This paper re-examines Lilien’s sectoral shifts hypothesis for U.S. unemployment. We employ a monthly panel that spans from 1990:01 to 2011:12 for 48 U.S. states. Panel unit root tests that allow for crosssectional dependence reveal the stationarity of unemployment. Within a framework that...

This study revisits Lilien’s sectoral shifts hypothesis for the US. We employ quantile regression estimation in order to investigate the asymmetric nature of the relationship between sectoral employment and unemployment. Significant asymmetries emerge. Lilien’s dispersion index is...

This study revisits Lilien’s sectoral shifts hypothesis for the US. We employ quantile regression estimation in order to investigate the asymmetric nature of the relationship between sectoral employment and unemployment. Significant asymmetries emerge. Lilien’s dispersion index is...

This study revisits the sectoral shifts hypothesis for the US for the period 1948 to 2011. A quantile regression approach is employed in order to investigate the asymmetric nature of the relationship between sectoral employment and unemployment. Significant asymmetries emerge. Lilien’s...

We develop a generalised impulse response function (GIRF) approach to explore the different impacts of aggregate and sectoral shocks within a VAR-GARCH-M model. Using the output of our GIRF analysis, we explore the behaviour of three European countries (Germany, Spain and the UK). We analyse the...

The assumption of linearity is tested using five statistical tests for the US and Canadian unemployment rates, growth rates of the sectoral shares of construction, finance, manufacturing and trade sectors. An AR(p) model was used to remove any linear structure from the series. Evidence of...

The non-linearity of macroeconomic processes is becoming an increasingly important issue both at theoretical and empirical level. This trend holds for labour market variables as well. Reallocation theory of unemployment relies on non-linearities. At the same time there is mounting empirical...

A short presentation and description of the papers that have been selected from the second workshop of the Regional Studies Research Network on Geographical Localisation, Intersectoral Reallocation of Labour and Unemployment Differentials (GLUNLAB II)) that took place in Rimini, Italy, on May...

We develop a generalised impulse response function (GIRF) approach to explore the different impacts of aggregate and sectoral shocks within a VAR-GARCH-M model. Using the outout of our GIRF analysis, we explore the behaviour of three European countries(Gremany, Spain and the UK). We analyse the...