This paper fills a gap in the literature by investigating whether temporary agency employment substitutes regular employment. To take into account the interaction between the two employment forms, we identify a SVAR model with correlated innovations by volatility regimes. We show that a positive shock to temporary agency employment increases overall employment, but also leads to substitution of...

Within the approaches that have been applied to assess the impact of public capital on economic growth, this paper estimates the dynamic effects of public infrastructures using a structural vector autoregressive (SVAR) methodology for the Spanish regions. From a methodological point of view, our work contains different innovative features with respect to the previous studies using VAR models. T...

We present a time-bounded state-based communication mechanism for dynamically reconfigurable embedded systems. The mechanism is a single-processor, low-overhead version of the Chimera state-variable mechanism, that was developed for state-based communication in multi-processor environments. The new design is suitable for execution on low-performance embedded processors, uses less memory, and su...

This study investigates the influence of oil price shocks on GDP per capita, exchange rate, and total trade turnover in Azerbaijan using Structural Vector Autoregressive (SVAR) method to data collected from 1992 2019. The estimation results SVAR conclude that (rise prices) affect capita positively, whereas its rate is negative case Azerbaijan. According this study, similar oil-exporting countri...

This paper proposes a Bayesian approach to assess if the data support candidate set-identifying restrictions for Vector Autoregressive models. The researcher is uncertain about the validity of some sign restrictions that she is contemplating to use. She therefore expresses her uncertainty with a prior distribution that covers the parameter space both where the restrictions are satisfied and whe...