School Choice and the Distributional Effects of Ability Tracking: Does Separation Increase Inequality?

Tracking programs have been criticized on the grounds that they harm disadvantaged children. The bulk of empirical research supports this view, but existing studies compare outcomes across students placed in different tracks. Track placement is likely to be endogenous with respect to student outcomes. We use a new strategy for overcoming the endogeneity of track placement and find no evidence that tracking hurts low-ability children. Previous studies have also been based on the assumption that students' enrollment decisions are unrelated to whether or not the school tracks. When we account for the possibility that tracking programs affect school choice, we find evidence that they may help low-ability children.     

Elicitation using multiple price list formats

We examine the properties of a popular method for eliciting choices and values from experimental subjects, the multiple price list format. The main advantage of this format is that it is relatively transparent to subjects and provides simple incentives for truthful revelation. The main disadvantages are that it only elicits interval responses, and could be susceptible to framing effects. We consider extensions to address and evaluate these concerns. We conclude that although there are framing effects, they can be controlled for with a design that allows for them. We also find that the elicitation of risk attitudes is sensitive to procedures, subject pools, and the format of the multiple price list table, but that the qualitative findings that participants are generally risk averse is robust. The elicitation of discount rates appear less sensitive to details of the experimental design. Electronic Supplementary Material Supplementary material is available in the online version of this article at . JEL Classification C9, D81, D91 An erratum to this article is available at .     

Symmetry and order in the portfolio allocation problem

Summary. This research studies the role of multivariate distribution structures on random asset returns in determining the optimal allocation vector for an expected utility maximizer. All our conclusions pertain for the set of risk averters. By carefully disturbing symmetry in the distribution of the, possibly covarying, returns, we ascertain the ordinal structure of the optimized allocation vector. Rank order of allocations is also established when a permutation symmetric random vector is mapped into the returns vector through location and scale shifts. It is shown that increased dispersion in the vectors of location and scale parameters benefit, ex-ante, investors as does a decrease in the rank correlation coefficient between the location and scale parameter vectors. Revealed preference comparative static results are identified for the location and scale vectors of asset returns. For most issues addressed, we arrive at much stronger inferences when a safe asset is available. Received: August 8, 2000; revised version: January 8, 2001     

Combining information for prediction in linear regression

This article deals with the prediction problem in linear regression where the measurements are obtained using k different devices or collected from k different independent sources. For the case of k=2, a Graybill-Deal type combined estimtor for the regression parameters is shown to dominate the individual least squares estimators under the covariance criterion. Two predictors ŷ _c and ŷ _p are proposed. ŷ _c is based on a combined estimator of the regression coefficient vector, and ŷ _p is obtained by combining the individual predictors from different models. Prediction mean square errors of both predictors are derived. It is shown that the predictor ŷ _p is better than the individual predictors for k≥2 and the predictor ŷ _c is better than the individual predictors for k=2. Numerical comparison between ŷ _c and ŷ _p shows that the former is superior to the latter for the case k=2.     

Measuring Market Orientation: Exploring a Market Oriented Approach

This paper demonstrates that applications of existing approaches to measuring market orientation are myopic, non-comparative and over-reliant on the views of single respondents. Consequently, a multi-perspective, multi-informant approach for measuring market orientation is generated which focuses on gauging customers', competitors' and intra-organizational members' perceptions of the market orientation of an organization. To evaluate the psychometric properties of this approach an application of this design in a survey of manufacturing industry is subjected to tests for inter-rater reliability, scale reliability, content validity, criterion-related validity and construct validity. The conclusion of this evaluation is that the developed measure is both a reliable and valid means of gauging market orientation. The paper concludes with a series of implications for both theorists and practitioners.     

The Determinants of Stock Option Compensation: Evidence from Finland

A new, long, and rich panel data set consisting of all Finnish publicly traded firms is used to study how firm characteristics and stock market developments influence the adoption and targeting of stock option compensation. Stock option adoption is found to be a procyclical phenomenon. Findings from firm‐level econometric analysis often corroborate those based on U.S. data, but important differences also emerge. Findings include: (i) firms with higher market value per employee are more likely to use stock option compensation; (ii) share returns from the past year affect the adoption of targeted stock options, but not broad‐based plans; (iii) our results are consistent with the hypothesis that selective and broad‐based plans arise as solutions to differing monitoring difficulties. Broad‐based schemes are observed when production is human capital‐intensive and employee performance is hard to monitor, while selective schemes are adopted when ownership is dispersed and therefore owners may have weak incentives to monitor management.     

Look sharp,feel sharp,be sharp and listen — anecdotal excellence: People,places and things

While the techniques become more sophisticated, the hardware and software go through new generations and we move towards such unexplored options as internet fundraising and legal restraints, the challenges and successes in the field of fundraising and in the personality of fundraisers should not change very much: they are faced with the assignment of making the donors feel important, the causes seem attractive, and making the system move with ease and comfort for everyone concerned. The author gives strong credence to such ‘simple’ matters as appearance, health, ethics, virtue and giving attention to words as well as innuendo. The reader will learn if he or she ‘listens’ to the message of this paper; if, on the other hand, he or she is looking for a shortcut or a foolproof plan short of living and loving in the field, it will not be found — in this or any other paper. Fundraising is a synergestic system: you put everything you know together, and it comes out to equal more than the sum of its parts. Still, you keep on learning. The best fundraiser has not yet been born; the most successful campaign has not yet begun; the wisdom is still being assembled. This paper is one man's overview of where we have been, what we are doing in best practice scenarios, and what is possible if we ‘Look sharp, feel sharp, be sharp and listen’; it includes a good overview of ‘Anecdotal excellence: people, places and things’. The paper starts with a word from God and ends with a reminder for us all: ‘We must remember — to look forward!’ Copyright © 2002 Henry Stewart Publications     

Analysis of Beef Producers' Risk Management Perceptions and Desire for Further Risk Management Education

Beef cattle producers were surveyed in Texas and Nebraska to investigate perceptions of sources of risk, the effectiveness of risk management strategies, and interest in further risk management education, particularly production risk, using probit analysis. Important decision variables identified are age, prior use of risk management tools, previous attendances of risk management education, and risk aversion. Severe drought and cattle price variability are identified as primary risk factors with potential to affect farm income. Extremely cold weather and disease are of less importance. Understocking pasture and storing hay are perceived most effective as risk management options.