Readiness for Career Choices: Planning,Exploring, and Deciding

One of Super's most important contributions has been in explicating those developmental tasks that involve planning, exploring, and deciding, processes known collectively as readiness for career choices. The authors review existing means of conceptualizing and operationalizing the various aspects of readiness, as well as innovative practice applications that have emerged from this work. Next, selected elaborations and extensions of the readiness construct are described. Finally, future directions for theory and research on readiness are presented with a particular emphasis on the promise of considering contextual issues, motivational factors, and an expanded measurement perspective in subsequent inquiry and practice.     

Bandwidth selection for local linear regression smoothers

Summary. The paper presents a general strategy for selecting the bandwidth of nonparametric regression estimators and specializes it to local linear regression smoothers. The procedure requires the sample to be divided into a training sample and a testing sample. Using the training sample we first compute a family of regression smoothers indexed by their bandwidths. Next we select the bandwidth by minimizing the empirical quadratic prediction error on the testing sample. The resulting bandwidth satisfies a finite sample oracle inequality which holds for all bounded regression functions. This permits asymptotically optimal estimation for nearly any regression function. The practical performance of the method is illustrated by a simulation study which shows good finite sample behaviour of our method compared with other bandwidth selection procedures.     

The Doldrums

Journal of Population Research -     

Lottery winners: The myth and reality

This paper is based on a study of 576 lottery winners from 12 states. Respondents to a mailed questionnaire included winners of sums ranging from $50,000 to millions. The data indicate that popular myths and stereotypes about winners were inaccurate. Specifically, winners came from various education and employment backgrounds and they were clustered in the higher income categories than the general population indicating that lotteries might not be as regressive as popularly believed. Winners were older than the general population and more often male (60 versus 40%). There was significant association between the amount a person won and his or her work behavior. Individuals with psychologically and financially rewarding jobs continued working regardless of the amount they won, while people who worked in low paying semi-skilled and unskilled jobs were far more likely to quit the labor force. Contrary to popular beliefs, winners did not engage in lavish spending sprees and instead gave large amounts of their winnings to their children and their churches. The most common expenditures were for houses, automobiles and trips. It was found that overall, winners were well-adjusterd, secure and generally happy from the experience.This study was funded by a grant from the Institute for Socioeconomic Studies in White Plains, New York.