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Course Criteria
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3.00 Credits
Inman. Prerequisite(s): PHD course with advanced microeconomics. This course will introduce the students to the basic models of formal political economy and methods for empirically estimating those models from policy data, both for the developed and developing economies. Topics to be covered will include Downsian electoral competition and median voter politics, theories of legislative politics including minimum winning coalition and universalistic (pork-barrel) politics, models of lobbying and political corruption, models of executive influence in legislative settings. Particular attention is paid to the role of formal (constitutional) and informal (non-constitutional) institutions as they determine policy outcomes in democratic societies, including majoritarian (first-past-the-post) and proportional representation systems of elections, partisan (party) and non-partisan (special interest) legislatures, executive agenda-setting and veto powers, federal and unitary forms of governance, and finally, the role of judicial review. Policy applications will focus on fiscal policy (taxes, spending, and debt), though students should feel free to apply the analysis to other public policies of interest. Students should have a firm understanding of micro-economic theory and applied econometrics.
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3.00 Credits
Pack, J. Prerequisite(s): Microeconomics. The principal tool for project and policy evaluation in the public sector. For government, whose "products" are rarely sold, the valuation of costs and benefits by means alternative to market prices is necessary. It is the counterpart to cost accounting in private firms and provides guidance for avoiding wasteful projects and undertaking those that are worthwhile. In addition, given government regulations, cost benefit evaluations are critical for many private sector activities. Real estate developers, manufacturing firms, employers of all types are required to provide evaluations of environmental impacts and of urban impacts for their proposed projects. They too must engage in cost benefit analysis, in the valuation of social benefits and costs. PhD students will write a paper on a theoretical or applied issue in cost-benefit analysis in lieu of the final examination. Government analysts, consultants, and private firms regularly carry out cost cost benefit analyses for major investments -- bridges, roads, transit systems, convention centers, sports stadia, dams -- as well as regulatory activities - OSHA workplace safety regulations and the Clean Air Act are two important examples.
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3.00 Credits
Kunreuther. Prerequisite(s): None, but microeconomics helpful. This course is designed to introduce students to the role of risk assessment, risk perception and risk management in dealing with uncertain health, safety and environmental risks including the threat of terrorism. It explores the role of decision analysis as well as the use of scenarios for dealing with these problems. The course will evaluate the role of policy tools such as risk communication, economic incentives, insurance, regulation and private-public partnerships in developing strategies for managing these risks A project will enable students to apply the concepts discussed in the course to a concrete problem.
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3.00 Credits
Waldfogel. Prerequisite(s): None. The goal of this course is to help doctoral students develop critical thinking skills through both seminar participation and writing of referee reports. To this end students will attend the Wharton Applied Economics each Wednesday at noon seminar when it meets; prepare two written referee reports on WAE papers per semester, due before the seminar is presented; after attending the seminar - and the ensuing discussion of the paper - students will prepare follow-up evaluations of their referee report reports, due one week after the seminar.
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3.00 Credits
Seim/Waldfogel. Prerequisite(s): Doctoral level economics (e.g. ECON 701, 703 or ECON 680, 682). Corequisite(s): This course acquaints students with topicsin applied industrial economics that are most relevant to business school doctoral students. The course aims to provide both methodological training in some of the approaches of contemporary empirical work, as well as topical depth in a variety of areas. Topics covered include, but are not limited to, entry modeling, product selection, concentrationand product targeting, distributional effects of market allocation, endogenous sunk costs and market structure, information and competition, the challenges of selling information goods, historical lock-in, and innovation.
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3.00 Credits
Pack, H. Prerequisite(s): MGEC 621. The course analyzes the problems of emerging markets. The course considers the industrialization strategies they have chosen and the recent financial and macroeconomic problems they have encountered. Particular emphasis will be given to the recent problems of Latin American and Asian countries that experienced rapid growth for considerable periods only to encounter major reversals in the last half of the 1990s. The implications of this experience for theprivate and public sectors will be considered in detail. The role of foreign aid, the World Bank and the International Monetary Fund in dealing with crises in developing countries will be explored in detail.
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3.00 Credits
Propert. The purpose of this course is to introduce students without a background in medicine and biology to the basic vocabulary and principles of human anatomy and physiology in preparation for collaborative research in biostatistics. The course will begin with an overview of basic human biochemistry, cell biology, and genetics. Later topics willfocus on the major organ systems including circulation, digestion and excretion, neurophysiology, and reproduction. Major disease areas of research such as cancer and drug research will also be covered.
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3.00 Credits
Morrison. Prerequisite(s): Two semesters of calculus (through multivariable calculus), linear algebra. This course is also offered in the Summer I session. This course covers Elements of matrix algebra. Discrete and continuous random variables and their distributions. Monents and moment generating functions. Joint distributions. Functions and transformations of random variables. Law of large numbers and the central limit theorem. Point estimation: sufficiency,maximum likelihood, minimum variance, confidence intervals.
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3.00 Credits
Faculty. Prerequisite(s): BSTA 620. Statistical inference including estimation, confidence intervals, hypothesis tests and non-parametric methods.
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3.00 Credits
Brown. Prerequisite(s): BSTA 621. Statistical inference including estimation, confidence intervals, hypothesis tests and non-parametric methods.
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