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In the mainstream real business cycle (RBC) model, labor can be viewed as temporary employment since the firm's demand for labor behaves directly in response to stochastic productivity shocks in each period. This paper provides a tractable way of analyzing fluctuations in permanent and temporary employment over the business cycle, as well as the underlying driving forces. This inclusion of heterogeneity helps reconcile the RBC model with the U.S. data given that temporary employees in general only account for a small proportion of total private‐sector employment (about 2%–3%). We draw an explicit division between permanent and temporary employment and resort to this separation to account for stylized facts that characterize a two‐tier labor market. In particular, with regard to the U.S. labor market, our benchmark model can well explain the motivating facts: (1) temporary employment is much more volatile than permanent employment, (2) the share of temporary employment (the ratio of temporary to aggregate employment) exhibits strong pro‐cyclicality, (3) permanent employment lags by two quarters on average, and (4) the correlation between temporary employment and output is stronger than that involving the permanent counterpart. The quantitative analysis suggests that our proposed channels explain the main facts well and the model further provides plausible reasoning for a firm's labor hoarding. [ABSTRACT FROM AUTHOR]

The aim of this research was to study the influence of related variety on the economic performance of Spanish provinces during the international crisis (2009–2013) and the post‐crisis period (2014–2018), with the goal of contributing to assess the validity of the skill‐relatedness approach. The research is based on labor flows in a sample of more than one million affiliated workers. Our results confirmed the influence of related variety on the growth of GDP and employment in knowledge‐based industries, in protecting against unemployment, as well as on the creation of new firms, although with marked differences according to the economic cycle. Robustness issues and possible lines of progress using this novel methodology are also discussed. [ABSTRACT FROM AUTHOR]

We determine the properties of the core-periphery model with three regions and compare our results with those of the standard 2-region model. The conditions for the stability of dispersion and concentration are established. As in the 2-region model, dispersion and concentration can be simultaneously stable. We show that the 3-region (2-region) model favours the concentration (dispersion) of economic activity. Furthermore, we provide some results for the n-region model. We show that the stability of concentration of the 2-region model implies that of any model with an even number of regions. Determinamos las propiedades de un modelo núcleo-periferia de tres regiones y comparamos nuestros resultados con los del modelo estándar de dos regiones. Se establecen las condiciones para la estabilidad de la dispersión y la concentración. Al igual que en el modelo de dos regiones, la dispersión y la concentración pueden ser estables simultáneamente. Mostramos que el modelo de tres regiones (dos regiones) favorece la concentración (dispersión) de la actividad económica. Además, aportamos algunos resultados para un modelo n-regional. Mostramos que la estabilidad de la concentración del modelo bi-regional implica eso mismo de cualquier modelo con un número par de regiones. [ABSTRACT FROM AUTHOR]