Archived materials from a Spring 2012 course that aims to take students "through the process of forming economic hypotheses, gathering the appropriate data, analyzing them, and effectively communicating their results". Includes reading suggestions and assessment materials (without answers). The course presumes knowledge of statistical methods in economics.
Assessment Materials in Econometrics
This webpage provides ten multiple choice questions for introductory econometrics, written by Guy Judge of Portsmouth University. The quiz is hosted by the Quia service, which allows academics to add their own quizzes by subscription. Marking and feedback on the correct answers is provided.
This is a large set of exercises keyed to chapters of the textbook "Basic Econometrics" by Damodar N. Gujarati, with suggested answers for all questions.
Available are notes from lectures, problem sets, and a sample exam. Lecture topics are: Discrete Response Models, Sampling and Selection, Generalized Method of Moments, Instrumental Variables, Systems of Regression Equations, Simultaneous Equations, and Robust Methods in Econometrics. From an Econometrics / statistics course as taught in 2001.
A set of questions from a econometrics course as Leicester, without answers, as a six-side PDF document.
This is a course website for Introductory Econometrics as taught by Mike Abbott at Queen's University, Kingston (Australia). It includes extensive course materials, lecture notes, statistical tables, datasets and assignments and a number of past exams, going back to 1997, some with answers in separate files.
This 1998 course page has seven sets of extensive lecture notes totalling more than 160 pages of explanatory material. There are also seven quizzes, also in PDF and PostScript formats. The course is an Introduction of Econometrics / Statistics as taught by Daniel McFadden, James Powell at University of California, Berkeley.
Fifteen detailed lecture handouts in PDF are archived here along with 11 exercise sheets with answers. The lecture topics are: Sets and Boolean Algebra, The Binomial Distribution, The Multinomial Distribution, The Poisson Distribution, The Binomial Moment Generating Function, The Normal Moment Generating Function, Characteristic Functions and the Uncertainty Principle, The Bivariate Normal Distribution, The Multivariate Normal Distribution, Conditional Expectations and Linear Regression, Sampling Distributions, Maximum Likelihood Estimation, Regression estimation via Maximum Likelihood, Cochrane's Theorem, and Stochastic Convergence.