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

Journal of Economic Structures Cover Image

Table 2 Impact of the Internet usage intensity on the share (%) of resource revenue in total resource revenue.

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

Variables SHRESREV SHRESREV
(1) (2)
SHRESREVt−1 0.921*** (0.0204) 0.880*** (0.0465)
INTERNET 0.00838 (0.0132) − 0.0558** (0.0274)
DUMRES*INTERNET   0.0864*** (0.0226)
DUMRES   − 13.33*** (2.745)
Log(GDPC) 2.972*** (0.649) 4.286*** (1.232)
INFL − 2.924*** (0.242) − 3.908*** (0.627)
TP 0.0763** (0.0296) 0.0363 (0.0460)
INST − 3.488*** (0.366) − 2.464*** (0.577)
OILPR 12.85*** (1.704) 14.06*** (2.746)
Log(POP) − 1.705*** (0.406) − 0.742 (1.010)
Trend − 1.957*** (0.161) − 2.036*** (0.303)
Constant 8.073 (8.597) − 6.973 (20.36)
Observations—countries 493—99 493—99
Number of instruments 62 47
AR1 (p value) 0.0058 0.0047
AR2 (p value) 0.4799 0.3649
AR3 (p value) 0.3373 0.3118
Sargan (p value) 0.2141 0.1494
  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