Publication: Forecasting countries' gross domestic product from patent data
Forecasting countries' gross domestic product from patent data
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Ye, Y., Xu, S., Mariani, M. S., & Lu, L. (2022). Forecasting countries’ gross domestic product from patent data. Chaos, Solitons & Fractals, 160, 112234–112234. https://doi.org/10.1016/j.chaos.2022.112234
Abstract
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Recent strides in economic complexity have shown that the future economic development of nations can be predicted with a single “economic fitness” variable, which captures countries' competitiveness in international trade. The predictions by this low-dimensional approach could match or even outperform predictions based on much more sophisticated methods, such as those by the International Monetary Fund (IMF). However, all prior works in economic complexity aimed to quantify countries' fitness from World Trade export data, without cons
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- Ye, Yucheng
- Xu, Shuqi
- Lu, Linyuan
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Citations
Ye, Y., Xu, S., Mariani, M. S., & Lu, L. (2022). Forecasting countries’ gross domestic product from patent data. Chaos, Solitons & Fractals, 160, 112234–112234. https://doi.org/10.1016/j.chaos.2022.112234
