Relations between organizational commitment and focal and discretionary behaviours

The purpose of this paper is to analyse the relations between organizational commitment (OC) dimensions and two focal and discretionary behaviours (intention to stay and organizational citizenship behaviour). Drawing on a sample of 310 Spanish employees of small services firms, this research reveals that in contrast to recent findings that detected a nonlinear (inverted U-shaped) relationship between continuance commitment and intention to stay, the form of the relationships between OC dimensions and the proposed outcomes is linear rather than nonlinear. Furthermore, when dividing continuance commitment into two subcomponents, the research results indicate that the dimension associated with commitment based on few existing employment alternatives is significantly, negatively and linearly related to intention to stay and organizational citizenship behaviour. This suggests that the three-component model of OC suffers from a conceptual inconsistency, which is further discussed.     

Ruin probabilities in classical risk models with gamma claims

In this paper, we provide three equivalent expressions for ruin probabilities in a Cramér–Lundberg model with gamma distributed claims. The results are solutions of integro-differential equations, derived by means of (inverse) Laplace transforms. All the three formulas have infinite series forms, two involving Mittag–Leffler functions and the third one involving moments of the claims distribution. This last result applies to any other claim size distributions that exhibits finite moments.     

Ruin probabilities in models with a Markov chain dependence structure

In this paper we derive explicit expressions for the probability of ruin in a renewal risk model with dependence among the increments (Z _k ) _k>0. We study the case where the dependence structure among (Z _k ) _k>0 is driven by a Markov chain with a transition kernel that can be described via ordinary differential equations with constant coefficients.     

Unemployment or credit: Which one holds the potential? Results for a small open economy with a low degree of financialization

This paper investigates the relative importance of unemployment versus credit in determining the potential level of real activity for a small open economy with a low degree of financialization. We use a multivariate unobserved component model (MUC) to derive the potential output and the associated output gap for the Lithuanian economy. The model is estimated via Bayesian methods and the time paths of unobserved variables are extracted via the Kalman filter. The inclusion of unemployment in the MUC model substantially improves the estimates of the output gap in real time. Adding information about credit further emphasizes the overheating of the economy in the pre-crisis period, both in real time and ex post. Including credit preserves the conclusions regarding turning points. We uncover a strong negative correlation between the model-implied unemployment gap (without accounting for credit) and real credit growth. Data revisions do not appear to be the primary source of revisions of output gap estimates.