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The authors propose a client‐side agent for exploring and categorizing documents on the World Wide Web. As the user browses the Web using a usual Web browser, this agent is designed to aid the user by classifying the documents the user finds most interesting into clusters. The agent carries out the task completely automatically and autonomously, with as little user intervention as the user desires. The principal novel components in this agent that make it possible are a scalable hierarchical clustering algorithm and a taxonomic label generator. In this paper, the overall architecture of this agent is described and the details of the algorithms within its key components are discussed.

European Union (EU) central and eastern economies have gone through a process of structural change since 1989, when the post-communist transition started. This process was afterwards reinforced by the three EU enlargement waves that took place in 2004, 2007 and 2013. Though exhibiting low levels of aggregate productivity, this group of countries joined the EU with higher levels of human capital than the southern member states, an advantage that should have accelerated real convergence towards the EU15. However, evidence to date suggests that the convergence process came to a halt in 2007–2008 when massive capital inflows stopped, highlighting the fragilities of the growth strategies implemented so far. In these peripheral countries, structural change has been characterised by an expanding services sector alongside growing income inequality. The two strands of literature on these issues highlight that: (a) an expanding services sector may not be detrimental for growth, quite the opposite, depending on services composition and on the capacity of services sub-sectors to incorporate information and communication technologies (ICTs); and (b) inequality is negatively related to growth through the fiscal policy, socio-political instability, borrowing constraints to investment in education and endogenous fertility channels and positively through the savings channel and incentives. We analyse the nexus between structural change, inequality and growth in this group of countries highlighting income inequality as a potential mechanism that connects the other two variables. We provide a descriptive quantitative analysis of the profiles of structural change and income inequality in our sample and apply dynamic panel methods to investigate the existence of causality among services sector expansion, inequality and aggregate productivity considering a maximum period between 1980 and 2010.

Colombia has one of the highest levels of inequality in landholding in the world. This inequality has persisted in spite of numerous state-led land reform efforts, which leads to the question: why has it been so difficult to reverse unequal land distribution in Colombia? To answer this question, the chapter examines the role of the state, non-state armed groups, land inequality, land reform efforts, and a history of violence to reveal the relationship between land, inequality and violence in Colombia. This chapter explores the nature of this relationship to understand Colombia’s enduring inequality and to inform theoretical approaches to statehood and power. Rather than reducing state capacity to common Weberian binary constructions of state and statelessness, I explore how state capacity takes on different forms in different regions of Colombia – analyzing how various actors shape land inequality and violence across the territory. Using a comprehensive longitudinal panel data set of displaced persons, I use a negative binomial regression model to demonstrate how land reform, land inequality, and a history of violence have directly affected current displacement of citizens. I argue that several constellations of powerful social actors have at various points converged to control land, through non-state armed groups, to exert a local form of logistical control outside the scope of the federal state, deeply affecting the dynamics violence across different territories. These groups have subsequently engaged in a land grabbing process that has resulted in a reverse form of land reform – leading to persisting inequality in Colombia.

The main aim of this study is to investigate the role of fathers and mothers in the intergenerational educational persistence for sons and daughters under two dimensions that characterize the clusters of countries: redistributive policy and governance.

Data from the Global Database of Intergenerational Mobility (GDIM), hierarchical cluster analysis on principal components and panel regression are used in this study to estimate intergenerational educational correlation and to investigate its determinants related to the parents’ and descendants’ education variables in 93 countries grouped in four clusters. The empirical analysis is differentiated by gender combinations of parents and descendants.

In the clusters of countries characterized by high inequalities and poor governance, our findings show that the role of the fathers is stronger than that of the mothers in educational transmission; fathers and mothers are more influential for the daughters rather than for the sons; parental educational privilege is the main driver of intergenerational educational persistence; there is an inverse U-curve in the association between educational inequality of the parents and educational correlation for the sons. Differently, in the countries characterized by high income, low redistributive conflict and better governance, the role of the mothers is stronger and education mobility for the daughters is higher than that for the sons.

The authors’ results remark on the importance of social welfare policies aimed to expand a meritocratic public education system including schooling transfers for lower social class students and narrowing the gender gap in educational mobility between daughters and sons. Social welfare policies should also be oriented to spread high quality child care systems that help to foster greater women equality in the labor market, because the strength of educational persistence depends on the position of the mother in the economic hierarchy.

The distinctiveness of the paper can be found in the fact that this study investigates the parental role differentiating by gender and coupling hierarchical cluster analysis on principal components with panel regression models. This allows us to have a sample of 93 countries aggregated in four groups defined in two dimensions: redistributive policy and governance. Amongst the determinants of educational transmission, we consider not only education’s years of the parents but also other determinants, such as educational inequality and privilege of the parents. We also identify the effects of investment in human capital and educational inequalities for the descendants on education mobility.

