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This course focuses on studying a broad set of econometric methods to conduct empirical research in Operations Management and related fields in Management Science. The course complements formal econometrics and statistics classes by focusing on the application of different econometric methods and identification strategies to research problems that are relevant in different areas within Operations Management, including Supply Chain Management, Service Operations, Healthcare and Retail. Although statistics/econometrics classes provide a rigorous revision of the methods, they put less emphasis on how to apply these methods in different settings. This course aims to fill that gap by providing a problem-oriented approach, where the focus is on identifying empirical questions relevant to Operations Management and choosing an appropriate empirical strategy to address them. The course has a seminar format combining paper presentations by students, computer assignments and a short research proposal.
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This course is the Advanced Applications option in the menu of courses that satisfy the Management Perspectives requirement in Optimization and Simulation Modeling (OSM). The course will focus on using optimization techniques in practice, with the following objectives: (1) Students should leave with a good understanding of different types of optimization models and when they are useful; (2) Students should be able to solve real-world optimization models, and use tips and tricks for solving these models efficiently; (3) When faced with a business problem, students should be able to identify whether or not optimization is appropriate, and how to set up the correct model to solve the problem. The class is taught in an interactive style, focusing on a variety of applications drawn from advertising, healthcare, finance, supply chain management, and scheduling. We will be using the software Gurobi through Python. Students should be comfortable using these software packages by the end of the class, but no prior experience specifically with these software packages is necessary. Some prior coding experience is helpful, but the first week of the course is designed to bring all students up to speed with Python.
This course covers all the stages of funding for early stage high-growth companies, from seed funding to venture capital rounds to a successful exit. We will concentrate on how entrepreneurs and investors make and should make important decisions. Examples of issues that we will cover are: How can entrepreneurs raise funding successfully? What are typical mistakes entrepreneurs make in raising capital and negotiating with investors? How to choose your investor? How to pitch to an investor? How do angels and VCs generate and process their deal flow and select companies? How are VCs involved in business decisions such as recruiting talent and replacing CEOs? What are the important provisions of financial contracts between VCs and founders? How to value early-stage companies? The course is very applied and mostly case-based. We will discuss a lot of nitty-gritty details that is a must for founders and investors. Case protagonists, founders, angels, and VCs will be among guest speakers. No prior knowledge of the VC industry is needed.
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This course critically surveys empirical applications of formal models of collective-choice institutions. It is explicitly grounded in philosophy of science (e.g., Popperian positivism and Kuhn¿s notions of paradigms and normal science). Initial sessions address the meanings and roles of the concept of institutions in social-science research. Historically important works of political science and/or economics are then considered within a framework called Components of Institutional Analysis (or CIA), which provides a fully general way of evaluating research that is jointly empirical and formal theoretical. The course concludes with contemporary instances of such bridge-building. The over-arching objectives are to elevate the explicitness and salience of desirable properties of research and to illustrate the inescapable tradeoffs among the stipulated criteria.n nAlthough this is a core course in the GSB Political Economy PhD curriculum, its substantive foci may differ across years depending on the instructor. For Professor Krehbiel¿s sessions, the emphasis is on legislative behavior, organization, and lawmaking, and on inter-institutional strategic interaction (e,g, between executive, legislative, and judicial branches in various combinations).n nStudents should have taken . is also listed as .