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dc.contributor.authorKim, Kun H.
dc.date.accessioned2022-05-04T13:35:31Z
dc.date.available2022-05-04T13:35:31Z
dc.date.issued2022-01
dc.identifier.citationKim, Kun H. (2022, Spring), Syllabus, ECON1421E: Econometrics, Stern College for Women, Yeshiva University.
dc.identifier.urihttps://hdl.handle.net/20.500.12202/8123
dc.descriptionSCW syllabus / YU onlyen_US
dc.description.abstractECO 1421 introduces the basic econometric methods used for analyzing economic data, testing economic theories, and evaluating policies. The prerequisite for the course is introduc- tory calculus and statistics. We will also use basic college algebra, and you should know some introductory-level economics. We start with a review of probability and statistics. You can also read the early appendices (A, B, and C) in Wooldridge. The specific topics of the course include: basic probability & statistics, assumptions of the Gauss-Markov theorem, univariate and multivariate regressions, multivariate regression with dummy variables, statistical inference and testing, heteroskedasticity and panel data analysis. An important part of the course is using a statistics/econometrics package to analyze real data and interpret estimates. This course uses R. Therefore, you will need a way to regularly access R. Due to the ongoing Covid-19 situation, there could be occasional online lectures through Zoom. If that happens, an announcement will be made prior to the lectures.en_US
dc.language.isoen_USen_US
dc.publisherStern College for Women, Yeshiva Universityen_US
dc.subjectEconometricsen_US
dc.titleECON1421E: Econometricsen_US
dc.typeLearning Objecten_US


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