Chinese Commodity Price Evidence Study for COVID-19 Shock and Price Stickiness Model Design
Table 5
Correlations and regression results.
Index
(1) Correlation
(2)
Coefficient
value
All
π
1.00
—
—
frt
0.095
0.718
0.171
dpt
0.601
6.861
0.001
Food
π
1.00
—
—
frt
0.135
0.846
0.042
dpt
0.778
7.280
0.001
Clothing
π
1.00
—
—
frt
0.286
0.072
0.001
dpt
0.806
0.199
0.001
Residence
π
1.00
—
—
frt
−0.029
−0.413
0.538
dpt
0.5214
23.782
0.001
Household equipment
π
1.00
—
—
frt
0.000
−0.074
0.904
dpt
0.779
5.701
0.001
Transport, post, and telecommunication
π
1.00
—
—
frt
−0.045
−0.415
0.598
dpt
0.756
8.319
0.001
Culture, education, and recreation
π
1.00
—
—
frt
−0.032
−0.148
0.767
dpt
0.879
8.218
0.001
Medicine and health care
π
1.00
—
—
frt
0.032
0.122
0.777
dpt
0.540
8.143
0.001
Other goods and services
π
1.00
—
—
frt
0.132
0.944
0.064
dpt
0.800
4.001
0.001
Notes: Column 1 shows correlation coefficient between inflation (), fraction (), and magnitude (). Column 2 is the regression coefficient and p-value that inflation () regress on fraction () and magnitude ().