Accounting for organizational misconduct

Organizational misconduct (white collar, corporate and occupational crime, unethical behavior, rule violations, etc.) is an increasingly important social concern. This paper proposes that a necessary step toward preventing and treating such misconduct is the understanding of the explanations, called accounts, given by the actor. We argue that the theorizing and findings in the literature on accounts can be organized into a 2×2 matrix framework. The first dimension centers on whether or not the actor admits that some net harm is done by the act, and the second consists of whether or not the actor admits responsibility. When both are admitted (cell 1), the account is a concession, while denial of both constitutes a refusal (cell 4). Admitting responsibility but not harm equates to a justification (cell 2), and the opposite condition is an excuse (cell 3). Building on this matrix, we specify a typology of explanations within each cell which will highlight inter-cell differences. Finally, we explore the implications of this analysis for managers, regulators, and the public.Eugene Szwajkowski has taught in the Department of Management of the University of Illinois at Chicago since 1978, and as a visiting professor at the University of Illinois at Urbana-Champaign and at the University of Notre Dame. For the past fifteen years, Dr. Szwajkowski has been engaged in research on various aspects of illegal and unethical behavior within and on behalf of organizations. His research has investigated such practices as price-fixing and anti-competitive acquisitions, employee theft and sabotage, sex and race discrimination, and deceptive advertising.The author gratefully acknowledges the generous contributions of Drs. Laurie Larwood and Darold Barnum, and of two anonymous reviewers for their helpful comments on earlier versions of this paper.     

Skewed Normal Variance-Mean Models for Asset Pricing and the Method of Moments

Financial returns (log-increments) data, Y _t , t = 1,2,…, are treated as a stationary process, with the common distribution at each time point being not necessarily symmetric.
We consider as possible models for the common distribution four instances of the General Normal Variance-Mean Model (GNVM), which is described by Y | V ∼ N ( a ( b + V ), c ²V + d² ) where V is a nonnegative random variable and a, b, c and d are constants. When V is Gamma distributed and d = 0, Y has the skewed Variance-Gamma distribution (VG). When V follows a Half Normal distribution and c = 0, Y has the well-known Skew Normal (SN) distribution. We also consider two cases where V is Exponentially distributed. Bounds for skewness and kurtosis in each case are found in terms of the moments of the V . These are useful in determining whether the Method of Moments for a given model is feasible. The problem of overdetermination of parameters via estimating equations is examined. 5 data sets of actual returns data, chosen because of their earlier occurrence in the literature, are analysed using each of the 4 models.     

Factor or Industry Cleavages in Trade Policy? An Empirical Analysis of the Stolper–Samuelson Theorem

If factors of production are mobile between industries, the Stolper–Samuelson Theorem predicts that cleavages over trade policy will form along factor lines. Conversely, if factors are immobile, cleavages will form along industry lines. These two hypotheses are empirically examined using micro-data from a survey conducted during the 1988 Canadian federal election—a de facto referendum on free trade. Factors of production are found to be important determinants of preferences on trade policy. However, the industry of employment also helps determine preferences on trade policy. These results are consistent with partial factor mobility.     

The Structured Interview: Reducing Biases Toward Job Applicants with Physical Disabilities

Research shows that the traditional job interview is a poor indication of a candidate's potential. However, when employers structure the interview process, they are more effective at predicting success, forming consistent evaluations, and reducing discrimination. The current study tested whether the structured interview also serves to reduce biases involved in interviewing applicants who have a physical disability. In the non-structured interview, results showed that there was a leniency bias, where raters evaluated disabled candidates more positively than equally qualified non-disabled candidates. Structured interviews reduced this effect. These findings add to the support for the structured interview as a way of increasing fairness in employee selection.     

Forward rates as predictors of future spot rates

When adjusted for variation through time in expected premiums, the forward rates of interest that are implicit in Treasury Bill prices contain assessments of expected future spot rates of interest that are about as good as those that can be obtained from the information in past spot rates. Moreover, in setting bill prices and forward rates, the market reacts appropriately to the negative autocorrelation in monthly changes in the spot rate and to changes through time in the degree of this autocorrelation. This evidence is consistent with the market efficiency proposition that in setting bill prices, the market correctly uses the information in past spot rates.