Threshold autoregression (Post-COVID technology adoption)
| Countries | Threshold variable (technology) | Wald-test | |
|---|---|---|---|
| Low (0) | High (1) | ||
| USA | −0.021 | −0.117*** | |
| (−0.702) | (−4.769) | (2.554) ** | |
| Germany | −0.001 | −0.009 | |
| (−0.021) | (−0.312) | (0.216) | |
| Japan | −0.053** | 0.029 | |
| (−2.219) | (0.876) | (−1.995) ** | |
| Brazil | −0.004 | −0.158*** | |
| (−0.171) | (6.649) | (4.032) *** | |
| Saudi Arabia | 0.152*** | 0.093** | |
| (6.649) | (2.801) | (1.478) | |
| China | 0.048** | 0.015 | |
| (2.219) | (0.371) | (0.709) | |
| Bahrain | 0.069** | 0.107*** | |
| (2.697) | (3.788) | (−0.992) | |
| Pakistan | 0.167*** | 0.093** | |
| (6.836) | (3.114) | (1.931) * | |
| Jamaica | −0.044* | 0.033 | |
| (−1.926) | (0.961) | (−1.864) * | |
| Palestine | 0.188*** | 0.123*** | |
| (7.932) | (3.829) | (1.630) | |
| Countries | Threshold variable (technology) | Wald-test | |
|---|---|---|---|
| Low (0) | High (1) | ||
| USA | −0.021 | −0.117*** | |
| (−0.702) | (−4.769) | (2.554) ** | |
| Germany | −0.001 | −0.009 | |
| (−0.021) | (−0.312) | (0.216) | |
| Japan | −0.053** | 0.029 | |
| (−2.219) | (0.876) | (−1.995) ** | |
| Brazil | −0.004 | −0.158*** | |
| (−0.171) | (6.649) | (4.032) *** | |
| Saudi Arabia | 0.152*** | 0.093** | |
| (6.649) | (2.801) | (1.478) | |
| China | 0.048** | 0.015 | |
| (2.219) | (0.371) | (0.709) | |
| Bahrain | 0.069** | 0.107*** | |
| (2.697) | (3.788) | (−0.992) | |
| Pakistan | 0.167*** | 0.093** | |
| (6.836) | (3.114) | (1.931) * | |
| Jamaica | −0.044* | 0.033 | |
| (−1.926) | (0.961) | (−1.864) * | |
| Palestine | 0.188*** | 0.123*** | |
| (7.932) | (3.829) | (1.630) | |
Note(s): * = Value significant at (p < 0.1)
** = Value significant at (p < 0.05)
*** = Value Significant at (p < 0.01)
Parenthesis ( ) = t-statistics
Threshold values = Threshold regression coefficient of Return (t−1)
Source(s): Table by authors
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