Sorting it out: pile sorting as a mixed methodology for exploring barriers to cancer screening

We discuss a mixed methodology for analyzing pile sorting data. We created a list of 14 barriers to colon cancer screening and recruited 18, 13, and 14 participants from three American Indian (AI) communities to perform pile sorting. Quantitative data were analyzed by cluster analysis and multidimensional scaling. Differences across sites were compared using permutation bootstrapping. Qualitative data collected during sorting were compiled by AI staff members who determined names for the clusters found in quantitative analysis. Results showed five clusters of barriers in each site although barriers in the clusters varied slightly across sites. Simulation demonstrated type I error rates around the nominal 0.05 level whereas power depended on the numbers of clusters, and between and within cluster variability.     

The Gender Gap in Funeral Directors: Burying Women with Ready‐to‐Embalm Laws?

Over the last few decades, the gender composition of funeral directors in the United States has changed dramatically as women have entered this traditionally male‐dominated occupation. To practise as funeral directors, women (and men) must be licensed in all but one state. The most extensive training requirements exist in the 27 states with ‘ready‐to‐embalm’ laws, which require funeral directors to be embalmers. Using a sample of 45,989 licensing records from 40 states, we find that 18.1 per cent of funeral directors were women in 2006. However, the proportion is significantly lower in states with ready‐to‐embalm laws. Our regressions imply that these laws reduce the proportion of female funeral directors by 24 per cent. More generally, we find that the number of funeral directors per capita is 17 per cent lower, on average, in states with ready‐to‐embalm laws.     

Implementing technology-forcing policies: The 1970 Clean Air Act Amendments and the introduction of advanced automotive emissions controls in the United States

Technology forcing is a strategy where a regulator specifies a standard that cannot be met with existing technology, or at least not at an acceptable cost. Using the 1970 U.S. Clean Air Act for controlling automobile emissions as a baseline example, we demonstrate the importance of the regulatory implementation process if regulations are to foster technological change. The 1970 legislation required steep emissions reductions for new 1975 and 1976 automobiles, which presented automakers with major technical and economic challenges. Nevertheless, the U.S. Environmental Protection Agency successfully forced the adoption of two marquee control technologies—the catalytic converter in 1975 and the three-way catalyst in 1981. We focus on three factors critical to the implementation process: agency credibility to enforce standards, competitive pressures to drive industry research and development, and uncertainty about technological development.     

Choosing Among Regulatory Options in the United States Telecommunications Industry

We examine the determinants of the choice between rate-of-return regulation and incentive regulation in the United States telecommunications industry. We find that a state is more likely to select incentive regulation in any year: (1) when it has employed incentive regulation in the past; (2) when the Republican party controls both the executive and the legislative branches of the state government, but the Democratic party has controlled these branches historically; and (3) as the firms earnings under rate-of-return regulation increase toward the industry average. We also find that appointed regulators are more likely than their elected counterparts to revert to rate-of-return regulation.     

General instrumental variables estimation under stochastic linear restrictions

This letter extends the Theil-Goldberger ‘mixed’ regression estimator, for models subject to stochastic linear restrictions, to the case of stochastic regressors. A general instrumental variables ‘mixed’ estimator is discussed. The asymptotic distribution of the estimator is obtained, and an asymptotic test of the compatibility of the sample and prior information is presented.     

Introduction to the Policy Forum on Commonwealth–State Funding Arrangements

This article introduces the Policy Forum on funding arrangements between the Commonwealth and the States.     

Sectoral and aggregate technology growth in Spain

In this paper we analyze technological change in the Spanish economy by constructing adjusted Solow residuals, where the adjustment attempts to correct for the bias associated with the potential presence of imperfect competition, increasing returns, variable input utilization and, especially, sectoral reallocation of inputs across sectors. We refer to this modified Solow residual as a technology index. Sectoral reallocations and variable input utilization are key determinants of the differences between the aggregate Solow residual and the technology index resulting from the aggregation of estimated sectoral technological growth. We show that starting in the mid nineties, there has been a deceleration in the aggregate growth rate of technology which is basically due to the behaviour of the manufacturing sectors. Finally, our results imply that aggregate technology growth is less volatile than aggregate productivity as measured by the Solow residual.     

Bound for entrepreneurship? A career-theoretical perspective on entrepreneurial intentions

International Entrepreneurship and Management Journal - Research on entrepreneurial intentions, as an important step in the decision to undertake an entrepreneurial career, tends to position career...