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The purpose of this paper is to assess the change in the Italian and Spanish wage polarization degree in a time of economic crisis, taking into account the factors affecting labor force heterogeneity. Gender differences in the evolution of social fractures are considered by carrying out the analysis separately for males and females.

The approach by Palacios-Gonzánlez and García-Fernández (2012) on polarization is applied to the microdata provided by the EU Living Conditions Surveys (2007, 2010 and 2012). According to Palacios-Gonzánlez and García-Fernández’s approach, polarization is generated by two tendencies that contribute to the generation of social tension: the homogeneity or cohesion within group and the heterogeneity between groups. The following labor force characteristics are considered: gender, level of education, type of contract, occupational status and job status.

The results for Italy reveal a higher increase of polarization for women than for men from the perspective of the type of contract. In Spain, the wage polarization of women also increases more intensively compared to men from the perspectives of level of education, job status and occupational status, while in Italy the reduction of the wage polarization index by level of education can be related, above all, to an increase in overqualification of women.

While the empirical literature on polarization has made considerable investigation into employment and job polarization, this paper explores the rather less explored matter of wage polarization. Furthermore, particular attention is paid to the impact on polarization of the Great Recession.

The current economic crisis has significantly increased unemployment, showing higher persistence than expected. However, since microdata from household surveys are issued with delay, they do not allow a prompt analysis of the impact of the economic cycle on households’ living conditions. The purpose of this paper is to propose a microsimulation methodology to achieve an evaluation of the impact of economic shocks in terms of household’s living conditions to guide policy makers.

The microsimulation technique developed in this paper is based on a nowcasting approach by using different sources of data and by taking into account a whole set of potential transitions across the different statuses of the labour market and the related changes in income. To validate this microsimulation method, the authors apply it to Italy, a country that has been deeply affected by the crisis.

Data have been drawn from the European Statistics on Income and Living Conditions Survey for Italy (IT SILC) and from the Labour Force Survey for Italy. The latter data allow us to take into account the changes in the labour market status of individuals due to economic shocks. The validation results support the capability of the model to simulate the effect of the cycle before actual data on income are available.

The results obtained would encourage the use of the suggested methodology to anticipate the effect of the economic cycle on household’s income therefore enabling the design of effective policies to sustain household income with positive practical and social implications.

Distinct from other microsimulation techniques the methodology proposed in this paper allows us to take into account behavioural effects and the change in the composition of employment and unemployment. Moreover, the authors contribute to the existing literature by considering a whole set of transitions across different labour market statuses and the related changes in income.

This chapter's objective is to analyze, with a long-term perspective, the formation of an entrepreneurial culture in Mexico's Midwest, specifically in the state of Jalisco, in terms of the geographical environment, the culture in general, and the local economic institutions that, when viewed interconnectedly, will globally impact the practices, representations, and imaginaries of persons who at a given time have made the decision to undertake profitable economic activities – individual and collective entrepreneurs, in other words. To this end, we have divided the text into two sections. In the first, we conceptually review what we understand as entrepreneurial culture; in principle, we deconstruct its terms and then conjugate them from a social science perspective. We also emphasize the importance of studying the milieu as a scenario of action with different arenas, where a variety of agents have been involved. In the second part, without sidelining conceptual analysis, we present concrete empirical evidence of the role played by culture and local economic institutions that shape entrepreneurial culture in Midwestern Mexico over time, specifically in Jalisco. The text ends with some final considerations.

The present study aims to examine how consumers evaluate the extended human brands of athlete celebrities beyond their unique brand personality associated with sports. Athlete celebrities' unique image in sports is used as a human brand, and attitude toward the athlete brand extensions is investigated when the athlete's name is included in a new non-sport brand. The concepts of brand extensions were employed to develop the ideas of human brand extensions.

In total, 198 participants answered online survey questions before and after being informed of athlete brand extensions. Partial least squares structural equation modeling is utilized to test the hypotheses.

The survey results indicated that athlete–product fit and image transfer positively influenced attitude toward the extension. In addition, attitude toward the athlete brand extensions was significantly influenced by consumers' pre-existing attitude toward the celebrity; however, not by celebrity's expertise.

The research findings imply that some brand extension concepts are applicable to human brands to understand the effectiveness of athlete brand extensions for non-sport products.

Supreme audit institutions (SAIs) examine and supervise the activity of public institutions. The study aims at contributing to the existing literature on public sector audit by providing a classification of 29 European SAIs – 28 national SAIs and the European Court of Auditors (ECA) – based on a broad range of attributes varying from the SAIs' environment to its structure, activity, resources or transparency.

The authors apply quantitative methodology for clustering by means of multidimensional scaling and regressive ordinary least square (OLS) and logistic models.

The authors' results show that SAIs from veteran EU member states (MSs) are more similar amongst them and the same applies to SAIs from Nordic countries, Baltic countries, Western Mediterranean countries and Eastern countries. The authors also perform additional analysis focussing on currently relevant issues such as gender equality, age, environment or the sustainable development goals (SDGs), concluding that the younger the institutions' staff, the more transparent the institutions are. The authors also find that more transparent SAIs report on environmental audits, more prone to cover the SDGs in their audits.

The research is limited in purpose and scope because data cover only Europe. Given the limited number of observations (29), it does not have prospective purposes but only explanatory ones. The authors' findings are interesting for researchers because they offer original insights on public audit in Europe and cover matters of current interest such as environment, transparency or gender equality.

The research is also of interest for public auditors because it offers them information that may help them improve their activity and find institutional synergies, as the dataset is available to public auditors.

From a social view point, the paper shows that public auditors perform work on topics of interest for the citizens.

The dataset compiled for the research offers extensive data and a wide variety of attributes defining European SAIs and may offer future opportunities for research from different perspectives.