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Table 6 VAR estimated results

From: Interplays among R&D spending, patent and income growth: new empirical evidence from the panel of countries and groups

  Included observations: 266 after adjustments, t statistics are in [ ]
(1) (2) (3) (4)
  D(PCGDPGRTH) D(RDSHARE) D(PATENT)
D(RDSHARE(-1)) − 3.01791 0.268968 37959.42
[− 1.21524] [4.50756] [ 1.25761]
D(RDSHARE(-2)) 0.348717 0.180843 − 5398.25
[0.13739] [2.96527] [− 0.17499]
D(PATENT(-1)) − 5.97E–06 1.96E-07 0.535536
[− 0.92276] [1.26268] [6.81089]
D(PATENT(-2)) − 2.50E–06 6.62E-08 0.265961
[− 0.32431] [0.35717] [2.83766]
D(PCGDPGRTH(-1)) − 0.50584 0.005315 884.6956
[− 8.58711] [3.75547] [1.23567]
D(PCGDPGRTH(-2)) − 0.32927 0.005604 − 417.358
[− 5.74055] [4.06651] [− 0.59866]
C 0.226961 0.016377 3694.233
  [1.21645] [3.65309] [1.62907]
R-squared 0.27056 0.224309 0.553938
Adj. R-squared 0.253662 0.20634 0.543605
Sum sq. resids 1573.825 0.908623 2.32E + 11
S.E. equation 2.465065 0.05923 29,961.02
F statistic 16.01119 12.48265 53.60617
Log likelihood − 613.881 377.9121 − 3115.73
Akaike AIC 4.668277 − 2.78881 23.47915
Schwarz SC 4.762579 − 2.69451 23.57345
Mean dependent 0.027685 0.035921 20,700.14
SD dependent 2.853387 0.066485 44,349.22
  1. Note: Optimum lag has been derived as 2. The bold figures indicate statistically significant results
  2. Source: computed by the authors using Eviews