Modeling unemployment volatility in America,Europe and Asia

Many government policies are being implemented to stabilize the economy. One of the policies necessary to achieve stabilization is full employment. However, the growth rate of unemployment in many countries is evident and seems more volatile in recent years. To counterattack the unemployment problem, the volatility of the growth rate of unemployment has to be known in order to launch appropriate policies correctly. Therefore, conditional volatility models are employed to estimate the volatility with symmetric and asymmetric effects. The monthly data on unemployment is downloaded to calculate the rate of change. The consistency and asymptotic normality of the QMLE are guaranteed by the moment conditions. The GARCH model shows that a shock to the growth rate of unemployment in most cases has long-run persistence, but relatively less for short-run persistence. The G JR model reports the asymmetric effects in 10 of 25 countries. The EGARCH model illustrates asymmetric effects in 12 of 25 countries, while 3 of them show leverage. VaR forecasts and counts of number of violations suggest that the univariate conditional models are practicable in most countries, and the G JR model seems to be preferable in cases with a large difference in the number of violations.