Del 56 i serien Advanced Studies in Theoretical and Applied Econometrics

Teaching Econometrics

A Tribute to R. Carter Hill

Inbunden, Engelska, 2026

2 519 kr

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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.

Produktinformation

Utgivningsdatum2026-01-21
Mått155 x 235 x 28 mm
Vikt774 g
FormatInbunden
SpråkEngelska
SerieAdvanced Studies in Theoretical and Applied Econometrics
Antal sidor399
FörlagSpringer International Publishing AG
ISBN9783031979415

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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.

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.