Table 3.
Results of multifactorial regression models processed to assess the drivers of competitiveness, EU-CEECs-11, 2000–2018.
Source: Authors’ contribution in Stata 16
| (1) | (2) | (3) | (4) | |
|---|---|---|---|---|
| log_GCI | log_GCI | log_GCI | log_GCI | |
| RREG | PCSE | 2SLS-IV | GMM | |
| log_GERD |
0.00136 (0.0137) |
− 0.000622 (0.00876) |
− 0.000622 (0.0130) |
− 0.0156 (0.0103) |
| log_HTech |
0.00574 (0.0162) |
0.00596 (0.0110) |
0.00596 (0.0154) |
0.0262 (0.0188) |
| log_LLL |
0.0531*** (0.0153) |
0.0547*** (0.0119) |
0.0547*** (0.0145) |
0.0279 (0.0194) |
| log_TE |
0.0545*** (0.0128) |
0.0483*** (0.0132) |
0.0483*** (0.0121) |
0.0234 (0.0156) |
| log_Patents |
0.00897* (0.00346) |
0.00919*** (0.00194) |
0.00919** (0.00328) |
0.00636 (0.00611) |
| L.log_GCI |
0.546*** (0.0863) |
|||
| _cons |
1.112*** (0.0634) |
1.128*** (0.0417) |
1.128*** (0.0601) |
0.595*** (0.155) |
| N | 108 | 108 | 108 | 95 |
| R2 | 0.475 | 0.478 | 0.478 |
Standard errors in parentheses, *p < 0.05; **p < 0.01; ***p < 0.001