将阻尼振荡器引入 DSGE 模型
计算机视觉与模式识别
2025-02-21 v2
摘要
本文将阻尼振荡器引入 DSGE 模型，以更好地捕捉经济调整的延迟效应。通过引入阻尼系数，我将经济恢复建模为非阻尼、临界阻尼或过阻尼过程。数值仿真说明，不同阻尼水平如何影响恢复速度和稳定性。这种方法增强了 DSGE 模型的现实性，为历史经济危机提供洞见，并提高宏观经济预测的准确性。
引用
@article{arxiv.2502.06527,
title = {CustomVideoX: 3D Reference Attention Driven Dynamic Adaptation for Zero-Shot Customized Video Diffusion Transformers},
author = {D. She and Mushui Liu and Jingxuan Pang and Jin Wang and Zhen Yang and Wanggui He and Guanghao Zhang and Yi Wang and Qihan Huang and Haobin Tang and Yunlong Yu and Siming Fu},
journal= {arXiv preprint arXiv:2502.06527},
year = {2025}
}
备注
Section 4 in CustomVideoX Entity Region-Aware Enhancement has description errors. The compared methods data of Table I lacks other metrics