Using a Verbal Analysis of Lady Gaga’s Applause as a Classroom Exercise for Teaching Verbal Behavior

The Analysis of Verbal Behavior - Learning Skinner’s (1957) verbal behavior taxonomy requires extensive study and practice. Thus, novel classroom exercises might serve this goal. The present...     

CASH INFLOWS AND BUBBLES IN ASSET MARKETS WITH CONSTANT FUNDAMENTAL VALUES

Previous experimental research on asset markets has reported that the level of cash available to traders does not affect asset prices when fundamentals follow a time trajectory that is constant over time. This contrasts with other research indicating that greater cash levels increase prices when fundamental values are decreasing over time. We report a new experiment in which we show that greater initial cash levels are indeed associated with higher prices when fundamental values are constant over time. Thus, high cash levels will lead to bubbles, if the cash is introduced before the market opens. Our results reconcile the two previous sets of findings. (JEL C90, D03, G02, G12)     

DID REGIONAL ECONOMIC DIVERSITY INFLUENCE THE EFFECTS OF THE GREAT RECESSION?

Using data for U.S. counties from 2005 to 2012, we test whether higher levels of economic diversity mediated the effects of the Great Recession via four measures of stability. Spatial spillover effects are modeled by the use of the spatial Durbin estimator with heteroscedastic errors. The data generally support the central hypothesis that higher levels of diversity within a county are associated with enhanced employment stability across all counties as well as subsets of metro and nonmetro counties. Results for wage stability, however, appear to contradict our other findings. We suggest that underlying labor elasticities can bridge these apparent contradictory results. (JEL R11, R12, O47)     

Orientating disability studies to disablist austerity: applying Fraser’s insights

Many disabled people in Britain have experienced profound challenges brought about by a government policy programme characterised by ‘austerity’. Drawing on the work of Fraser and Polanyi, this article explores new ways in which disability studies can become theoretically orientated to the task of explaining and challenging what has become an issue of overbearing importance for many disabled people. It is argued that Fraser’s notion of bivalency encapsulates the combination of cultural and economic challenges which characterise ‘disablist austerity’. Fraser’s development of Polanyi’s work is used to argue that disability studies should be orientated to large-scale economic challenges as well as cultural and discursive concerns that are more often the object of study in the field.     

College-bound friends and college application choices: Heterogeneous effects for Latino and White students

Friends are among the most influential social forces affecting adolescent behavior, yet little work has focused on the influence of friends on the decision to apply to college. Using data from the senior cohort of the Texas Higher Education Opportunity Project, we employed propensity score matching with sensitivity analyses to investigate links between having college-oriented friends and applying to college. We found that college-oriented friends increased the likelihood of applying to any college and to 4-year colleges, both for White and Latino students. However, Latino students benefited less from college-oriented friends compared to White students. Our findings suggest that college-choice models should more directly account for the influence of friends in applying to college, taking account of racial and ethnic differences, and future research should explore why Latino students benefit less.     

COST INCREASES DUE TO DEMAND UNCERTAINTY IN MRP LOT SIZING

This paper analyzes the cost increases due to demand uncertainty in single-level MRP lot sizing on a rolling horizon. It is shown that forecast errors have a tremendous effect on the cost effectiveness of lot-sizing techniques even when these forecast errors are small. Moreover, the cost differences between different techniques become rather insignificant in the presence of forecast errors. Since most industrial firms face demand uncertainty to some extent, our findings may have important managerial implications. Various simulation experiments give insight into both the nature and the magnitude of the cost increases for different heuristics. Analytical results are developed for the constant-demand case with random noise and forecasting by exponential smoothing. It is also shown how optimal buffers can be obtained by use of a simple model. Although the analysis in this paper is restricted to simplified cases, the results merit further consideration and study. This paper is one of the first to inject forecast errors into MRP lot-sizing research. As such it attempts to deal with one of the major objections against the practical relevance of previous research in this area.     

The Role of Behavioral Theory in Model Development Research with Single Parent Families

In this paper, the authors critically examine the plight of single parent families with young children. Next, they lay out in detail the contributions of the behavioral perspective to practice model development research with single-parent families of children under the age of 12. The authors discuss implications for future theory driven practice model development research with cultural specific single parent families. They believe that future model development research efforts with culturally diverse single parent families will aid in advancing the state of cultural competence research in social work while assisting single parents relieve suffering and enhance child and family well-being.     

Benchmark Dose Analysis via Nonparametric Regression Modeling

Estimation of benchmark doses (BMDs) in quantitative risk assessment traditionally is based upon parametric dose‐response modeling. It is a well‐known concern, however, that if the chosen parametric model is uncertain and/or misspecified, inaccurate and possibly unsafe low‐dose inferences can result. We describe a nonparametric approach for estimating BMDs with quantal‐response data based on an isotonic regression method, and also study use of corresponding, nonparametric, bootstrap‐based confidence limits for the BMD. We explore the confidence limits’ small‐sample properties via a simulation study, and illustrate the calculations with an example from cancer risk assessment. It is seen that this nonparametric approach can provide a useful alternative for BMD estimation when faced with the problem of parametric model uncertainty.