This study examines the relationship between unemployment rates and oil price, oil price uncertainty, and interest rates. This relation is examined by testing for both cointegration and causality between the variables. By employing the Autoregressive Distributed Lag (ARDL) method this study managed to examine the long-run cointegration between unemployment rates oil price, oil price uncertainty, and interest rates. A modification of the ARDL method is the error correction method which was used to find the short-run dynamics and the speed of convergence back to equilibrium after a shock. Fully modified ordinary least squares (FMOLS) regression was then applied to find the optimal estimates of the long-run coefficients for the regressions. The Toda-Yamamoto Granger causality test is used to find the direction of causality between the variables. These tests were conducted on Sweden, Norway, Denmark, and Finland on monthly data from January 2008 to February 2020. A cointegration relationship was found for Sweden, Norway, and Denmark. The long-run coefficients from the FMOLS regression showed that increased oil prices lead to increased unemployment rates for Sweden and Denmark. All countries except Denmark show evidence of causality from oil prices on unemployment indicating a strong relationship between these two variables. Some countries show causality from oil price uncertainty and interest rates on unemployment rates. These results provide important guidance for policymakers on how to design good economic policies.