Labor market assimilation of immigrants in Spain: employment at the expense of bad job-matches?

During the last decade, Spain has experienced an unprecedented increase of immigration from three localized areas: Eastern Europe, Latin America, and Africa. Using data from the Labour Force Survey for the period 1996–2006, we study the labour characteristics of recent immigrants, identifying the major differences with the native population at arrival and tracking whether these differences fade away as their years of residence in Spain increase. We allow the returns to human capital and the sensitivity to the business cycle to differ between immigrants and natives. Overall, our results show that, compared to natives, immigrants face initially higher participation and unemployment rates, as well as higher incidence of overeducation and temporary contracts. However, 5 years after arrival immigrants’ participation rates start to converge to natives’ rates, unemployment rates decrease to levels even lower than those of natives, and the incidence of overeducation and temporary contracts remains roughly constant: no reduction of the gap with Spanish workers is observed. We are grateful to Christian Dustmann, Juan F. Jimeno, Claudio Michelacci, an anonymous referee, and seminar participants at the 2006 EALE Conference, 2006 Simposio de Análisis Económico, BBVA Economic Research Department, FEDEA, CReAM, INSIDE and LECG for helpful comments and suggestions.     

Analysis of the hysteresis of unemployment in Mexico in the face of macroeconomic shocks

This research presents the behavior of the Mexican unemployment rate and shows the dependence with own history and macro variables. The concept of hysteresis or persistence tries to separate this inertia in the unemployment rate and some macroeconomic and endogenous factors. The results show a high inertia in the Mexican labor market, justified by the monetary levels and the dependence of the investment levels, considering the shocks of exports that affect the unemployment in the long term.     

Social Bond Development Through Continuous Indebtedness

The state of being indebted arises when someone borrows money and later on pays it back. Continuous indebtedness is when a person incurs several loans in a row, such as from banks, credit companies and relatives, without paying off the previous ones. The aim of this paper is to investigate how continuous indebtedness changes the structure of social relations. The Theory of the Gift provides a framework to analyse social bonds among people. A qualitative approach was used to conduct in-depth interviews with 19 indebted households. Findings point to four structures of social relationship trajectories that occur as a result of the continuous indebtedness process. These are Positive Gift Relationship, when the debt reinforces a social bond; Negative Gift Relationship, when a social bond is broken; Selfish Gift Relationship when a person wants to get out of a social bond and Vampire Gift Relationship, when the debt arises due to the debtor’s desire to attract people of a certain reference group. Understanding how the continuous indebtedness process changes social relationships might help in the development of an action plan to avoid extreme financial situations.     

The patterns of output growth of firms and countries: Scale invariances and scale specificities

This work brings together two distinct pieces of evidence concerning, at the macro level, international distributions of incomes and their dynamics, and, at the micro level, the size distributions of firms and the properties of their growth rates. Our contribution to the literature is twofold. First, our empirical analysis provides a new look at the international distributions of incomes and growth rates by investigating more closely the relationship between the two entities and the statistical properties of the growth process. Second, we identify the statistical properties that are invariant with respect to the scale of observation (country or firm) as distinct from those that are scale specific. This exercise proposes a few major interpretative challenges regarding the correlating processes underlying the statistical evidence.     

Embodied uncertainty: living with complexity and natural hazards

In this paper, we examine the concept of embodied uncertainty by exploring multiple dimensions of uncertainty in the context of risks associated with extreme natural hazards. We highlight a need for greater recognition, particularly by disaster management and response agencies, of uncertainty as a subjective experience for those living at risk. Embodied uncertainty is distinguished from objective uncertainty by the nature of its internalisation at the individual level, where it is subjective, felt and directly experienced. This approach provides a conceptual pathway that sharpens knowledge of the processes that shape how individuals and communities interpret and contextualise risk. The ways in which individual characteristics, social identities and lived experiences shape interpretations of risk are explored by considering embodied uncertainty in four contexts: social identities and trauma, the co-production of knowledge, institutional structures and policy and long-term lived experiences. We conclude by outlining the opportunities that this approach presents, and provide recommendations for further research on how the concept of embodied uncertainty can aid decision-making and the management of risks in the context of extreme natural hazards.     

Learning from the Dark Web: leveraging conversational agents in the era of hyper-privacy to enhance marketing

Journal of the Academy of Marketing Science - The Web is a constantly evolving, complex system, with important implications for both marketers and consumers. In this paper, we contend that over the...     

Research Trends of Marketing: A Bibliometric Study 1990–2017

Abstract

Interest in the role of marketing has grown in recent decades due to its impact in brand value, value creation for customers, profitability of customer base, and organizational results. The paper shows an overall view on marketing research to explore the development of research trends, showing the high-frequency keywords at different time periods. Using bibliometric methods, the research analyzes publications between 1990 and 2017 found in the Web of Science and Scopus databases. The paper shows the evolution of keywords to reveal emerging topics as demonstrated in the connections network which includes “advertising,” “consumer behavior,” “trust,” “innovation,” and “customer satisfaction.”     

Mixed methods research in service-learning: an integrative systematic review

Quality & Quantity - In view of the challenges involved in designing a study of Mixed Methods (MM), as well as the problematics inherent in studying Service-Learning (S-L) from new research...     

Multicriteria framework for selecting a process modelling language

The choice of process modelling language can affect business process management (BPM) since each modelling language shows different features of a given process and may limit the ways in which a process can be described and analysed. However, choosing the appropriate modelling language for process modelling has become a difficult task because of the availability of a large number modelling languages and also due to the lack of guidelines on evaluating, and comparing languages so as to assist in selecting the most appropriate one. This paper proposes a framework for selecting a modelling language in accordance with the purposes of modelling. This framework is based on the semiotic quality framework (SEQUAL) for evaluating process modelling languages and a multicriteria decision aid (MCDA) approach in order to select the most appropriate language for BPM. This study does not attempt to set out new forms of assessment and evaluation criteria, but does attempt to demonstrate how two existing approaches can be combined so as to solve the problem of selection of modelling language. The framework is described in this paper and then demonstrated by means of an example. Finally, the advantages and disadvantages of using SEQUAL and MCDA in an integrated manner are discussed.     

Evolution of state clusters related with technological capability in Mexico: Application of a multivariate statistical analysis of cluster

The objective of this work is to analyze how the technological capability is distributed between the Mexican states and to examine their evolution. To this end, an empirical study was developed using the cluster multivariate statistical analysis technique, based on the set of indicators proposed by Cepal (2007), and gathering the data from various public sources in the country during years 2006 and 2012. This was done to study the evolution of said conglomerates, trying to see which states have been able to move to a conglomerate located in more advanced positions and which have retreated within said period. The results show the existence of 7 groups of states characterized by different levels of technological capability. Furthermore, 3 entities that evolved into a more advanced conglomerate – regarding absorption and innovation capability, as well as infrastructure technological capability – are also detected.