研究文章
大数据驱动的宏观经济预测模型和心理决策行为分析工业4.0
|
| 消费者价格指数 |
h= 1 |
h= 3 |
h= 6 |
h= 12 |
知识产权 |
h= 1 |
h= 3 |
h= 6 |
h= 12 |
|
| 的意思是 |
1.622 |
1.675 |
1.750 |
2.189 |
的意思是 |
3.667 |
3.764 |
3.906 |
4.253 |
| 马 |
0.656 |
0.997 |
1.476 |
2.195 |
马 |
1.741 |
1.992 |
2.490 |
2.869 |
| AR (1) |
0.423 |
0.826 |
1.352 |
2.082 |
AR (1) |
2.062 |
2.250 |
2.779 |
3.390 |
| AR (p) |
0.457 |
0.858 |
1.447 |
2.304 |
AR (p) |
2.214 |
2.094 |
2.592 |
3.115 |
| 臂(1,1) |
0.424 |
0.786 |
1.296 |
1.910 |
臂(1,1) |
2.163 |
2.313 |
2.927 |
3.766 |
| VAR (p) |
0.480 |
0.975 |
1.711 |
2.870 |
VAR (p) |
2.227 |
2.383 |
3.158 |
4.293 |
| BVAR |
0.441 |
0.838 |
1.561 |
2.028 |
BVAR |
2.184 |
2.272 |
2.722 |
3.747 |
| 因素(2) |
0.497 |
0.868 |
1.301 |
1.767 |
因素(2) |
2.011 |
2.142 |
2.603 |
3.060 |
| 因子(k) |
0.472 |
0.896 |
1.321 |
1.831 |
因子(k) |
2.024 |
2.177 |
2.615 |
3.087 |
|
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