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The Official Journal of the Pan-Pacific Association of Input-Output Studies (PAPAIOS)

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Table 5 Does the impact of the Internet usage intensity on the share (%) of resource revenue in total resource revenue depend on countries’ level of development?

From: Internet and the structure of public revenue: resource revenue versus non-resource revenue

Variables SHRESREV
(1)
SHRESREVt−1 0.835*** (0.0173)
INTERNET − 0.285*** (0.0353)
[Log(GDPC)]*[INTERNET] 0.0202*** (0.00337)
Log(GDPC) 4.350*** (0.714)
DUMRES*INTERNET 0.0878*** (0.00814)
DUMRES − 14.22*** (1.206)
TP 0.0623*** (0.0174)
INFL − 2.207*** (0.178)
OILPR 16.70*** (1.211)
Log(POP) − 0.448 (0.427)
INST − 2.646*** (0.351)
Trend − 1.937*** (0.131)
Constant − 16.23 (10.87)
Observations—countries 493—99
Number of instruments 77
AR1 (p value) 0.0053
AR2 (p value) 0.6113
AR3 (p value) 0.5193
Sargan (p value) 0.1859
  1. *p value < 0.1; **p value < 0.05; ***p value < 0.01. Robust standard errors are in parenthesis. The variables “Log(GDPC)”, “INFL”, and “TP” have been considered as endogenous. The other variables have been considered as exogenous. In particular, the variable “INST” has been considered as exogenous for two reasons: first, it changes little over time; second, the use of factor analysis severely mitigates the endogeneity concern that could stem from the reverse causality from the dependent variable