#136 – HOW TO ESTIMATE AND PRIORITIZE RISKS – STEPHEN FLICK

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AAA FILICKEstimating and prioritizing risks is a time-consuming process and the results of risk estimation and prioritization don’t often inspire a great deal of confidence in the process. It’s not a perfect process and it will probably never be. We’re not perfect and nothing we ever make[1] will ever be. Continue reading

#136 – ON THE PAYOFF OF ATTENDING AN ELITE COLLEGE – NATIONAL BUREAU OF ECONOMIC RESEARCH

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thIn today’s high-tech economy, just about everybody has gotten the message that it pays to get a college degree. What is less clear to many parents and their college-bound youngsters is whether it makes economic sense to attend an elite school with a total four-year price tag big enough to buy a nice suburban house in many parts of the country.

Does the earnings return from a diploma with the name of an elite institution stamped on it justify the higher expense, or is the reputation of the college aristocracy vastly overblown, at least when it comes to subsequent income? It’s a question that more and more economists are researching, while many parents and policymakers would like to know the answer.

Yet researchers have long found it difficult to tease out the labor market effects of college quality versus other characteristics that employers reward. The problem is that students who attend selective schools are likely to have higher earnings potential regardless of where they attend college for the very same reasons that they were admitted to the more selective schools in the first place. In a recent NBER Working Paper, Stacy Berg Dale and Alan Krueger try two novel approaches to solving this problem. In Estimating The Payoff To Attending A More Selective College: An Application of Selection On Observable and Unobservables (NBER Working Paper No. 7322) they use data from the College and Beyond Survey to match 6,335 students who were accepted and rejected by a comparable set of colleges in 1976. They then compare labor market outcomes in 1995 among students who had the same menu of choices, but among whom some attended more selective schools than others. They also use this data set and the National Longitudinal Survey of the High School Class of 1972 to estimate the impact on students’ subsequent earnings of the average SAT scores of all the schools they applied to as well as the average SAT score of the school they attended.

They find that school selectivity, measured by the average SAT score of the students at a school, doesn’t pay off in a higher income over time. “Students who attended more selective colleges do not earn more than other students who were accepted and rejected by comparable schools but attended less selective colleges,” the researchers write. They also find that the average SAT score of the schools students applied to but did not attend is a much stronger predictor of students’ subsequent income than the average SAT score of the school students actually attended. They call this finding the “Spielberg Model” because the famed movie producer applied to USC and UCLA film schools only to be rejected, and attended Cal State Long Beach. Evidently, students’ motivation, ambition, and desire to learn have a much stronger effect on their subsequent success than the average academic ability of their classmates.

Still, they do find that some aspects of colleges are related to students’ subsequent economic success, even after adjusting for the abilities of the students upon applying to college. For example, students who attend colleges with higher average tuition costs or spending per student tend to earn higher incomes later on. The internal real rate of return on college tuition for students who went to college in the late 1970s was a startlingly high 16 to 18 percent. But with college costs up sharply since then, returns have probably come down to a more normal range. The authors speculate that tuition may affect future earnings because schools with higher tuitions offer more resources or higher quality products to their students.

Finally, the results of this study suggest that no matter what measurement of college quality is used, the income gains from attending an elite college are highest for students from a disadvantaged background. “School admission and financial aid policies that have as a goal attracting students from more disadvantaged family backgrounds may raise national income, as these students appear to benefit most from attending a more elite college,” they say. Their results are bound to play a role in the national debate over financial aid and affirmative action policies at the nation’s premier schools.

Christopher Farrell – (C) National Bureau of Economic Research

#135 – OPERATIONAL EXCELLENCE MATURITY MODEL – JOSEPH PARIS

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Paris_Aug2012I have met countless Continuous Improvement and Operational Excellence professionals over the course of my career.  And, in turn, I have become acquainted with their roles and efforts in regards to driving value to their organizations.  Oftentimes, these professionals, although possessing great passion for, and pride in, the value they drive to their companies, express their frustrations at the lack of proper support from their company in their efforts. Continue reading

#135 – RISK ASSESSMENT BENEFITS – GREG HUTCHINS

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Greg Hutchins pixRisk assessment is a critical element of ISO 31000 risk management framework. Risk assessment provides the requisite evidence based data and information for Risk Based Thinking, specifically risk based problem solving and risk based decision making. Using the appropriate risk assessment for the organization can determine how to treat and manage specific risks. Continue reading

#135 – STRUCTURING ICT MANAGEMENT TO ALIGN IT WITH THE ENTERPRISE – PART IV PRINCIPLES OF ENTERPRISE ICT ALIGNMENT – HOWARD WIENER

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Howard Wiener PixIn the previous posts in this series, we covered:

  • Part I: models of the enterprise and ICT and the need to rationalize the two in order to manage both properly.
  • Part II: a four-level enterprise model consisting of strategy, business model, operating model and operational architecture; the need for and value of creating and maintaining the as-is model.
  • Part III: the as-is model and its role in the existing EA, planning for transformation and ensuring that the enterprise is equally capable of evaluating changes emanating outside-in and inside-out.

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