This paper investigates the effect of oil price shocks on government expenditures on the health and education sectors in Saudi Arabia. Using a quarterly dataset 1990Q1-2017Q2 and employing a non-linear autoregressive distributed lag (NARDL) model, our research shows evidence of a non-linear relationship between oil prices and government expenditures in Saudi Arabia, where a negative oil price shock would have a statistically significant different impact in the long run compared to a positive shock. We build upon our empirical findings and draw some policy recommendations for Vision 2030 of Saudi Arabia.
This paper investigates the effect of oil price shocks on government expenditures on the health and education sectors in Saudi Arabia. Using a quarterly dataset 1990Q1-2017Q2 and employing a non-linear autoregressive distributed lag (NARDL) model, our research shows evidence of a non-linear relationship between oil prices and government expenditures in Saudi Arabia, where a negative oil price shock would have a statistically significant different impact in the long run compared to a positive shock. We build upon our empirical findings and draw some policy recommendations for Vision 2030 of Saudi Arabia.
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