http://www.oercommons.org/browse/keyword/heteroscedasticity daily 1 2000-01-01T12:00+00:00 http://www.oercommons.org/courses/econometrics-2 This course is designed to provide the student with a simple and straightforward introduction to econometrics. Econometrics is a set of research tools employed in the business disciplines of accounting, finance, marketing, and management. It is also used by social scientists, specifically researchers in history, political science, and sociology, and it even plays an important role in such diverse fields as forestry and agricultural economics. Studying econometrics will help the student transition from being a student of economics to a practicing economist. By taking this course, the student will gain an overview of what econometrics is about and develop some 'intuition' about how things work. Upon successful completion of this course, students will be able to: Explain the fundamental probability concepts used in econometric analysis; Discuss the issues and pitfalls involved in testing theories; Demonstrate an understanding of the formulation of an empirical economic model; Perform data collection, interpretation, organization, and analysis for economics; Identify the desirable properties of estimators; Identify key classical assumptions in the field of Econometrics, explain their significance, and describe the effects that violations of the classical assumptions can have; Demonstrate an understanding of the basics of econometric analysis focusing on the least squares methodology for single explanatory and multiple explanatory variables; Extend to the regression 'family' to handle important special cases; Interpret key statistics and diagnostics typically generated by software. (Economics 203; See also: Mathematics 301) Social Sciences 2011-11-18T16:53:11 Course Related Materials http://www.oercommons.org/courses/statistical-method-in-economics-fall-2006 The course introduces statistical theory to prepare students for the remainder of the econometrics sequence. The emphasis of the course is to understand the basic principles of statistical theory. A brief review of probability will be given; however, this material is assumed knowledge. The course also covers basic regression analysis. Topics covered include probability, random samples, asymptotic methods, point estimation, evaluation of estimators, Cramer-Rao theorem, hypothesis tests, Neyman Pearson lemma, Likelihood Ratio test, interval estimation, best linear predictor, best linear approximation, conditional expectation function, building functional forms, regression algebra, Gauss-Markov optimality, finite-sample inference, consistency, asymptotic normality, heteroscedasticity, and autocorrelation. Chernozhukov, Victor Mathematics and Statistics Social Sciences 2008-01-27T10:00:48 Course Related Materials http://www.oercommons.org/courses/14-32-econometrics-spring-2003 Introduction to econometric models and techniques, emphasizing regression. Advanced topics include instrumental variables, panel data methods, measurement error, and limited dependent variable models. Includes problem sets. May not count toward HASS requirement. This course covers the statistical tools needed to understand empirical economic research and to plan and execute independent research projects. Topics include statistical inference, regression, generalized least squares, instrumental variables, simultaneous equations models, and the evaluation of government policies and programs. Angrist, Joshua Social Sciences 2006-03-20T23:46:00 Course Related Materials