Teaching Econometrics

This compendium collects advances and reflections on the teaching of econometrics from internationally well-known econometricians, including a number of accomplished textbook writers. The subjects range from reflections on many decades of teaching econometrics to studies of the instruction of specific examples and methods. It is aimed at teachers and students of econometrics at all levels.

Provides helpful tools for anyone teaching econometrics Features some of the most distinguished and well-known teachers and researchers in econometrics Discusses specific examples and methods for teaching econometrics

Autorentext

Eric Hillebrand is a professor of economics at Aarhus University, Denmark. He studied economics and mathematics at the University of Bremen, Germany, and was a faculty member at Louisiana State University, Baton Rouge, U.S. His research focuses on climate econometrics and time series econometrics, his teaching on mathematics for economists.

William Griffiths is an emeritus professor of econometrics at the University of Melbourne, Australia. He studied economics at the University of Illinois, U.S., and is the co-author of textbooks such as The Theory and Practice of Econometrics and Principles of Econometrics. His research focuses on applied Bayesian econometrics and income distributions.

Inhalt

Introduction.- Teaching Applied Econometrics.- Reflections on the Teaching of Bayesian Econometrics.- Teaching Financial Econometrics to Students Converting to Finance.- Teaching Panel Data Econometrics.- The Harm that Good Teachers Do and Other Stories.- Teaching Reproducibility and Replicability while Teaching Econometrics in the Classroom.- Learning Basic Bayesian Econometrics Using EViews.- A Software for Teaching Multivariate Time Series Analysis.- Explaining Ridge Regression and LASSO.- Nonparametric Identification.- Teaching Econometrics Students how to Model Bivariate Time Series Using Monte Carlo Data for the Purpose of Validating Leading Indicators.- Reflections on a Life of Teaching Econometrics.- Asymmetric AdaBoost for Maximum Score Estimation of High-dimension Binary Choice Regression Models.- Using Replication to Teach and Understand Econometrics.- Reflections of an Applied Econometrician.- Imputing Missing Waves for Pseudo Panels: A Generalized Scoring and Matching Method.- Quarto the Assassin.- Teaching Statistical Learning in Econometrics.- Teaching Mathematics for Economists.