Article ID: | iaor2012696 |
Volume: | 45 |
Issue: | 1 |
Start Page Number: | 64 |
End Page Number: | 92 |
Publication Date: | Feb 2012 |
Journal: | Canadian Journal of Economics/Revue canadienne d'conomique |
Authors: | Olivero Mara Pa, Yotov Yoto V |
Keywords: | statistics: regression |
Numerous gravity applications have resorted to panel data econometric techniques over the past decade. However, with the theory of gravity being so far only static, these estimations lack solid structural dynamic foundations. As a consequence, a consensus on a unified dynamic gravity estimation approach is yet to be reached. In this paper, (i) we build the theoretical foundations for a dynamic gravity model, (ii) we provide guidance for gravity-type estimations with panel data and we consider applications, and (iii) we calibrate and simulate our model to compare its properties with those of the standard, static gravity setup.