Econometrics Video Handbook (EVH)
The objectives of the Econometrics Video Handbook are to develop econometric methods for both prediction analysis and causal inference as well as to convey basic concepts in probability and statistics. A modern approach is taken to clearly distinguish prediction analysis from causal inference. While traditional econometric topics such as ordinary least squares are covered in great detail, the Handbook is oriented more towards recovering causal links among economic variables using experiments and quasi-experiments, control functions, instrumental variables, difference-in-differences, and regression discontinuity.
The Econometrics Video Handbook was developed by Professors Brendan Beare, Eli Berman, Graham Elliot, Gordon Dahl, Yixiao Sun, Kaspar Wuthrich, Joel Watson, and Melissa Famulari of the University of California San Diego, in conjunction with IT Services Educational Technology at UC San Diego and funded by an Innovative Learning Technology Initiative grant from the Office of the President of the University of California (Melissa Famulari and Joel Watson, Co-Principal Investigators). Melissa and Joel thank the Economics faculty across the University of California who wrote letters in support of our econometrics video handbook proposal in 2017. Without your support, we would not have received the funding to develop the EVH.
The EVH is maintained by Chris Chatfield, Melissa Famulari, Joel Watson and by the Social Sciences Computing Facility at UC San Diego.