Showing papers by "Laura Serlenga published in 2017"
01 Jan 2017
TL;DR: Three-dimensional panel data models with threeway error components that allow for strong cross-sectional dependence (CSD) through unobserved heterogeneous global factors are developed, and appropriate consistent estimation procedures are proposed.
Abstract: Given the growing availability of big datasets which contain information on multiple dimensions and following the recent research trend on multidimensional modelling, we develop three-dimensional panel data models with threeway error components that allow for strong cross-sectional dependence (CSD) through unobserved heterogeneous global factors, and propose appropriate consistent estimation procedures. We also discuss the extent of CSD in 3D models and provide a diagnostic test for cross-sectional dependence. We provide the extensions to unbalanced panels and 4D models. The validity of the proposed approach is confirmed by the Monte Carlo simulation results. We also demonstrate the empirical usefulness through the application to the 3D panel gravity model of the intra-EU trade flows.
5 citations
TL;DR: In this paper, the authors compared the productivity ranking of alternative modes of internationalization for a panel of Italian manufacturing firms that are either purely domestic or internationally engaged in exports, foreign sourcing, and foreign direct investment.
3 citations