Abstract:
Unemployment rate is one of the economic indicators that has always been considered by policy makers and economists. Numerous factors and economic variables affect this index. Given the economic conditions of Iran as an oil exporter and the imposition of economic sanctions as well as the Islamic banking system, it is necessary to study the impact of oil prices and interest rate as two key variables. In this study, in order to investigate the effects of oil price changes and interest rates on employment, the linear autoregressive distributed lag (ARDL) of Pesaran et al. (2001) and the asymmetric nonlinear NARDL model of Shin et al. (2013) were used. Asymmetry in the nonlinear model is represented via positive and negative partial sum decomposition of oil price and interest rate. ARDL suggests that although oil price and interest rate changes have minor short run effects but they have significant long run effects in all the cases. The NARDL model presents a different picture of the effects of changes in oil prices and interest rates on the unemployment rate. While in the short run, the changes of oil price have no effect on the unemployment rate and only changes in interest rates affect it, in the long run, in addition to interest rates, rising oil prices also affect the unemployment rate. The results of the study show that in the short and long term, falling interest rates have more effects than increasing it and increasing oil prices have more effects than reducing it.
Machine summary:
Investigating the asymmetric effects of oil price changes and interest rates on the unemployment rate in Iran, a NARDL approach Maryam Ebrahimi ** Kambiz Hejbar Kiani Abstract The unemployment rate is one of the economic indicators that has always been of interest to economists and policymakers.
In this study, in order to test and investigate the effects of changes in oil prices and interest rates on the unemployment rate in Iran, the linear Autoregressive Distributed Lag (ARDL)1 model by Pesaran et al.
Mahim Sheikhtash and Touba Khorramabadi (2016) investigated the relationship between oil prices and the unemployment rate using the Johansen cointegration method and Toda-Yamamoto causality test.
To investigate the effects of changes in oil prices on the unemployment rate, the symmetric linear ARDL model of Pesaran et al.
Caporale & Pittis the existence of fractional (decimal) cointegration and unit root will be valid (Pesaran, (1997 Since the variables may be cointegrated with each other, by writing we have the long-term relationship between the variables of interest: (refer to the page image) where B1 and B2 are the long-term coefficients measuring the effect of oil price changes and interest rates on the unemployment rate, and t3 is the error term.
Trend of changes in interest rate, oil price, and unemployment rate in Iran (refer to the page image) Source: Research findings In Table 1, the variables used in the model are introduced along with their respective descriptive statistics.
Asymmetric analysis of oil price and income shocks on Iran's unemployment rate using the NARDL model.
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