Navigating the Road to College: Race and Class Variation in the College Application Process

College attendance brings significant financial gain in lifetime earnings, and in order to reap those benefits more students are attending college than ever before. At the same time as more students have been applying to college, the application process itself has changed dramatically in the last few decades. As the last hurdle on the road to college, the application process is a critical step in the overall college‐choice process. However, until recently much of the research on college choice gave little attention to the actual steps of college application and did not always attend to variations by race and class. Considering the increasing importance of a college education and the consistent inequalities by race and class in who attends college, research examining how social background affects the ways in which students navigate the college application process is crucial. This review examines what we do know about race and class variation in college application, drawing from literature across sociology, economics, and higher education. This review addresses three questions: how does the admissions and application process affect race and class inequalities in college attendance? How have scholars modeled this process and do these models capture the experiences of students across race and class? And finally, how do students from different social backgrounds vary in their approach to applying to college?     

Robust regression using iteratively reweighted least-squares

The rapid development of the theory of robust estimation (Huber, 1973) has created a need for computational procedures to produce robust estimates. We will review a number of different computational approaches for robust linear regression but focus on one—iteratively reweighted least-squares (IRLS). The weight functions that we discuss are a part of a semi-portable subroutine library called ROSEPACK (RObust Statistical Estimation PACKage) that has been developed by the authors and Virginia Klema at the Computer Research Center of the National Bureau of Economic Research, Inc. in Cambridge, Mass. with the support of the National Science Foundation. This library (Klema, 1976) makes it relatively simple to implement an IRLS regression package.     

On O.L.S. estimation in singular linear models with general positive definite dispersion matrix

A condition in Graybill [1976] for the O.L.S.estimator to be B.L.U.E. in a linear model with positive definite dispersion not necessarily proportional to the identity matrix is extended to cover the case of a singular linear model.     

Balancing type I and type II error probabilities: further comments on proof of safety vs proof of hazard

This paper elaborates on earlier contributions of Bross (1985) and Millard (1987) who point out that when conducting conventional hypothesis tests in order to “prove” environmental hazard or environmental safety, unrealistically large sample sizes are required to achieve acceptable power with customarily-used values of Type I error probability. These authors also note that “proof of safety” typically requires much larger sample sizes than “proof of hazard”. When the sample has yet to be selected and it is feared that the sample size will be insufficient to conduct a reasonable.     

Familywise robustness criteria for multiple-comparison procedures

A criticism of multiple-comparison procedures is that the family of inferences over which an error rate is controlled is often arbitrarily selected, yet the conclusion may depend heavily on the choice of the family. Such ambiguity is most likely in large exploratory studies requiring numerous simultaneous inferences. In ambiguous situations it is desirable that results of multiple-comparison procedures depend little on the chosen family. To assess this, we propose several familywise robustness criteria to evaluate such procedures, and we find some of their properties theoretically and by simulation. Procedures that control the false discovery rate seem to be familywise robust.     

Conditional Score Tests for Heteroscedasticity in the Two-Way Error Components Model

This paper extends the one-way heteroskedasticity score test of Holly and Gardiol (2000, In: Krishnakumar, J, Ronchetti, E (Eds.), Panel Data Econometrics: Future Directions, North-Holland, Amsterdam, pp. 199–211) to two conditional Lagrange Multiplier (LM) tests of heteroskedasticity under contiguous alternatives within the two-way error components model framework. In each case, the derivation of Rao's efficient score statistics for testing heteroskedasticity is first obtained. Then, based on a specific set of assumptions, the asymptotic distribution of the score under contiguous alternatives is established. Finally, the expression for the score test statistic in the presence of heteroskedasticity and related asymptotic local powers of these score test statistics are derived and discussed.     

Activity theory and the view from somewhere: Team perspectives on the intellectual work of programming

The study we describe here, an ethnographic investigation of the cognitive work of three programming teams, led us to emphasize an aspect of situatedness that is relatively unexplored: the developing perspective ofintellectual workers on their contexts of action. We followed teams composed of students in a Department of Computer Science as they were being taught “software engineering.” Despite their subordinate position as students, we found that the institution was not totally successful in dictating their work; we could not assume a similarity of work activity across teams. Instead the teams' perspectives on their projects were collectively developed over the course of the project and they diverged. Consequently, the teams differed in their construal of the objects of their intellectual work and in the significance and time they devoted to the components of their work, and to the ways in which they carried them out. In this paper we recount these differences and relate them ultimately to ongoing tensions and contradictions within, and external to, the university. “Perspective,” we argue, usefully extends the applicability of theories of situated cognition, especially activity theory, to the type of diversity we encountered.¹     

THE CHANGING RESPONSIVENESS OF WAGES TO PRICE-LEVEL SHOCKS: EXPLICIT AND IMPLICIT INDEXATION

The article provides evidence for the U.S over the period 1961-84 that the responsiveness of nonunion wages to price-level shocks changes through time much as the degree of indexation in union contracts does, suggesting that there exists implicit as well as explicit indexation. When coupled with the result from previous research that indexation responds positively to inflation uncertainty, the findings indicate that greater inflation uncertainty may lead to reduced overall wage rigidity. In the context of a rational expectations model with long-term wage contracts, a decline in the effectiveness of an activist monetary policy could result.