Economic Outcomes among Latino Migrants to Spain and the United States: Differences by Source Region and Legal Status

Using representative national surveys, this paper compares economic outcomes among Latin American migrants to Spain and the United States in the first cross-national comparison using quantitative data. Considering the geographic location and social proximity of each country with respect to Latin America, we detect a critical selection effect whereby the majority of Latin American migrants to Spain originate in South America from middle class backgrounds, whereas most migrants to the United States are Central Americans of lower class origins. This selection effect accounts for cross-national differences in the probability of employment, occupational attainment, and wages earned. Despite differences in the origins and characteristics of Latino immigrants to each country, demographic and human and social capital factors appear to operate similarly in both places; and when models are estimated separately by legal status, we find that effects are more accentuated for undocumented compared with documented migrants, especially in the United States.     

Requests, Blocking Moves, and Rational (Inter)action in Survey Introductions

We draw on conversation analytic methods and research to explicate the interactional phenomenon of requesting in general and the specific case of requesting participation in survey interviews. Recent work on survey participation has given much attention to leverage-saliency theory, but has not engaged how the key concepts of this theory are exhibited in the actual unfolding interaction of interviewers and potential respondents. We do so using digitally recorded and transcribed calls to recruit participation in the 2004 Wisconsin Longitudinal Study. We describe how potential respondents present interactional environments that are relatively discouraging or encouraging, and how, in response, interviewers may be relatively cautious or presumptive in their requesting actions. We consider how the ability of interviewers to tailor their behavior to their interactional environment can affect whether the introduction reaches the point at which a request to participate is made, the form that this request takes, and the sample person's response. Our analysis contributes to understanding how we might use insights from the analysis of interaction to increase cooperation with requests to participate in surveys.     

Robust extrapolation designs and weights for biased regression models with heteroscedastic errors

We consider the construction of designs for the extrapolation of regression responses, allowing both for possible heteroscedasticity in the errors and for imprecision in the specification of the response function. We find minimax designs and correspondingly optimal estimation weights in the context of the following problems: (1) for ordinary least squares estimation, determine a design to minimize the maximum value of the integrated mean squared prediction error (IMSPE), with the maximum being evaluated over both types of departure; (2) for weighted least squares estimation, determine both weights and a design to minimize the maximum IMSPE; (3) choose weights and design points to minimize the maximum IMSPE, subject to a side condition of unbiasedness. Solutions to (1) and (2) are given for multiple linear regression with no interactions, a spherical design space and an annular extrapolation space. For (3) the solution is given in complete generality; as one example we consider polynomial regression. Applications to a dose-response problem for bioassays are discussed. Numerical comparisons, including a simulation study, indicate that, as well as being easily implemented, the designs and weights for (3) perform as well as those for (1) and (2) and outperform some common competitors for moderate but undetectable amounts of model bias.     

Opportunities and challenges for industrial statisticians

The last 20 years have seen significant advances in the use of statistical methodology in industry, with applications in new product design and development, optimization and control of manufacturing processes, and in the service industries. The field of industrial statistics has emerged as an important branch of statistical science that focuses on this application environment. Yet as applications of statistics in industry have expanded, creating many new opportunities for the modern industrial statistician, many new challenges have arisen. Some of these challenges are technical, while others have managerial and organizational aspects. There are also important concerns pertaining to training and education. This presentation focuses on some of these issues, and identifies some potential solutions.     

Social Change in Economic Development Theory*

L'auteur entrepend une évaluation critique des postulats sociologiques de certaines études importantes du développment économique. Des intérèts politiques et des intentions réformistes influencent ces études et limitent leur portée quant à la formulation d'une théorie du ehangement social. La mode veut que Ton explique le ehangement social dans diverses societes par le truchement d'un seul schème conceptuel ou d'un seul facteur principal. L'auteur examine quatre modeles: homéostatique, évolutionniste, libéral et psychologique. En conclusion, il indique l'approche marxiste et l'importance qu'elle accorde au pouvoir politique, aux interets acquis et au conflict social.     

The mouse that roared? Article publishing in undergraduate sociology programs

This paper explores article production by the entire population of US undergraduate sociology departments. The available literature suggests that undergraduate programs publish little, that this is concentrated among relatively few—mainly liberal arts—departments, and that publication rates are increasing. We argue There are reasons to expect that social/economic presence, reward policies, student quality, and faculty quality, size, and workload will affect productivity. Tracing publication of articles across the 1990s, few undergraduate departments are represented in 30 journals deemed important on the bases of reputation and citation rates. Liberal arts schools do not predominate. Ceteris paribus, public schools outpublished private schools. Publication rates have not increased. Social/economic presence, and student and faculty quality affect publishing, but salary, tenure structure, and workload do not. Finally, faculty size suppresses per capita publication.     

Environmental Risk, Precaution, and Scientific Rationality in the Context of WTO/NAFTA Trade Rules

This article considers the role of scientific rationality in understanding statements of risk produced by a scientific community. An argument is advanced that, while scientific rationality does impose constraints on valid scientific justifications for restrictions on products and practices, it also provides flexibility in the judgments needed to both develop and apply characterizations of risk. The implications of this flexibility for the understanding of risk estimates in WTO and NAFTA deliberations are explored, with the goal of finding an intermediate ground between the view that science unambiguously justifies or rejects a policy, and the view that science is yet another cultural tool that can be manipulated in support of any decision. The result is a proposal for a dialogical view of scientific rationality in which risk estimates are depicted as confidence distributions that follow from a structured dialogue of scientific panels focused on judgments of evidence, evidential reasoning, and epistemic analysis.     

Nonparametric statistical procedures for the changepoint problem

Let X₁,…,X_r?1,X_r,X_r+1,…,X_n be independent, continuous random variables such that X_i, i = 1,…,r, has distribution function F(x), and X_i, i = r+1,…,n, has distribution function F(x?Δ), with -∞ <Δ< ∞. When the integer r is unknown, this is refered to as a change point problem with at most one change. The unknown parameter Δ represents the magnitude of the change and r is called the changepoint. In this paper we present a general review discussion of several nonparametric approaches for making inferences about r and Δ.     

RESEARCH IN FAMILY THERAPY: A GRADUATE LEVEL COURSE

Training in family therapy research must move beyond traditional methods courses. This paper describes a five-unit course which (a) reviews the fundamentals of research methodology and grounds the student in the history of psychotherapy research in general; (b) gives an overview of family research through detailed analysis of major review articles; (c) covers instrumentation tools and techniques; (d) critically evaluates key investigations in the field; and (e) examines the challenges of the "new epistemologies" for family therapy research. Learning activities are described for each unit that engage the student in such a way that the learning of research might be enjoyable as well as interesting. The paper may also be employed as a guide for self-study in family therapy research.