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A Systems View Across Time and Space

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