Reading assignments, lab exercises, and quiz questions from an undergraduate course given in Autumn 2018
Assessment Materials in Econometrics
Slides, lecture notes and assignments from a 2019 course. Some of the documents are available via a GitHub repository
On this page for a 2017/18 course whose primary text is Verbeek's "A Guide to Modern Econometrics", under the "Public resources" tab there are problem sets and lecture slides in PDF format
PDF lecture slides and class exercises (without data sets) from a 2016/17 course are found under the "Public resources" tab. "Following a review of linear regression methods, students are introduced to maximum likelihood estimation and instrumental variable methods, before proceeding to a more in-depth treatment of certain classes of models that arise in economics and finance to deal with particular types of data."
A set of questions from a econometrics course as Leicester, without answers, as a six-side PDF document.
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.
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.
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.
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 is a large set of exercises keyed to chapters of the textbook "Basic Econometrics" by Damodar N. Gujarati, with suggested answers for all questions.
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.
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.