Immigrant economic adjustment and family organization: the Cuban success story reexamined

The economic adjustment of Cuban-origin persons in the US has been analyzed traditionally at 2 levels: the individual and the community (enclave). The analysis presented here represents a complementary approach at the household level. Data from the 1980 census show that the relatively successful economic adjustment of Cubans is largely a family, rather than an individual, phenomenon. The data also permit an identification of the structural features of the Cuban-origin family that facilitate economic adjustment. The results have special implications for the study of the labor-force experience of Cuban women and their role within the enclave economy (author's).     

The household structure of second-generation children: an exploratory study of extended family arrangements

"Using data from the Children of Immigrants Survey, the antecedents of extended family arrangements among [U.S.] immigrant households with children are examined. The incidence and form of such arrangements, especially the presence of grandparents, are analyzed in relation to single parenthood, national origin, cultural assimilation, and socioeconomic variables. The findings serve to underscore the complexity of the correlates of extended family arrangements. While there is a relationship with single parenthood, more research is needed on the economic basis for the presence of relatives in the household. The analysis uncovered the need to also treat presence of grandparents as an independent variable, especially in the cultural assimilation of children of immigrants."     

Participatory design in lean production: which contribution from employees? For what end?

The proponents of lean production have pointed to the positive effects of the work organization on employees in terms of autonomy, enhanced skills and empowerment mainly by their participation into the continuous improvement of work process. But studies that have examined this issue suggest that the increase in autonomy is not sufficient to compensate for increases work intensity. Participatory design has grown extensively in manufacturing since the 1980's under the impulsion of the Scandinavian socio-technical system approach and it's central in the model of lean production performance. Its main objectives are to improve quality, increase productivity and safety through employee's participation to the reduction of non-value added activities, such as defined by lean production. In the line of the studies on participatory design and continuous improvement the present study examines the functioning of work groups, based on the kaizen model, the aim of which was to improve the proportion of "value-added activities" and working conditions, essentially physical constraints. The main results are consistent with the literature and show that accelerated forms of re-conception activities give employees limited room for maneuver to elaborate solutions based on the analysis of the real activity. This study is part of a broader initiative that goes in the direction of continuous improvement of the design process itself so that it integrates the real constraints of work and propose changes bases on work as it actually takes place, beyond pre-established performance goals bases on the reduction of "non added value activities".     

Latino Faces,Corporate Ties: Latino Advocacy Organizations and Their Board Membership

Although they have increased exponentially since the 1960s, social scientists know little about ethnic advocacy organizations. These nonprofits are important bridges between underresourced communities and mainstream funding organizations and their directors are established ethnic leaders. Sociologists study interlocking directorates—or shared board membership—to understand how organizations fit together within broader social networks. Network concepts, particularly the theory of institutional isomorphism, suggest that organizations are likely to be similar to the extent they are connected and operate within a common organizational field. We apply this logic to Latino advocacy organizations to examine the underlying source of cohesion across this ethnic field. We ask whether the organizations are tied by interlocking directorates of ethnic elites who sit on their boards of directors or if board members' common affiliation with other elite institutions creates the structural conditions that facilitate potential ideological or behavioral similarity. A social network analysis of five prominent Latino advocacy organizations reveals support for both hypotheses: Latino board members are both embedded in ethnic‐based networks and entrenched within elite organizational webs. This suggests that ethnic elites who sit on the boards of Latino advocacy organizations are also corporate elites, selected for the social capital they bring to these nonprofits.     

Layered adaptive importance sampling

Monte Carlo methods represent the de facto standard for approximating complicated integrals involving multidimensional target distributions. In order to generate random realizations from the target distribution, Monte Carlo techniques use simpler proposal probability densities to draw candidate samples. The performance of any such method is strictly related to the specification of the proposal distribution, such that unfortunate choices easily wreak havoc on the resulting estimators. In this work, we introduce a layered (i.e., hierarchical) procedure to generate samples employed within a Monte Carlo scheme. This approach ensures that an appropriate equivalent proposal density is always obtained automatically (thus eliminating the risk of a catastrophic performance), although at the expense of a moderate increase in the complexity. Furthermore, we provide a general unified importance sampling (IS) framework, where multiple proposal densities are employed and several IS schemes are introduced by applying the so-called deterministic mixture approach. Finally, given these schemes, we also propose a novel class of adaptive importance samplers using a population of proposals, where the adaptation is driven by independent parallel or interacting Markov chain Monte Carlo (MCMC) chains. The resulting algorithms efficiently combine the benefits of both IS and MCMC methods.     

THE FAILURE TO PREDICT THE GREAT RECESSION—A VIEW THROUGH THE ROLE OF CREDIT

Much has been written about why economists failed to predict the latest crisis. Reading the literature, it seems that this crisis was so obvious that economists must have been blind not to see it coming. We approach this failure by looking at one of the key variables in this analysis, the evolution of credit. We compare the conclusions reached in the recent literature with those that could have been drawn from an ex‐ante analysis. We show that the effect of credit on the business cycle cannot be exploited from a policymaker's point of view.     

Regularization with Maximum Entropy and Quantum Electrodynamics: The Merg(E) Estimators

It is well-known that under fairly conditions linear regression becomes a powerful statistical tool. In practice, however, some of these conditions are usually not satisfied and regression models become ill-posed, implying that the application of traditional estimation methods may lead to non-unique or highly unstable solutions. Addressing this issue, in this paper a new class of maximum entropy estimators suitable for dealing with ill-posed models, namely for the estimation of regression models with small samples sizes affected by collinearity and outliers, is introduced. The performance of the new estimators is illustrated through several simulation studies.     

An interactive three-stage model for mutual funds portfolio selection

The aim of this work is to be a useful instrument for helping finance practitioners on the selection of suitable mutual fund portfolios. The portfolio selection problem is characterized by imprecision and/or vagueness inherent in the required data and more generally, in the context where investors have to make decisions. In order to mitigate these problems, a three stage model has been proposed based on a multi-index model and considering several market scenarios described in an imprecise way by an expert. The proposed fuzzy model allows the Decision Maker to select, by means of an outranking method, a suitable portfolio taking into account the uncertainty related to the market scenarios and the imprecision and/or vagueness associated with the model data.