This course introduces theoretical and empirical research on entrepreneurship. Students will get a broad overview of the literature on core topics, learn how to critically review research papers, and develop their own research projects. The course covers the following areas: mobility and careers perspective on entrepreneurship, individual and structural determinants of entry, venture growth, firm survival and mortality, and empirical methods in entrepreneurship research.

Theoretical foundations in conducting research in the area of consumer behavior. Skills required in conceptual thinking and analyses. Consumer information processing, cognitive and affective processes, motivation, identity and self, attitudes, persuasion, and social influence.

Substantive and methodological approaches in the area of judgment and decision making, consumer memory, beliefs, inference, prediction, preference, and heuristics and biases in judgment, and decision making. Normative and descriptive principles that govern decision making. Knowledge and skills required in conducting original research on decision making.

This is a doctoral seminar course focusing on behavioral foundations of marketing strategy research. Since marketing strategy is inherently interdisciplinary, the course acquaints students with theories emanating from economics, sociology, psychology, strategy, the organizational sciences, as well as marketing. Students will be introduced to a variety of research designs and techniques for doing marketing strategy research. We will examine research involving experiments, quasi-experiments, surveys, qualitative data, and secondary data. Some of the topics covered include: marketing capabilities and resources, financial returns to marketing strategies, market knowledge and learning, marketing and innovation, marketing networks. The goal is that students finish the course with a deep understanding of the literature as well as how they might contribute to it. Students write a research paper on a topic of interest.

Major conceptual and empirical approaches in the prominent topics of consumer behavior with an additional consideration of the principles of experimental methodology. Knowledge and skills relevant to conduct behavioral research in marketing.

This course provides an overview of econometric techniques for the quantitative analysis of cause and effect in social sciences. Methods covered include experiments, regression, panel methods, difference-in-differences, instrumental variables, regression discontinuity and matching. Each topic will be studied using applications from the recent marketing, economics, management and operations literatures.

First part focuses on recent theoretical developments in corporate finance theory. Relevant concepts in game theory and contract theory and their applications to corporate finance. Techniques developed are used to understand agency conflicts between debt holders and equity holders, the role of managerial reputation and monitoring by financial intermediaries; conflicts of interest between managers and shareholders; capital structure and security design under asymmetric information; interactions between capital structure and product market competition; the market for corporate control, takeovers and acquisitions; bankruptcy and reorganization; IPOs and under-pricing. Second part studies the firm’s choice of its capital structure and dividend policy in settings characterized by moral hazard or asymmetric information, security issuance, investment decisions, corporate control, and corporate governance. Introduction to databases and empirical methods used most frequently in corporate finance research.

Focus on two core ideas: 1) time series properties of asset returns (predictability, volatility, correlations with other variables etc) and 2) cross-sectional properties of asset returns implied by equilibrium asset pricing models (including CAPM, consumption-based asset pricing, factor models etc). Topics include the arbitrage pricing theory, intertemporal capital asset pricing model, derivative pricing models, asymmetric information and rational expectations and an introduction to empirical testing.

The first part introduces a variety of econometric techniques, including maximum likelihood, generalized method of moments (GMM), panel data regressions, and various time-series models, including ARMA, GARCH, and regime-switching. Application of these econometric methodologies to asset pricing tests, dynamic asset allocation, financial risk management, and derivative pricing. The second part provides the foundations of continuous-time modeling. Continuous-time stochastic processes, Markov/Wiener processes, martingales, Ito’s lemma, stochastic differential equations and changes of measure. The applications of continuous time models include fixed-income pricing models, models of forwards, futures and other derivatives, and portfolio choice problems.

Focus on (1) anomalies in equity and debt markets; (2) ideas to come up with profitable portfolios with relatively low risk; (3) how to form long-short equity portfolios; (4) extreme losses of equity and fixed income portfolios; (5) arbitrage with equity, debt, and derivative securities; (6) model the term structure of interest rates, yield curves, and interest rate volatility; and (7) link macroeconomic variables and fundamentals with volatility in financial markets.

Operations management covers many research areas from classical ones such as inventory and supply chain control, service operations management to newly emerging ones such as online platforms and digital marketplaces, healthcare. The objective of this course is to introduce the major research topics in operations management to the students.