Project CEMAPRE internal
| Title | Essays in Spatial Econometrics |
| Participants | Isabel Proença (Principal Investigator) |
| Summary | This project aims to contribute to the spatial data literature in twofold. First, with the specification and estimation of nonlinear parametric models. Second, with empirical applications in management and economics. In recent years, several authors discussed the importance of modelling cross-sectional dependence in spatial data, due to the interactions established between different units (regions, firms, ...) inside the same country or a well-defined area. Ignoring such dependence structure may lead to misleading economic interpretation and biased estimates, especially when N is large. In one hand, with regard to the complexity of introducing these spatial interactions in the estimation, innovative methods and algorithms will be introduced, and Monte Carlo simulations will be conducted. On the other hand, empirical applications taking into account spatial dependency will be performed. |