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

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