Authors: Ornela Shalari; Ermelinda Laho; Anita Gumeni
Addresses: Faculty of Economics, University of Tirana, Saranda Branch, Albania ' MAASBESA, 160 Commonwealth Avenue, Boston, MA 02116, USA ' Faculty of Economics, University of Tirana, Saranda Branch, Albania
Abstract: This paper studies the unemployment rate in Albania for asymmetry and long run memory. Research suggests that nonlinearities are inherent characteristics of economic time series. Failing to account for these aspects leads to lower explanatory and predictive power of economic models. The regime switching models augmented by inclusion of 'current depth of the recession' (CDR) variable is considered to account for asymmetry and therefore nonlinearity. The fractionally integrated time series model is employed to account for long-memory. The empirical results suggest the presence of asymmetry, while finding no evidence of it being persistent. Negative shocks have bigger impact on the unemployment rate in Albania than positive shocks. An important lesson for policy design is that while economic policy can be more prudent during expansions, greater maneuvering room may need to be built in economic policy to be able to respond to the bigger impact of negative shocks.
Keywords: unemployment rate; Albania; asymmetry; long run memory; ARFIMA processes; current depth of recession; nonlinearity; persistence; negative shocks; positive shocks; fractional integration; economic time series; regime switching models; economic policy; modelling.
International Journal of Economic Policy in Emerging Economies, 2015 Vol.8 No.3, pp.229 - 244
Available online: 09 Oct 2015 *Full-text access for editors Access for subscribers Purchase this article Comment on this article