This paper aims to estimate the global income distribution during the nineties using limited information. In a first stage, we obtain national income distributions considering a model with two parameters. In particular, we propose to use the so-called Lamé distributions, which are curved versions of the Sigh-Maddala and Dagum distributions. The main feature of this family is that they represent parsimonious models which can fit income data adequately with just two parameters and whose Lorenz curves are characterized by only one parameter. In a second stage, global and regional distributions are derived from a finite mixture of these families using population shares. We test the validity of the model, comparing it with other two-parameter families. Our estimates of different inequality measures suggest that global inequality presents a decreasing pattern mainly driven by the fall of the differences across countries during the course of the study period that offsets the increase in disparities within countries.

Adults raised in poor households tend to be more prone to live in poverty than the rest, ceteris paribus. This holds true even in the presence of observed income transmission channels such as education attainment. We identify this differential poverty risk as intergenerational transmission of economic disadvantage (ITED). This chapter contributes to the literature on cross-country differences in the intensity of ITED in the EU by explicitly testing how macro-economic/institutional features shape the phenomenon. Working on a sample of 30- to 39-year-old interviewees from the EU-SILC 2011 module on Intergenerational transmission of disadvantages, the authors find that, first, past income inequality is positively correlated with current ITED intensity; second, past efforts on inequality reduction via social protection for families with children and unemployment benefits are negatively correlated with later ITED levels; finally, educational expansion correlates with lower ITED, pointing to the relevance of public investments in education as a way to fight inequality of opportunity.

The purpose of this paper is to present a Serious Game with the main purpose of inducing attitude changes as a way to prevent bullying, in a target audience of young people between 10 and 12 years old.

The rationale for prevention is: first, to help victims of these aggressive episodes to acquire or improve competencies in avoiding or dealing with future real bullying situations; and second, to promote empathy toward the victims in bystanders. A back office application complements the game, providing substantial assistance to psychologists while using the game with patients in therapy or in research work.

Both components, the game and the back office, were evaluated with volunteers. The user study leads the authors to the conclusion that the current version of the game holds good potential in bullying prevention: the young people that played the game in a continuous time span, at the end of this testing process, have expressed improvements in their bullying prevention strategies. The back office application, a distinctive feature of the solution when compared to other similar bullying prevention solutions, was positively assessed by the psychologists who tested it.

The game deals with strong social features, such as number of friends and invitations to social events (e.g. a birthday party), to which young people give much importance. Additionally, it offers a variability of scenarios and consequences of actions, taking into account the user’s performance in the game. The main factors that makes the presented solution stand out in comparison with other similar bullying prevention solutions are mainly the following: It includes a back office application to assist therapists with data management features; the role of the player in the game can be chosen according to his own profile; it is possible to play even outside a therapy session (e.g. at home); and it is a portable solution.

Although credit unions are nonprofit organizations, their objectives depend on the efficient management of their resources and credit risk aligned with the principles of the cooperative doctrine. This paper aims to propose the combined use of credit scoring and profit scoring to increase the effectiveness of the loan-granting process in credit unions.

This sample is composed by the data of personal loans transactions of a Brazilian credit union.

The analysis reveals that the use of statistical methods improves significantly the predictability of default when compared to the use of subjective techniques and the superiority of the random forests model in estimating credit scoring and profit scoring when compared to logit and ordinary least squares method (OLS) regression. The study also illustrates how both analyses can be used jointly for more effective decision-making.

Replacing subjective analysis with objective credit analysis using deterministic models will benefit Brazilian credit unions. The credit decision will be based on the input variables and on clear criteria, turning the decision-making process impartial. The joint use of credit scoring and profit scoring allows granting credit for the clients with the highest potential to pay debt obligation and, at the same time, to certify that the transaction profitability meets the goals of the organization: to be sustainable and to provide loans and investment opportunities at attractive rates to members.

The purpose of this paper is to examine macroeconomic factors that are significantly related to consumption of various alcoholic beverages in Russia.

The authors consider 78 Russian regions for the period from 2008 to 2012. Data were collected from the Federal State Statistics Service of Russia. The authors investigate differences in the volume and structure of consuming absolute alcohol in aggregate, vodka, beer, and wine. Estimating fixed effect panel models enables us to reveal the relationship between alcohol consumption and the set of macroeconomic factors that include economic development of regions and living standards, the effect of unemployment, and the degree of urbanization.

Alcohol consumption is procyclical in Russia. Two main alcoholic beverages in Russia are vodka and beer. Economic development and urbanization of regions are positively related to consuming alcohol. Unemployment rate affects consumption of different types of alcoholic drinks in a different way. For absolute alcohol, vodka and beer, this relationship is negative. However, it is positive for wine. The effect of unemployment on absolute alcohol and vodka increases over time. For beer, it is remained unchanged. For wine, this effect weakens over time.

To the authors knowledge, the paper is the first one to analyze macro-level factors of consumption of different alcoholic beverages in Russia. Conclusions made on aggregate macroeconomic data add to understanding of drinking patterns in Russia as a country with the large territory and great regional variations. Findings can be used for correcting the alcohol policy at the national and regional level.