Duke University 2009-2010 - Office of the Registrar - Duke University
Duke University 2009-2010 - Office of the Registrar - Duke University
Duke University 2009-2010 - Office of the Registrar - Duke University
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327. Empirical Methods in Macroeconomics and Forecasting in Time Series Analysis. Examine <strong>the</strong> models and<br />
statistical techniques used to study time series data with special emphasis to application in macro. Three objectives:<br />
equip students who anticipate using times series data in doctoral research with tools for state-<strong>of</strong>-<strong>the</strong>-art empirical<br />
research; lay out econometrics <strong>the</strong>ory for time series analysis, with emphasis on recent developments; to analyze<br />
selected recent work in <strong>the</strong>oretical macro modeling with emphasis on empirical implication and analysis. Instructor:<br />
Rossi. 3 units.<br />
328. Internship. Open to students engaging in practical or governmental work experience during <strong>the</strong> summer or a regular<br />
semester. A faculty member in <strong>the</strong> department will supervise a program <strong>of</strong> study related to <strong>the</strong> work experience,<br />
including a substantive paper on an economics-related topic, maintaining significant analysis and interpretation.<br />
Consent <strong>of</strong> director <strong>of</strong> graduate studies required. Instructor: Staff. 1 unit.<br />
329. Public Finance: Economics <strong>of</strong> <strong>the</strong> Environment. Component <strong>of</strong> public finance sequence divided into two sections:<br />
(1) externality <strong>the</strong>ory and Pigouvian policy tools and (2) <strong>the</strong>ory and empirical methods for valuing non-market<br />
commodities. Includes extended problem set distributed throughout semester, referee report on unpublished paper, and<br />
short final exam. Problem set contains both <strong>the</strong>oretical and empirical component and is intended to build familiarity with<br />
programming tools and numerical techniques. Instructor: Timmins. 3 units.<br />
330. Empirical Public Economics. Topics include <strong>the</strong> incentive effects <strong>of</strong> <strong>the</strong> tax and welfare system, social security,<br />
Tiebout competition, <strong>the</strong> demand for local public goods, education, and school competition. Instructor: Vigdor. 3 units.<br />
341. Econometrics I. Matrix algebra, probability <strong>the</strong>ory, and statistics used to develop methods for multiple regression<br />
analysis. Covers material up to generalized least squares estimation. Restricted to PhD students in economics, except<br />
with consent <strong>of</strong> instructor. Instructor: Bayer and Rossi. 3 units.<br />
341D. Econometrics I. Same in content as Economics 341, but with weekly discussion section. Instructors: Bayer and<br />
Rossi. 3 units.<br />
342. Econometrics II. Advanced multivariate regression analysis. Topics include panel data models, systems, limited<br />
dependent variables, discrete choice, and nonlinear estimation. Prerequisite: Economics 341. Instructor: Khan or staff.<br />
3 units.<br />
342D. Econometrics II. Same in content as Economics 342, but with weekly discussion section. Instructor: Khan or staff.<br />
3 units.<br />
343. Econometrics III. Asymptotic <strong>the</strong>ory for finite dimensional parametric models. Topics include nonlinear maximum<br />
likelihood, nonlinear regression, extremum estimators, aspects <strong>of</strong> computation, hypo<strong>the</strong>sis testing, and models with<br />
limited dependent variables. Prerequisite: Economics 342. Instructor: Beresteanu or Tauchen. 3 units.<br />
345. Applied Econometrics. Applications <strong>of</strong> current econometric methodology to empirical problems with an emphasis<br />
on applied microeconomics. Topics include limited dependent variable, longitudinal and panel data analysis, and<br />
duration models. Prerequisites: Economics 341 and 344. Instructor: Tarozzi. 3 units.<br />
349. Empirical Methods in Finance/Financial Econometrics. Selected current empirical research topics in finance and<br />
related econometric methods. Focus on testing <strong>the</strong>ories <strong>of</strong> asset price determination, exploring <strong>the</strong> interplay between<br />
economic <strong>the</strong>ory, statistical assumptions about returns, and <strong>the</strong> relevant econometric techniques. Prerequisite:<br />
Economics 304 and 347, or equivalent course work with consent <strong>of</strong> instructor. Instructor: Bollerslev or Tauchen. 3 units.<br />
350. Econometrics <strong>of</strong> Macroeconomic Time Series. Statistical analysis <strong>of</strong> economic time series. The temporal<br />
dependence in such data and <strong>the</strong> formulation <strong>of</strong> dynamic economic models combine to present some unique problems<br />
and consequently require <strong>the</strong> application <strong>of</strong> specialized methods. Focus on applications ra<strong>the</strong>r than on proving <strong>the</strong>orems.<br />
Different econometric methodologies applicable to specific problems in macroeconomics, monetary economics, and<br />
finance. Prerequisite: Economics 302, 322; corequisite: Economics 345. Instructor: Bollerslev. 3 units.<br />
351. Empirical Microeconomics. Covers recent research in empirical microeconomics. Particular attention will be paid<br />
to applications that exploit insights from game <strong>the</strong>ory, information economics, imperfect competition and o<strong>the</strong>r recent<br />
developments in microeconomics <strong>the</strong>ory. Examples from industrial organization, public finance and labor economics<br />
will be discussed. Students will engage in an empirical research project as part <strong>of</strong> <strong>the</strong> course requirements. Prerequisite:<br />
Economics 303, 341, 342, 343. Instructor: Staff. 3 units.<br />
354. Seminar: Labor and Economics <strong>of</strong> <strong>the</strong> Family. Theory and empirical applications <strong>of</strong> decision making when<br />
individuals within groups have conflicting interests. For households include all outcomes over which household<br />
members have preferences (allocations <strong>of</strong> time to home production, market work and leisure, expenditures on goods;<br />
investments in children's education, daycare, and health; transfers within and across generations. Matching models and<br />
search (or marriage/divorce) markets) and consequences for intra- and extra-household distributions, including <strong>the</strong><br />
intra-family distribution <strong>of</strong> income, child support, health and mortality, births out <strong>of</strong> wedlock and productivity over life<br />
cycle. Emphasis on influence <strong>of</strong> legal frameworks (family law, taxes and transfers). Related courses Econ 355, 385A.<br />
Consent <strong>of</strong> instructor required. Instructor: McElroy. 3 units.<br />
355. Seminar in Labor Economics. Instructor: Staff. 3 units.<br />
356. Graduate Health Economics I. Survey course designed for students considering PhD research in health economics.<br />
Topics will include demand for health insurance, moral hazard, health as an investment, technological change, <strong>the</strong><br />
Departments, Programs, and Course Offerings 99