Transnational dimensions of the digital divide among Salvadoran immigrants in the Washington DC metropolitan area

Abstract In this article I explore some dimensions of digital divide among Salvadoran immigrants in the Washington DC metropolitan area. Three main issues are addressed: the configuration of social networks, local axes of inequality and the transnational forms of appropriation and usage of the Internet and other Information and Communication Technologies (ICTs). Based on a media ethnography approach, the analysis combines structuration theory with diasporic media studies. It includes an examination of Internet communications, Salvadoran diasporic websites, the use of mobile phones and teleconferencing, and the transnational dimensions of the digital divide. The study's findings include the limited accessibility to the Internet and ICTs among Salvadoran immigrants, the importance of understanding the transnational dimensions of the digital divide (particularly in terms of generation) and the need to design and implement communication and technology policies in the Salvadoran transnational society.     

Varieties of Social Cognition

Recent work within psychology demonstrates that unconscious cognition plays a central role in the judgments and actions of individuals. We distinguish between two basic types unconscious social cognition: unconsciousness of the influences on judgments and actions, and unconscious of the mental states (i.e., attitudes and feelings) that give rise to judgments and actions. Influence unconsciousness is corroborated by strong empirical evidence, but unconscious states are difficult to verify. We discuss procedures aimed at providing conclusive evidence of state unconsciousness, and apply them to recent empirical findings.     

THE EFFECTS OF SPANISH‐LANGUAGE BACKGROUND ON COMPLETED SCHOOLING AND APTITUDE TEST SCORES

We investigate the effect of speaking Spanish at home as a child on completed schooling and aptitude test scores using data from the NLSY79 on Hispanics who grew up in the United States. We model the accumulation of traditional human capital and English fluency, leading to the joint determination of schooling and test scores. We find that speaking Spanish at home reduces test scores, but has no significant effect on completed schooling. The reduction in test scores (1) increases in magnitude in three of the tests when the parents are more educated; (2) is much more dramatic when the choice of home language is made endogenous; and (3) is not systematically greater for the verbal than for the math tests. (JEL I20, J15)     

Markov Beta and Gamma Processes for Modelling Hazard Rates

This paper generalizes the discrete time independent increment beta process of Hjort (1990 ), for modelling discrete failure times, and also generalizes the independent gamma process for modelling piecewise constant hazard rates ( Walker and Mallick, 1997 ). The generalizations are from independent increment to Markov increment prior processes allowing the modelling of smoothness. We derive posterior distributions and undertake a full Bayesian analysis.     

CHARACTERIZING ECONOMIC GROWTH PATHS BASED ON NEW STRUCTURAL CHANGE TESTS

One of the prevalent topics in the economic growth literature is the debate between neoclassical, semi‐endogenous, and endogenous growth theories regarding the model that best describes the data. An important part of this discussion can be summarized in three mutually exclusive hypotheses: the “constant trend,” the “level shift,” and the “slope shift” hypotheses. In this article we propose the characterization of a country's economic growth path according to these break hypotheses. We address the problem in two steps. First, the number and timing of trend breaks is determined using new structural change tests that are robust to the presence, or not, of unit roots, surpassing technical and methodological concerns of previous empirical studies. Second, conditional on the estimated number of breaks and break dates, a statistical framework is introduced to test for general linear restrictions on the coefficients of the suggested linear disjoint broken trend model. We further show how the aforementioned hypotheses, regarding the economic growth path, can be analyzed by a test of linear restrictions on the parameters of the breaking trend model. We apply the methodology to historical per capita gross domestic product for an extensive list of countries. The results support the three alternative hypotheses for different sets of countries. (JEL C22, F43, O40)     

Rubbery Polya Tree

Abstract. Polya trees (PT) are random probability measures which can assign probability 1 to the set of continuous distributions for certain specifications of the hyperparameters. This feature distinguishes the PT from the popular Dirichlet process (DP) model which assigns probability 1 to the set of discrete distributions. However, the PT is not nearly as widely used as the DP prior. Probably the main reason is an awkward dependence of posterior inference on the choice of the partitioning subsets in the definition of the PT. We propose a generalization of the PT prior that mitigates this undesirable dependence on the partition structure, by allowing the branching probabilities to be dependent within the same level. The proposed new process is not a PT anymore. However, it is still a tail‐free process and many of the prior properties remain the same as those for the PT.     

ON THE LONG-RUN EFFECTS OF FASHION

We investigate the long-run dynamic interaction between fashion (brand loyalty) and industry structure. We analyze how this interaction affects the importance of fashion in the market for a product in the different stages of its life and characterize conditions under which fashion loses or preserves its relevance over time. The model can explain why some products survive fashion changes. ( JEL D21, L0)