A New Lens on High School Dropout: Use of Correspondence Analysis and the Statewide Longitudinal Data System

The combination of log-linear models and correspondence analysis have long been used to decompose contingency tables and aid in their interpretation. Until now, this approach has not been applied to the education Statewide Longitudinal Data System (SLDS), which contains administrative school data at the student level. While some research has been conducted using the SLDS, its primary use is for state education administrative reporting. This article uses the combination of log-linear models and correspondence analysis to gain insight into high school dropouts in two discrete regions in Kentucky, Appalachia and non-Appalachia, defined by the American Community Survey. The individual student records from the SLDS were categorized into one of the two regions and a log-linear model was used to identify the interactions between the demographic characteristics and the dropout categories, push-out and pull-out. Correspondence analysis was then used to visualize the interactions with the expanded push-out categories, boredom, course selection, expulsion, failing grade, teacher conflict, and pull-out categories, employment, family problems, illness, marriage, and pregnancy to provide insights into the regional differences. In this article, we demonstrate that correspondence analysis can extend the insights gained from SDLS data and provide new perspectives on dropouts. Supplementary materials for this article are available online.     

AN APPLICATION OF QUEUING THEORY TO A CONGESTION PROBLEM IN AN OUTPATIENT CLINIC*

The purpose of this paper is to discuss an application of queuing theory as an analytical framework for evaluating the adequacy of physician capacity in an outpatient clinic for medically indigent patients. Specific attention is given to the problems of parameter estimation including service and waiting cost. A method is also discussed whereby the relationship of physician cost and patient waiting cost may be imputed after the fact from observation of actual clinic operations.     

What makes a developmental network state durable?

As dynamic collaborations between networks of specialists have become more central to developing cutting-edge innovations, designing and sustaining innovation policies that foster them has become an increasingly central concern. This article reviews the characteristics of the “developmental network” or “neo-developmental” states that have been shown to foster innovations at the technological horizon. It then analyzes the US case to suggest why some developmental network approaches to governance have proven relatively durable, while others have not. We conclude with a discussion of what can – and cannot – be learned from the US case, and suggest the importance of comparative work on the sustainability of effective innovation-centered approaches to governance.     

Cross-country disparities in skill premium and skill acquisition

Skilled individuals are rewarded more in poor than in rich countries. Why aren't more individuals acquiring skills in poor countries? We document that the unemployment rate of the skilled net of that of the unskilled decreases with a country's level of development. Using a matching model of occupational choice and skill acquisition, we quantify the role of barriers to enter entrepreneurship for these unemployment rates, skill premium and acquisition. The cross-country correlation between skill premium and acquisition decreases by 45% when each country's gap to the US in the entrepreneurship barrier is decreased enough to even the unemployment differential.