We use the differences between life satisfaction and emotional well-being of employed and unemployed persons to analyze how a person’s employment status affects cognitive well-being. Our results show that unemployment has a negative impact on cognitive, but not on affective well-being, which...

We apply the Day Reconstruction Method to compare unemployed and employed people with respect to their subjective assessment of emotional affects, differences in the composition and duration of activities during the course of a day, and their self-reported life satisfaction. Employed persons are...

This paper employs social identity and self-categorization theories as a useful heuristic framework through which to learn more about the nature of the misery experienced by the unemployed; in economic terms, the individual cost of unemployment. Utilizing this framework, the paper provides...

This paper shows that outsourcing of parts of the workforce in unionized firms leads to wage moderation and as long as the share of the outsourced workforce is not too large, this wage-moderation effect on domestic employment outweighs the direct substitution effect so that domestic employment...

This paper investigates the statistical features and the macroeconomic determinants of youth unemployment in a number of European countries. First, it explores its short and long memory properties by estimating both autoregressive and fractional integration models. This type of analysis sheds...

This paper examines the degree of persistence of youth unemployment (total, male and female) in twenty-four countries by using two alternative measures: the AR coefficient and the fractional differencing parameter, based on short- and long-memory processes respectively. The evidence suggests...

This paper develops a unified framework for fixed and random effects estimation of higher-order spatial autoregressive panel data models with spatial autoregressive disturbances and heteroskedasticity of unknown form in the idiosyncratic error component. We derive the moment conditions and...

This paper presents a generalized moments (GM) approach to estimating an R-th order spatial regressive process in a panel data error component model. We derive moment conditions to estimate the parameters of the higher order spatial regressive process and the optimal weighting matrix required to...

Recent research in international economics highlights the role of interdependencies of investment decisions and sales of multinational firms. Previous work focused on and provided evidence for aggregate flows or stocks of foreign direct investment, showing that interdependence declines in...

This paper develops an estimator for higher-order spatial autoregressive panel data error component models with spatial autoregressive disturbances, SARAR(R,S). We derive the moment conditions and optimal weighting matrix without distributional assumptions for a generalized moments (GM)...