@article{UNY23258,
            year = {2015},
       publisher = {Faculty of Mathematics and Sciences Yogyakarta State University},
           title = {MODELING ECONOMIC GROWTH OF DISTRICTS IN THE PROVINCE OF BALI
USING SPATIAL ECONOMETRIC PANEL DATA MODEL},
          author = {. Ni Ketut Tri Utami and . Setiawan},
         journal = {Proceeding of  International Conference On Research, Implementation And Education  Of Mathematics And Sciences 2015 (ICRIEMS 2015), Yogyakarta State University, 17-19 May 2015},
        abstract = {Economic growth is an important indicator to point out the success of regional development. On the framework of planning and evaluating regional development, an econometric model used to model the economic growth will be required. Since regional economic growth is often related to other regions, it is necessary to propose an econometric model that can accommodate spatial dependencies between regions. The application of spatial econometric model in modeling economic growth of districts in the Province of Bali will be constrained due to limitation on the cross sectional unit which are only nine districts. It can be overcome by using panel data, hence spatial econometric panel data models will be used to model the economic growth of districts in the Province of Bali. The kind of spatial weight used in this research is customized in order to suit the characteristics of the regions in the Province of Bali. Customized weight is formed based on the share of common side or vertex as the queen contiguity and also consider the existence Denpasar and Badung as the center of economic activities. Therefore, it can be assumed that they have a relationship with each district in the Province of Bali. The result of this research shows that the best model is Spatial Error Model (SEM) random effect and the significant variables on influencing the economic growth of districts in the Province of Bali such as: local revenue, capital expenditures, electrification ratio, mean years school and gross enrollment rate.

Key words: econometrics, economic growth, panel data, spatial},
             url = {http://eprints.uny.ac.id/23258/}
}