The Self-Employment of Men and Women: What are their Motivations?

Do men and women carry different motivations for entering self-employment? Earlier researchers have suggested that, as primary care givers for children and families, women face a more stringent time constraint relative to men. Thus, where men see self-employment as a chance for greater financial opportunity, women see a chance to take work that allows more time at home. This paper investigates this hypothesis using unique data that allow analysis of individual self-employment as a function of traditional economic and demographic variables as well as variables that partially capture individuals’ opinions and perceptions of pecuniary and nonpecuniary aspects of entrepreneurism. Results suggest that men who choose self-employment are influenced principally by pecuniary concerns, while women are influenced principally by family concerns and by the opinions of their family, friends, and peers.     

Competing Frameworks in Planning for the Aged in the Growth Corridors of Melbourne

The Ageing in the Growth Corridors Project was initiated as a partnership between the University of Melbourne and the Department of Health in the Northwest Metropolitan Region of Melbourne, Australia. It involved a research team working with six project officers appointed to stimulate development in relation to an aging population in the sprawling outer metropolitan growth corridors. This article identifies the key lessons learned in terms of project implementation relating to attitudinal and structural barriers to the development of an age-friendly environment in areas of rapid urban growth. The findings illustrate some of the dilemmas raised by competing program conceptions, a dynamic and changing federal/state policy context, and local resource and strategic management constraints. The partnership with the university, nevertheless, provided a point of stability and continuity for the project officers in implementing their mandate.     

MANAGING ACADEMIC INTERDISCIPLINARY RESEARCH PROJECTS*

This field study provides variables that can be used by practitioners as action levers and by future researchers as the basis for theoretical development. Conclusions from relevant literature and findings from interviews with interdisciplinary research management identified forty variables that were viewed as important to interdisciplinary research project success. After adjusting the data for reliability attenuation, these variables were further analyzed to identify the best prediction equation. The findings suggested that project age or the longevity of the project and open discussion of disagreements were the best predictors of performance.     

Reexamining the moving to opportunity study and its contribution to changing the distribution of poverty and ethnic concentration

For the past decade and a half a concerted effort has been undertaken to determine whether policy interventions in residential location can solve the problems of inner-city poverty and racial concentration. Studies based on data from the Gautreaux litigation and the U.S. Department of Housing and Urban Development (HUD)-sponsored Moving to Opportunity (MTO) program have provided an overall optimistic interpretation of the possibilities of improving inner-city lives via mobility vouchers and counseling. A reanalysis of the data from the MTO program, focusing specifically on African American households, suggests greater caution in the interpretation of the findings from either Gautreaux or the MTO program. No statistically significant difference exists between the percentage of poor or the percentage of African Americans in the current neighborhoods between MTO and Section 8 experimental groups. In some cases, there is no statistically significant difference between those who move with a voucher and those who move without any assistance at all. Although there is some evidence that MTO programs have brought specific gains for individual families, claims for the MTO program as a whole need to be treated with a great deal more caution than they have been to date.     

Assessing the devolution revolution: How accurate are state-level estimates from the current population survey

The devolution of many social policy responsibilities from the Federal government to states has prompted increased interest in state-level measures of need. One data source that could be used to provide more state-level information on a variety of topics is the Current Population Survey (CPS). During the past ten years the CPS has been used to produce state-level estimates on a variety of measures. However, there has been little systematic evaluation of these data. This paper provides measures of accuracy for several state-level estimates derived from the CPS. These include standard errors for single-year estimates, three-year averages, and five-year averages of the March CPS measures; standard errors for three-year averages of 12-month CPS files; and comparison of CPS-based estimates to data from the Decennial Census. The paper also examines the relative accuracy of CPS estimates based on states' size. The information in this study will help analysts better understand the tradeoffs between timeliness and accuracy to be considered when using state-level estimates derived from the CPS.     

Ambiguous Criteria Weights in AHP: Consequences and Solutions*

Two related streams of criticism of the analytic hierarchy process (AHP) have not yet been satisfactorily resolved, although both date from the early 1980s. The first relates to ambiguity in the meaning of the relative importance of one criterion as compared to another. The second is concerned with reversals of rank alleged to be possible when new options are introduced in an AHP problem. Both proponents and critics of AHP agree that rank reversals occur, but disagree on the legitimacy of such reversals. This paper shows that there is a necessary correspondence between the manner in which criteria importances are interpreted and computed and the manner in which the weights of the options under each criterion are normalized. In general, if this relationship is ignored, incorrect weights are generated for options under consideration regardless of whether new options are added or deleted. A rank reversal on the addition of an option is merely symptomatic of this fact, and such reversals do not occur when the correspondence condition is met.     

Comparing the U.S. Decennial Census Coverage Estimates for Children from Demographic Analysis and Coverage Measurement Surveys

Following every U.S. decennial census since 1960, the U.S. Census Bureau has evaluated the completeness of coverage using two different methods. Demographic analysis (DA) compares the census counts to a set of independent population estimates to infer coverage differences by age, sex, and race. The survey-based approach (also called dual system estimation or DSE) provides coverage estimates based on matching data from a post-enumeration survey to census records. This paper reviews the fundamentals of the two methodological approaches and then initially examines the results of these two methods for the 2010 decennial census in terms of consistency and inconsistency for age groups. The authors find that the two methods produce relatively consistent results for all age groups, except for young children. Consequently, the paper focuses on the results for children. Results of the 1990, 2000, and 2010 decennial censuses are shown for the overall population in this age group and by demographic detail (age, race, and Hispanic origin). Among children, the DA and DSE results are most inconsistent for the population aged 0–4 and most consistent for ages 10–17. Results also show that DA and DSE are more consistent for Black than non-Black populations. The authors discuss possible explanations for the differences in the two methods for young children and conclude that the DSE approach may underestimate the net undercount of young children due to correlation bias.     

Former Minister Zhang's discourse on SARS: Government's image restoration or destruction?

This study analyzes the image repair discourse by Chinese Health Minister Zhang Wenkang's discourse on SARS. The minister faced several accusations: the SARS outbreak was growing, the Chinese government had covered up the severity of this problem, the Chinese government ignored Taiwanese who suffered from SARS, and the Health Ministry provided information that was neither timely nor accurate. He employed several image repair strategies (denial, defeasibility, bolstering, minimization, differentiation, attack accuser, and corrective action). However, his messages were contradictory and apparently related on false information, so his efforts were unsuccessful and he was stripped of his office.