Wolfgang Hess (), Maria Persson (), Stephanie Rubenbauer () and Jan Gertheiss ()
Wolfgang Hess: Department of Economics, Lund University, Postal: Department of Economics, School of Economics and Management, Lund University, Box 7082, S-220 07 Lund, Sweden
Maria Persson: Department of Economics, Lund University, Postal: Department of Economics, School of Economics and Management, Lund University, Box 7082, S-220 07 Lund, Sweden
Stephanie Rubenbauer: Department of Statistics, Ludwig-Maximilians-University Munich
Jan Gertheiss: Department of Statistics, Ludwig-Maximilians-University Munich
Abstract: When analyzing panel data using regression models, it is often reasonable to allow for time-varying covariate effects. We propose a novel approach to modelling timevarying coefficients in panel data regressions, which is based on penalized regression techniques. To illustrate the usefulness of this approach, we revisit the well-known empirical puzzle of the 'death of distance' in international trade. We find significant differences between results obtained with the proposed estimator and those obtained with 'traditional' methods. The proposed method can also be used for model selection, and to allow covariate effects to vary over other dimensions than time.
30 pages, February 19, 2013
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