Some new techniques for applying the housing unit method of local population estimation

The housing unit method of population estimation is often characterized as being imprecise and having an upward bias. We believe that the method itself cannot properly be characterized by a particular level of precision or direction of bias. Only specific techniques of applying the method can have such characteristics. In this paper we discuss several new techniques we have developed for estimating households and the average number of persons per household. Estimates produced by these techniques are compared to estimates produced by several other techniques. Special census results from Florida provide preliminary evidence that the new techniques produce more precise, less biased estimates than the other techniques.     

Job satisfaction as an indicator of the quality of employment

It is suggested that the quality of employment should be assessed from the value perspectives of the employer and of society as well as the perspective of the worker. The prevailing conception of the nature of job satisfaction, and the associated measurement methods, provide useful but unnecessarily limited indicators of the quality of employment. An enlarged conception is offered as to the nature of job satisfaction, its causes, and its possible consequences. The implications of this conception for the utility of satisfaction measures as social indicators are examined as to three aspects: (1) The psychology of job satisfaction; (2) The sociology of job satisfaction; (2) The approach and technology of using subjective satisfaction measures in conjunction with other indicators. The view is expressed that direct measures of subjective job satisfaction are an essential component in any effort to make comparisons or monitor changes in the quality of employment, but that such measures, like other subjective and objective indicators, have ambiguous meaning if used alone.     

A regression approach to estimating the average number of persons per household

In the housing unit method, population is calculated as the number of households times the average number of persons per household (PPH), plus the population residing in group quarters facilities. Estimates of households and the group quarters population can be derived directly from concurrent data series, but estimates of PPH have traditionally been based on previous values or estimates for larger areas. In our study, we developed several regression models in which PPH estimates were based on symptomatic indicators of PPH change. We tested these estimates using county-level data in four states and found them to be more precise and less biased than estimates based on more commonly used methods.     

Assessing Antecedents of Socially Responsible Supplier Selection in Three Global Supply Chain Contexts

A number of highly publicized, controversial lapses in social responsibility within global supply chains have forced managers and scholars to reexamine long‐held perspectives on supplier selection. Extending Carter and Jennings’ department‐level study of purchasing social responsibility, our research assesses the role of supply managers’ ethical intentions and three key antecedents that drive socially responsible supplier selection. Comparing evidence from firms operating in China, the United States, and the United Arab Emirates, we identify three key drivers of supply managers’ ethical intentions and examine both their direct and indirect impacts on socially responsible supplier selection. We find differential support for the predictor relationships on supply manager ethical intentions across national contexts and mediated versus nonmediated models. These observations bear important implications for firms conducting global supply management.     

A mixed method study of propensity for participatory evaluation

One way to increase the use of evaluation results is practical participatory evaluation (PPE), which enables non-evaluator participants to join the evaluation process in a participatory mode. We examined the propensity for PPE of health professionals by focusing on four components: learning, working in groups, using judgment and using systematic methods. We interviewed the professionals at a Haitian health institution to determine their positioning on a scale of propensity (low, medium and high) for the four components. The professionals defined each component in relation to the energy puts into them, being more or less proactive. Facilitating elements for all three levels of propensity integration included past positive experiences, external pressure and a desire for better individual and organizational performance. Impeding factors included a lack of available resources perceived responsibilities and commitments toward private patients. The reported advantages included improved organizational performance and idea sharing, and the disadvantages included availability of, difficulty implementing solutions and altered human relationships.     

Measurement Error and the Effects of Unions on the Compensating Differentials for Fatal Workplace Risks

With essentially the same estimation methods and time period but using different UK data sets and risk measures, Sandy and Elliott (1996) found that nonunion male manual workers had a substantially higher fatal risk premium than union workers while Siebert and Wei (1994) found the opposite. This paper attempts to reconcile these conflicting results using the different measures of fatal risk employed in these two studies together on the same data set. The conflicting results are due to several types of measurement error. We find substantial miscoding in the employee-reported industry affiliation as well as larger errors-in-variables bias in the industry-based risk than in the occupation-based risk.     

An Evaluation of Hispanic Population Estimates*

Objective. Estimates of the Hispanic population have traditionally been based on historical trends, ratios, or some variant of the cohort‐component method. In this article, we describe and test a methodology in which estimates of the Hispanic population are based on symptomatic indicators of population change such as births, deaths, and school enrollments. Methods. Using a variety of techniques, we develop Hispanic population estimates for counties in Florida. We evaluate the accuracy of those estimates by comparing them with 2000 Census counts. Results. Hispanic population estimates have larger errors than estimates of total population; errors vary considerably by population size and growth rate; some techniques perform better than others in places with particular population characteristics; and averages often perform better than individual techniques. Conclusions. In many circumstances, symptomatic data series can provide more accurate estimates of the Hispanic population than more commonly used techniques.