, single period models.

This course extends RSM3030H to include an analysis of arbitrage-free financial markets and continuous time models of security valuation. Option pricing models, credit risk models and multi-period valuation modelswill be analyzed in detail together with a discussion of agency problems in finance.

This course develops an understanding of the econometric problems frequently encountered in testing the propositions of financial theory. The testing of asset pricing models, the event study methodology, the distribution of returns, the multivariate regression model, and the power of different statistical tests will be developed in detail.

This course reviews current and academic research in corporate finance. It covers both theory and empirical tests of the theoretical models.

This course provides the tools needed to model time-varying volatility and correlation as well as unvariate and multivariate non-normality in asset returns. These tools are subsequently used in financial applications including option valuation, risk management, and portfolio allocation.

This course consists of presentations by invited speakers on current issues in Operations Management, as well as student presentations on the research projects they are involved in. A variety of applied and theoretical topics are covered. Normally students attend this course throughout their tenure in the program, however it is only taken for credit once, usually in the second year of studies. In the term when the course is taken for credit the student is required to turn in a substantial research paper and to present the results in class.

This research-oriented course focuses on timely topics that change at each offering.

This course provides students with in-depth analysis of some of the theory and methods of Operations Management and form the primary "foundation" courses for PhD studies. The topics covered vary from year to year. They are typically drawn from the following list: Theory of Production Planning and Control, Inventory Theory, Logistics, Modelling Service Operations, and Facility Location. Students who have already taken RMS3045H for credit, but wish to study the special topic offered in a particular year are encouraged to take the course again (using the RMS3090H course number for the second registration).

This research-oriented course focuses on timely topics that change at each offering.

This course introduces students to basic theories of and research in consumer behavior with balanced perspectives of social psychology as well as behavioural decision theory. You are expected to develop a solid foundation for critical thinking in the area of consumer behaviour by taking this course. The focus of this course is on understanding current theoretical and methodological approaches to various aspects of consumer behaviour, as well as advancing this knowledge by developing testable hypotheses and theoretical perspectives that build on the current knowledge base. For each topic, a range of articles from old classics to new research will be assigned. Given the time constraints, this course cannot cover all of the important papers or even the topic areas in the field. To fill these gaps and to familiarize themselves with the breadth of consumer behaviour research, students are encouraged to peruse the last five years of the field's journals (e.g., JCR, JMR, and JCP) and also stay up-to-date on the latest issues in these journals.

The purpose of this course is to introduce students to the key questions and most common methods used in quantitative marketing. The practice of finance has transformed over the past several decades to be a primarily quantitative field, rooted in ideas from economics. The same process is now happening in marketing. Marketing practice is increasingly quantitative. Many of the most exciting marketing companies in the world apply marketing principles in highly technical ways. This transformation of practice was preceded by the rise of the field of quantitative marketing. A key theme is that rigor is a necessary condition for relevance. In other words, while there are rigorous papers that are not relevant, a research paper cannot be relevant if it is not rigorous. Without careful attention to detail and appropriate use of techniques, research should not be trusted to influence marketing practice or marketing policy. In each class, we will work through research papers that build rigorous quantitative models of important marketing phenomena. Many of these papers take a social science perspective, with an emphasis on understanding the decisions of managers and consumers. Others take more of an engineering perspective, focusing on designing marketing tools.

The purpose of this course is to introduce students to a diverse range of methods and data for testing theories of consumer choice behaviour. Increasingly, research in the social sciences (and marketing in particular) requires strong analytical skills and tight integration between theory and data. From a conceptual standpoint, this course will cover a range of theories in cognitive psychology and their application to marketing practice. From a methodological standpoint, it will develop analytical computational skills that are becoming necessary for success as a researcher, regardless of field. Key themes will include the benefits and integration of laboratory and field data. It will discuss various sources of data, including choices, response times, attitudinal ratings, and physiological measures, and their appropriateness for testing theory. There will be an emphasis on developing methodological skills and computational workflow, so that students can apply these techniques to their research.

The primary goal of this course is to introduce students to current topics in consumer behaviour. The course covers a variety of papers from extant literature in marketing and psychology, with the goal to help students get a better appreciation of some important research questions on consumer psychology and decision making, as well as to give them a deeper understanding of the techniques that could be employed to study them. Each week we will read a number of papers on a different topic that include foundational/classic papers to get a good grasp on the background about the topic as well as a range of recent papers examining more contemporary issues. The course aims to give students an appreciation of the importance of the theory and empirical investigation as well as to help them explore potential research topics for their dissertation.

This course focuses on recent developments in quantitative marketing and empirical industrial organization, with an emphasis on dynamic structural models. We will study techniques for developing and estimating models of demand and competition in both static and dynamic settings. In these types of models, an economic agent’s decision today can have an impact on how he and other players make their decisions in the future. In many situations, economic agents recognize this relationship and make strategic choices. Examples of dynamic demand models include consumer learning models, inventory and stockpiling problems, durable goods adoption and replacement decisions. Examples of dynamic competition models include dynamic price competition, entry-exit, store location and product positioning. We will emphasize the importance of combining theory, institutional details and econometric techniques to answer these types of questions in marketing, industrial organization, and other applied microeconomics areas. By discussing several empirical applications in detail, we will illustrate how to apply basic modeling techniques to problems at hand. In the later lectures, we will explore areas on the research frontier, such as modeling approaches that relax the standard rational expectations assumptions, and approaches that incorporate machine learning and large-scale datasets.