Could immigration explain wage inequality in a skill-biased technological model?

The aim of this paper is to evaluate how immigration of high-skilled workers affects the technological-knowledge bias and, in turn, the skill premium in the host countries, in particular bearing in mind the recent experience in a number of European countries. We study a skill-biased dynamic general equilibrium R&D growth model in which the standard R&D technology is modified so wage inequality results from the direction of the technological knowledge, which in turn is induced by the price channel. By solving the transitional dynamics numerically, we show that the rise of the skill premium arises from the price-channel effect, complemented with a mechanism that reflects the impact of immigration on R&D. According to our quantitative results, our model is able to account for a significant proportion of the dynamics of the skill premium in the data for a number of European countries, thus, suggesting that differences in labour skills between immigrants and natives are, in practice, an important source of skill premium variation over time.     

Regional entrepreneurship capital and firm production

Certain theories suggest that the capacity of a region to generate new firms, called entrepreneurship capital, has positive spillover effects on the production of the firms in that region. Evidence generated with aggregated data at the regional level supports this prediction. This paper argues that, using aggregated data at the regional level, entrepreneurship capital could be correlated with regional production even if entrepreneurship capital has no spillover effects on firm production. This will not be the case when data at the firm level are used. This paper provides evidence from a sample of 11,276 Spanish firms during the 2004–2012 period. Positive spillovers are estimated in between effects models, but such spillovers are only found in technological firms when within effects models have been estimated. Thus, the regional entrepreneurship capital spillovers are unclear when data at the firm level are used. Plausible interpretations and implications are discussed.     

Modeling the response capability of a production system

This work is aimed at investigating the impact of labor flexibility and machine flexibility in the response capability of a production system in the clothing industry. To do this the response capability of a production system is modeled as a function of different flexibilities. From this model a 3² factorial experimental design is configured, which is implemented in the Arena 7.01 simulation language. The results show greater importance of machine flexibility compared to labor flexibility for the types of variability studied, and the performance of a production system when a high level of flexibility is used is similar to that in which a medium level is used.     

The Export Performance of the 2004 EU Enlargement Economies since the 1990s: a Constant Market Share Analysis

This study focuses on the export performance of the 2004 European Union (EU) enlargement economies to the EU15 between 1990 and 2013. The long time span analysed allows to capture different stages in the relationship of these new members with the EU before and after accession. The study is based on the constant market share methodology of decomposing an ex-post country’s export performance into different effects. Two constant market share analyses were selected in order to disentangle (i) the growth rate of exports and (ii) the growth rate of exports relatively to the world. Both approaches are applied to manufactured products grouping products in different classifications of sectors. Results provide information on export performance for the ten economies individually considered, including the importance of each EU15 destination market.     

How Persistent is Stock Return Volatility? An Answer with Markov Regime Switching Stochastic Volatility Models

Abstract:  We propose generalised stochastic volatility models with Markov regime changing state equations (SVMRS) to investigate the important properties of volatility in stock returns, specifically high persistence and smoothness. The model suggests that volatility is far less persistent and smooth than the conventional GARCH or stochastic volatility. Persistent short regimes are more likely to occur when volatility is low, while far less persistence is likely to be observed in high volatility regimes. Comparison with different classes of volatility supports the SVMRS as an appropriate proxy volatility measure. Our results indicate that volatility could be far more difficult to estimate and forecast than is generally believed.