Gender and Supportive Co‐Worker Relations in the Medical Profession

Women's growing numerical representation in the professions has not necessarily translated into women being truly integrated in these occupations. Questionnaire data are used to examine whether female physicians are socially integrated in the male‐dominated profession of medicine in terms of the support they receive from their medical colleagues compared to male physicians. The literature on tokenism and homophily suggests that women in male‐dominated professions receive less support than their male colleagues, whereas the social support literature predicts that women typically receive more emotional support than men but less informational and instrumental support. The results of this study shed light on the complex and multi‐layered ways in which gender is relevant to our understanding of the extent to which co‐workers provide empathy, information and assistance to one another.     

OPTIMAL SELECTION OF MATCHED PAIRS FROM LARGE DATA BASES

This paper considers the problem of selecting matched pairs of observations for the reduction of bias in statistical hypothesis testing. A Euclidean distance function is suggested for measuring the similarity between paired observations. The matching process is then formulated initially as an assignment problem. Alternative formulations of the problem that would reduce computational difficulty are considered.     

CONFLICT RESOLUTION IN INVESTMENT DECISIONS: IMPLEMENTATION OF GOAL PROGRAMMING METHODOLOGY FOR DUAL-PURPOSE FUNDS*

Goal programming (GP) is designed to resolve allocation problems with conflicting goals. Both goals and constraints are incorporated in the allocational decision, and the objective function is stated in a way that, upon solution, yields a result “as close as possible” to the priority-weighted goals. The present paper applies GP methodology to the investment decision of dual-purpose funds (DPFs), that are required by law to pursue allocational decisions with potentially conflicting objectives. It provides an empirical demonstration that DPF managers could have improved their investment selection and subsequent performance by the use of GP methodology. Finally the paper stresses the importance of sensitivity analysis to improve both the goal-ranking and target-selection aspects of the methodology and provides a limited but illuminating empirical demonstration of post-optimality analysis.     

Communicating future water needs to an at-risk population: lessons learned following defeat of the Applewhite Dam and Reservoir Project in San Antonio,Texas

San Antonio, Texas, the seventh largest city in the United States, has experienced steady population growth, since the “boom” of the 1960s. Projected water shortages due to this growth were realized as early as the 1970s by city leaders and south-central Texas regional development decision makers. To reduce dependence on the already over-taxed, Edwards aquifer, a solution, the Applewhite Dam and Reservoir Project, was developed with wide acceptance by federal, state, and city leaders who regarded the project as a necessary measure for regional growth and development. However, opposition by taxpayer and environmental groups led to referendums of 1991 and 1994 in which voters blocked construction of the dam and reservoir leaving the city with limited options for water provision. This case study investigated the factors which led to a clear mismatch in communication between decision makers—those who were aware of the actual and quantifiable risk to the region in terms of reduced water supplies—and the general public, a population that did not have complete and/or adequate knowledge of their actual risk regarding future water shortages, nor, of solutions being developed, such as the Applewhite project. The findings from this case study indicate that when municipal leadership fails to adequately communicate risk regarding resource shortage to an affected public, as well as, openly planned solutions, that voters are likely to underestimate future impacts of water shortages, heed last-minute opposition, and reject long-standing, publicly proposed projects. The intent of this research is not to support either side in the Applewhite controversy, but to shed perspective on the process of adequately and effectively communicating future water needs to an at-risk population. Decision makers in cities across the United States who are faced with solving problems of limited resources needed by a large populace may be informed by the results of this research.     

Cohort Succession in the US Housing Market: New Houses, the Baby Boom, and Income Stratification

Federal housing policy in the US across the postwar period supported the construction of new houses more than public provision or renovation of older structures as a means of ensuring a sufficient supply of quality dwellings. Understanding trends in new housing in particular is thus crucial to understanding the housing regime. Following Myers (Housing demography: Linking demographic structure and housing markets. University of Wisconsin Press, 1990; Housing Studies, 14, 473–490,1999), this paper conceptualizes historical change in the housing stock within a demographic framework as the movement of cohorts of households through cohorts of housing stock. Recent evidence suggests that a new cohort of houses arose in the 1980s and 1990s (larger with more amenities than past vintages), and that buyers of those new houses were increasingly affluent. In this paper, I link the succession to a new cohort of houses to household cohort succession and examine the increasing affluence of new house buyers by age and cohort, focusing especially on the entry of the Baby Boom generation exactly when the new cohort of houses arrived. I use US Census microdata for 1960–2000 to develop a cohort longitudinal dataset, and analyze historical change in stratification in new house ownership. I find significant shifts between cohorts in income inequality among new house buyers, with implications for the capacity of the housing regime to meet the future needs of an increasingly diverse population.

The importance of being mature: the effect of demographic maturation on global per capita GDP

Given that savings behaviour and worker productivity have strong life-cycle components and given that demographic profiles vary across countries, population age structure should be linked to differences in levels of economic development. In this paper, we measure the economic importance of age structure variation for the global economy. We find that demographic maturation has been associated with nearly half of the evolution of global per capita GDP since 1960. We also find that age structure differences can account for just over half of the variation in worldwide per capita GDP (i.e. the lack of sigma convergence) observed since 1960.

Birth outcome, not pregnancy process: Reply to van der Veen

In a recent article (Frisbie. Forbes. and Pullum 1996) we documented racial/ethnic differences in birth outcomes according to a more fine-grained classification than has typically been employed in the demographic literature. In his commentary, van der Veen focuses on the measurement of one of the dimensions of that classification, maturity of the infant. as proxied by the fetal growth ratio. The crux of the critique is easily seen in van der Veen's statement that “all of my disagreements with Frisbie et al. 's method arise from their particular use of a postnatal standard for the assessment of intrauterine growth.” Our critic misunderstands our objective: He fails to realize our interest in birth outcome, not pregnancy process, and does not perceive that our intent was to extend the research extant in both the demographic and public-health literatures in which patently postnatal (i.e., ex utero) measures are taken as outcomes interesting in their own right and/or as risk factors for infant mortality and infant and childhood morbidity. Specifically, he does recognize that we purposefully expanded our focus to include moderately compromised births to determine if they were at higher risk than the normal births with whom they are conventionally categorized. Our discussion draws on research cited in the original article, on studies cited by our critic, and on a few more recent investigations. Although we have never argued that ours is the only, or even the best, approach in all cases, we try to clarify the rationale for, and adduce additional empirical evidence of, the utility of the method we used.     

Beyond single mothers: Cohabitation and marriage in the AFDC program

We investigate the extent and implications of cohabitation and marriage among U.S. welfare recipients. An analysis of four data sets (the Current Population Survey, the National Survey of Families and Households, the Panel Study of Income Dynamics, and the National Longitudinal Survey of Youth) shows significant numbers of cohabitors among recipients of AFDC. An even more surprising finding is the large number of married women on welfare. We also report the results of a telephone survey of state AFDC agencies conducted to determine state rules governing cohabitation and marriage. The survey results indicate that, in a number of respects, AFDC rules encourage cohabitation. Finally, we conduct an analysis of the impact of AFDC rules on cohabitation, marriage, and single motherhood and find weak evidence in support of incentives to cohabit.