On eigenvalues, case deletion and extremes in regression

This paper presents an approximation for assessing the effect of deleting an observation in the eigenvalues of the correlation matrix of a multiple linear regression modelo Applications in connection with the detection of collinearityinfluential observations are explored

On the behaviour of residual plots in regression

Properties of least squares versus robust regression residual plots are compared under a common set of assumptions

Student and School Indicators for Youth in California's Central Valley

Provides a statistical portrait of elementary, secondary, and postsecondary education in the Central Valley. Examines trends in school resources, course enrollment, and student achievement in the region, and compares to trends in the rest of the state

More time is better : an evaluation of the fulltime school program in Uruguay

This paper estimates the impact of the full-time school program in Uruguay on standardized test scores of 6th grade students. The program lengthened the school day from a half day to a full day, and provided additional inputs to schools to make this possible, such as additional teachers and construction of classrooms. The program was not randomly placed, but targeted poor urban schools. Using propensity score matching, the authors construct a comparable group of schools, and show that students in very disadvantaged schools improved in their test scores by 0.07 of a standard deviation per year of participation in the full-time program in mathematics, and 0.04 in language. While the program is expensive, it may, if well targeted, help address inequalities in education in Uruguay, at an increase in cost per student not larger than the current deficit in spending between Uruguay and the rest of the region.Tertiary Education,Education For All,Teaching and Learning,Primary Education,Secondary Education

A microfoundation for adaptability returns to schooling and technological complexity

In a frictional environment, technological complexity creates adaptability returns to schooling. This paper provides microfoundations to such an argument, and revisits the impacts of worker heterogeneity and risk aversion. In our model, firms and workers are located on a knowledge space. Education widens the measure of the knowledge subset that the worker embodies, while technological complexity expands the measure of the knowledge subset that is required to operate on the job. We find uncertainty with regard to the type of the future partner motivates schooling, while it inhibits technological complexity. When workers differ in scholastic ability, the welfare of a given group increases with the proportion of workers of this group. Finally, risk aversion motivates a precautionary demand for education, which in turn creates income risk through firms' technological choices.Education; Multi-dimensional skills; Frictions; Heterogeneity; Risk aversion

A quantile approach to the box-cox transformation in random samples

This paper presents an alternative approach to the likelihood methods for estimating the parameter A in the Box-Cox family of transformations when the data arise from a random sample. The method is based on a representation of the quantile function of the variable under consideration. Theoretical properties of the method, its practical applications and comparison with the likelihood approach are studied

Diagnostics and robust estimation in multivariate data transformations

This paper presents a method for detecting multivariate outliers which might be distorting theı estimation of a transformation to normality. A robust estimator of the transformation parameter is also proposed

A note on the multivariate box-cox transformation to normality

We study some aspects of the multivariate Box-Cox transformation to normality which have received little attention in the literature