Sweatshops and third world living standards: Are the jobs worth the sweat?

Many studies have shown that multinational firms pay more than domestic firms in Third World countries. Economists who criticize sweatshops have responded that multinational firms’ wage data do not address whether sweatshop jobs are above average because many of these jobs are with domestic subcontractors. We compare apparel industry wages and the wages of individual firms accused of being sweatshops to measures of the standard of living in Third World economies. We find that most sweatshop jobs provide their workers an above average standard of living. The authors thank Jeffery Hummel, Charles Murray, Larry Pratt, and Edward Stringham for helpful comments on earlier drafts. Financial support from the American Institute for Economic Research is gratefully acknowledged. The usual disclaimer applies.     

Poor People in Poor Places: Local Opportunity Structures and Household Poverty*

Abstract Accounts of poverty generally fall into either “individualist” or “structuralist” camps. Often these are seen as irreconcilable and incompatible competing perspectives. This paper integrates individualist and structuralist accounts of poverty by examining the relationship between “person poverty” and “place poverty” in nonmetropolitan and metropolitan labor markets, using a multilevel framework. I fashion a general model of poverty production and allocation, drawing on the labor market ecology perspective. After a discussion of this perspective, I develop a multilevel framework for analyzing data from the 1990 Census PUMS‐L sample, STF‐3c, and other sources to show how compositional and contextual factors affect households' likelihoods of being in poverty. These multilevel models also allow us to estimate the degree to which labor market conditions influence the magnitude of household labor supply characteristics. Results suggest that both compositional and contextual factors contribute to the metro‐nonmetro difference in poverty rates, and that the effects of employment vary in accordance with labor market characteristics.     

Buying a Dream: Alternative Models of Demand for Lotto

Existing lotto demand models utilize effective price, computed as the face value of a ticket minus the expected value of prize money per ticket, as their primary explanatory variable. By contrast, this article proposes a key role for consumption benefit or "fun" in the demand for gambling in general and lotto demand in particular. It develops an alternative model of lotto demand that focuses on the maximum possible prize. When this is tested against the traditional model using data from the U.K. National Lottery, we find that jackpot considerations exert an influence over and above that of variations in effective price.     

Towards a Cultural Analysis of the Modern Family: Beyond the Revisionist Paradigm in Japanese Family Studies

Under the influence of the "new history of the family" of the past few decades, a revisionist view of the "modern family" has emerged among family theorists in Japan. In spite of the significant merits of this new paradigm, I have argued that the failure of its proponents to address certain theoretical and presuppositional issues has discouraged a cultural analysis of the modern family. In recent years, one of the foremost theorists to attempt to bring cultural analysis fully into sociological discourse has been Jeffrey Alexander. I have drawn extensively on Alexander's discussion of Durkheim's later thought as the key to a cultural program in the field of sociology. In doing so, I have suggested that one effect of the transition to modern society is the sacralization of what Durkheim termed the "domestic order". Furthermore, in considering the mechanism by which the central emotional axis of the family comes to revolve around either the parent–child bond or the conjugal bond, I have postulated the existence of a "sacred" dyad—in the Durkheimian sense—within the family unit.     

Book Review: Social Capital and Participation in Everyday Life,by Paul Dekker and Eric M. Uslaner (eds.). Routledge,London, 2001

VOLUNTAS: International Journal of Voluntary and Nonprofit Organizations -     

Membranes, mitochondria and amoebae: shape models

Most real-world shapes and images are characterized by high variability- they are not rigid, like crystals, for example—but they are strongly structured. Therefore, a fundamental task in the understanding and analysis of such image ensembles is the construction of models that incorporate both variability and structure in a mathematically precise way. The global shape models introduced in Grenander's general pattern theory are intended to do this. In this paper, we describe the representation of two-dimensional mitochondria and membranes in electron microscope photographs, and three-dimensional amoebae in optical sectioning microscopy. There are three kinds of variability to all of these patterns, which these representations accommodate. The first is the variability in shape and viewing orientation. For this, the typical structure is represented via linear, circular and spherical templates, with the variability accomodated via the application of transformations applied to the templates. The transformations form groups: scale, rotation and translation. They are locally applied throughout the continuum and of high dimension. The second is the textural variability; the inside and outside of these basic shapes are subject to random variation, as well as sensor noise. For this, statistical sensor models and Markov random field texture models are used to connect the constituent structures of the shapes to the measured data. The third variability type is associated with the fact that each scene is made up of a variable number of shapes; this number is not assumed to be known a priori. Each scene has a variable number of parameters encoding the transformations of the templates appropriate for that scene. For this, a single posterior distribution is defined over the countable union of spaces representing models of varying numbers of shapes. Bayesian inference is performed via computation of the conditional expectation of the parametrically defined shapes under the posterior. These conditional mean estimates are generated using jump-diffusion processes. Results for membranes, mitochondria and amoebae are shown.