Macroeconomic Determinants of Equilibrium Unemployment Insurance

This paper proposes a new modeling strategy as regards the definition of an optimal level of unemployment benefits. While the traditional methodology privileges labor market equilibrium to derive optimal employment, wage and unemployment benefit levels, we present a model in which the optimal level of unemployment benefits is a function of the government’s macroeconomic objectives in terms of inflation and output fluctuations. In a second stage, the model allows for the investigation of unemployment insurance effects on labor market equilibrium.     

Methodological considerations in using complex survey data: an applied example with the Head Start Family and Child Experiences Survey

Complex survey data are collected by means other than simple random samples. This creates two analytical issues: nonindependence and unequal selection probability. Failing to address these issues results in underestimated standard errors and biased parameter estimates. Using data from the nationally representative Head Start Family and Child Experiences Survey (FACES; 1997 and 2000 cohorts), three diverse multilevel models are presented that illustrate differences in results depending on addressing or ignoring the complex sampling issues. Limitations of using complex survey data are reported, along with recommendations for reporting complex sample results.     

Complex sample data recommendations and troubleshooting

Complex survey data, as highlighted in this issue of Evaluation Review, provide a wealth of opportunities for answering methodological and/or applied research questions. However, the analytic issues of nonindependence and unequal selection probability must be addressed when analyzing this type of data. Thus, to ensure that research questions are accurately answered when using complex survey data, researchers must take extra precautions to ensure complex survey data are correctly analyzed. The purpose of this article is to provide software recommendations for analysis of and tips on troubleshooting when analyzing complex sample data.     

How the Japanese came to dominate the machine tool business

This paper reports the major findings of a study of the strategic evolution of the machine tool industry. The author interviewed more than 70 machine tool corporations in five countries, plus a number of industry experts and officials. The major conclusion of the study is that what for a long time was perceived to be a mature slow-moving industry, actually is undertaking a fast process of change. Corporations and governments which fail to recognize the sources and directions of change are heading for trouble.     

Using collaboration to maximize outcomes for a John A. Hartford Foundation geriatric enrichment project

Two institutions representing two BSW and one MSW program and a geriatric education center collaborated in a John A. Hartford geriatric enrichment project. Sharing the risks and benefits of a collaborative model, 75 percent of faculty participated in mini faculty fellowships, and bi-monthly dinner meetings with colleagues from each of the three programs, and actively engaged in the curricula revisions. Faculty report pervasive geriatric enrichment in each program's foundation content areas, and increases in students placed in geriatric enriched field practicum settings, from pre-project levels of 8.1 percent to a high of 24 percent. The features of the collaborative project include: respecting each program's autonomy while actively sharing ideas, resources and partnering with community's aging experts; and strengthening mutually reciprocal relationships among faculty and the gerontologic practice community. This model of shared risks and benefits also provides opportunities for innovation, diverse thinking, and shared decision making.