Computational and statistical efficiency of semiparametric gls estimators

In this note, we report a dramatic improvement in the computational efficiency of semiparametric generalized least squares(SGLS) estimation. Computation of SGLS estimates no longer presents serious problems with data sets of moderate size. We also correct a numerical error in the standard errors of the SGLS estimates reported in our recent paper in this journal (Horowitz and Neumann, 1987). The corrected standard errors of SGLS are comparable to those we reported for quantile estimates.     

Community satisfaction,expectations of moving,and migration

A previous residential mobility model (Speare, 1974) assumes an additive relationship between residential satisfaction, desire to move, and mobility. This paper elaborates the model and applies it to intercounty migration. An interaction between community satisfaction and expectations to migrate is hypothesized which distinguishes four groups of decision makers. A survey in Durham, North Carolina and a unique mobility followup over eight years provide the data to test the model and the interaction. Furthermore, using various time periods for identifying migrants offers some methodological insights. Results support Speare’s general formulation but only after the interaction is taken into account. A three-year migration interval is found to be appropriate.     

Assessing Placebo Response Using Bayesian Hierarchical Survival Models

The National Institute of Mental Health (NIMH) Collaborative Study of Long-Term Maintenance Drug Therapy in Recurrent Affective Illness was a multicenter randomized controlled clinical trial designed to determine the efficacy of a pharmacotherapy for the prevention of the recurrence of unipolar affective disorders. The outcome of interest in this study was the time until the recurrence of a depressive episode. The data show much heterogeneity between centers for the placebo group. The aim of this paper is to use Bayesian hierarchical survival models to investigate the heterogeneity of placebo effects among centers in the NIMH study. This heterogeneity is explored in terms of the marginal posterior distributions of parameters of interest and predictive distributions of future observations. The Gibbs sampling algorithm is used to approximate posterior and predictive distributions. Sensitivity of results to the assumption of a constant hazard survival distribution at the first stage of the hierarchy is examined by comparing results derived from a two component exponential mixture and a two component exponential changepoint model to the results derived from an exponential model. The second component of the mixture and changepoint models is assumed to be a surviving fraction. For each of these first stage parametric models sensitivity of results to second stage prior distributions is also examined. This revised version was published online in July 2006 with corrections to the Cover Date.     

Shifting environmental concern in rural eastern Oregon: the role of demographic and place-based factors

Public opinion can impact the success of natural resource management policies and programs. In this case study, we assess the degree to which demographic and place-based factors are associated with changing public opinions on climate change, wolves, renewable energy, and land development regulations in rural northeast Oregon. Based on cross-sectional telephone survey data collected in 2011 and 2014, our observations suggest declining support for eliminating wolves, increased support for renewable energy, and increasingly favorable views of regulations that limit development in rural landscapes. We find that while demographic change and local events contribute to some of the observed shifts in opinion on wolves, exogenous factors acting at state and national levels likely contribute to shifting opinions on climate change, renewable energy, and land use regulations.     

On gehan's wilcoxon and the accelerated failure time model

A proof is provided to show that Gehan's 1965 generalization of the two sample Wilcoxon test lies outside the class of efficient score procedures for right censored data (Prentice 1978).     

A small sample test for an absolutely continuous bivariate exponential model

The finite sample distribution of the likelihood ratio sta-tistic is obtained for testing independence, given marginal homo-geneity, in the absolutely continuous bivariate exponential distri-bution of Block and Basu (1974). This test is discussed in light of the analysis of Gross and Lam (1981) on times to relief of head-aches for standard and new treatments on ten subjects.     

Magnetic Imagery: War‐Related Ribbons as Collective Display*

The collective display of particular symbols represents an emergent form of social movement participation. This study documents the patterns of the collective display of one such symbol; the magnetic war‐related ribbon (WRR). Using bivariate and multivariate analyses of a sample of 8,100 vehicles, we studied the relationships between WRR display and measures of political affiliation, patriotism, and war support. The results find that that WRR display is positively associated with affiliation with George W. Bush and the Republican Party, and various displays of patriotism and war support. This study demonstrates how advents in communication technologies, shifts in the social, economic, and political structures have converged and given rise to a new form of symbolic participation marked by the collective display of cause‐related symbols.     

The Causes of Pro-Immigration Voting in the United States Supreme Court1

During the pre-confirmation debate over Supreme Court Justice Sonia Sotomayor, critics accused her of allowing her background to influence her judicial decisions. This article assesses the validity of such a claim for all sitting justices from 1875 to 2007 in one relevant policy area, immigration. In this article, we look at all 185 immigration-related decisions by the Supreme Court from its creation through 2007. Logistic general estimating equation regression analysis of Supreme Court voting on these cases suggests that justices who were nominated by Democratic presidents, who were urbanites, and who had previous judicial experience were more likely to vote in favor of immigration. However, justices who grew up in the Southwest, had Southern European ancestors, or were ideological conservatives were more hostile to immigration. Although public opinion, the unemployment rate, and the percent foreign-born in a given year did not affect justices’ votes, non-asylum cases and appeals from the Eighth Circuit were more likely to receive favorable treatment. The mean level of racial liberalism of the Senators in office during a particular justice’s confirmation hearings likewise had a large impact on his or her subsequent rulings. These findings suggest that Supreme Court voting on immigration is substantially influenced by justices’ background and political preferences as well as by some political and legal structures. These results thus support Legal Realism and New Institutionalism instead of the Traditional Legal Model of Supreme Court behavior.     

Development and Validation of the Social Worker’s Attitudes Toward Disability Scale

Interdisciplinary doctoral education is being strongly encouraged by government agencies (e.g., the National Science Foundation and the National Institutes of Health) and universities. This position is predicated on the idea that integrating the perspectives of different disciplines is necessary for developing meaningful answers to complicated social problems. The purpose of this brief teaching note is to describe the development of a new interdisciplinary PhD program at Tulane University. The program is called City, Community & Culture, and it confers degrees in social work, sociology, and urban studies.