英文摘要 |
This paper aims to introduce a new election prediction method which is called the 'spatial signals approach'. The spatial signals approach is a direct extension of the KLR signals approach of Kaminsky et al . (1998), which was developed as an early warning system of crisis prediction. There are two research purposes of this paper; the first is to examine the neighborhood effect of presidential elections in Taiwan, and the second is to verify the effectiveness of prediction of the presidential elections in Taiwan by the spatial signals approach. Our empirical data comprised of the results of the 10th, 11th, 12th and 13th presidential elections from 2000 to 2012. The spatial units of the spatial signals approach are villages. We find that the spatial signals approach is a better fit for the outcome of the presidential election. The findings also reveal that the best forecast accuracy is almost up to 90 percent, and the other forecast accuracy is 70 percent on average. This study concludes that the prediction accuracy of the spatial signals approach is good for predicting the outcome of presidential elections in Taiwan, and shows that the presidential elections in Taiwan indeed exhibit the neighborhood effect. |