Econometrics Seminar: Didier Nibbering (Monash University)
The School of Economics invites you to an Econometrics seminar presented by Didier Nibbering (Monash University).
Panel Forecasting with Asymmetric Grouping
Richard Paap (Erasmus University Rotterdam)
This paper proposes an asymmetric grouping estimator for panel data forecasting. The estimator relies on the observation that the bias-variance trade-oﬀ in potentially heterogeneous panel data may be different across individuals. Hence, the group of individuals used for parameter estimation that is optimal in terms of forecast accuracy, may be diﬀerent for each individual. For a speciﬁc individual, the estimator uses cross-validation to estimate the bias-variance of all individual groupings, and uses the parameter estimates of the optimal grouping to produce the individual-speciﬁc forecast. Integer programming and screening methods deal with the combinatorial problem of a large number of individuals. A simulation study and an application to market leverage forecasts of U.S. ﬁrms demonstrate the promising performance of our new estimators.
Link to full paper here: Asymmetric_Grouping190902