A causal analysis of environment-reward-satisfaction linkages for the sales representative

A causal model that postulated linkages of organizational environmental variables, reward variables, and satisfaction for sales representatives was investigated. Findings indicated that the usual assumptions concerning an organization's inability to contribution to intrinsic rewards may not hold.     

Estimating the covariance matrix for regression models with ar(1) errors and lagged dependent variables

We propose a simple procedure, based on an artificial linear regression, for consistently estimating the covariance matrix of the parameter estimates for linear regression models with serially correlated errors and lagged dependent variables.     

Shape up or ship out? Employment discrimination against the overweight

Increasing health care insurance costs have focused employer attention on health-related factors in employee recruitment and retention. One such factor is weight. Employers have argued that overweight employees are absent more often, are more susceptible to on-the-job injuries and illnesses, and are less productive than others. They have also contended that overweight employees present poor role models and may cause “negative reactions” by others. Although no federal law addresses employee obesity specifically, a number of laws prohibiting other forms of discrimination present potentially litigious situations. This article reviews the background and legal framework of discrimination against the overweight and offers some guidelines for avoiding such charges.     

Rates of Return on Art Objects, the Fisher Hypothesis, and Inflationary Expectations

After surveying the evolution of the major methodologies in inflation hedging, this study presents a unique methodology that uses principal component factor analysis to separate the effects of variability in the real rate of return from the nominal rate of return. This approach allows the effects of both anticipated and unanticipated inflation on rates of return to be estimated more precisely. This study finds that art objects perform well in terms of average real rates of return and that the market, though not perfect, integrates anticipated inflation into the rates of return. However, unanticipated inflation is very often negatively related to the rates of return.     

Institutional investors, antitakeover defenses and success of hostile takeover bids

In this study we investigate the question of whether institutional investors enhance or reduce efficiency in the market for corporate control. In particular, given unequivocal evidence that target stockholders gain in successful takeover bids, we investigate the impact of institutional ownership in target firms on the adoption of the type of antitakeover defense as well as the outcome of takeover bids. We find that target firms are more likely to adopt value-reducing antitakeover defenses and successfully thwart takeover bids when a higher percentage of target common stock is owned by ‘pressure-indeterminate’ investors (investment counsel firms in particular). On the other hand, the probability of a successful takeover rises with the ownership of both ‘pressure-sensitive’ and ‘pressure-resistant’ investors. The above findings support the view that institutional investors do not play a homogeneous role in the market for corporate control.     

ACCOUNTABILITY AND GOVERNMENTAL FINANCIAL REPORTING

Accountability is the cornerstone of Governmental Generally Accepted Accounting Principles (GGAAP) in the United States according to the Governmental Accounting Standards Board (GASB). This paper analyzes the implications of alternative definitions of the concept of accountability for GGAAP and for GASB. It also discusses the costs and benefits of accountability information, the effect of diverse users of governmental reports, and alternative mechanisms for achieving accountability in governments. Finally, a governmental accounting research agenda based on accountability is proposed for the future.     

Money growth and interest rate volatility and the demand for money

In this paper the author empirically examines the effects of both money growth and interest rate volatility measures upon the demand for real balances. The findings of this study suggest that both money growth and interest rate volatility measures are statistically insignificant. However, evidence suggests a structural shift in the demand for money in the post-1979 period. Moreover, there is a noticeable change in the speed of adjustment moving from actual to desired real balances with the adjustment coefficient in the post-1979 period increasing roughly in magnitude nine and half, times the adjustment coefficient in the pre-1979 period.     

Seasonal Patterns and Regional Preferences in Japanese Household Demand for Seafood

This study addresses the little analyzed Japanese consumer demand for seafood. A demand system approach is used to analyze demand for a group of seafood products that make up the representative household's total expenditures on seafood for at-home consumption. The linear approximate Almost Ideal Demand System (U/AIDS) is applied to monthly data from 1980 through 1989 on the demand for seafood for three representative households: the average Japanese household, northern Japanese household, and southern Japanese household. Estimation results highlight effects of seasonality on demand for various seafood products; how seasonality effects defer by region; and differences in demand elasticities for seafood products both during the marketing year and across regions. Results from the analysis of the nationally representative household are contrasted with results from regionally representative house-holds to determine implications of viewing Japan as a single, homogeneous market.     

Artificial Neural Networks Applied to Ratio Analysis in the Analytical Review Process

Experts claim that artificial neural network (ANN) technology can outperform standard statistical methods when applied to examine actual financial data. Researchers have used ANNs to analyze bankruptcy prediction, bond rating and the going-concern problem. Financial firms have employed ANNs commercially to predict commercial bank failures, detect credit card fraud and verify signatures. For accounting and auditing problems, however, application of ANN technology has been limited. Preliminary experiments tested whether an ANN offered improved performance in recognizing material misstatements during the analytical review process of auditing. Four years of audited financial data from a medium-sized distributor were input as data streams to calibrate the ANN across fifteen financial accounts. Researchers compared a presumed lack of actual errors and certain seeded material errors with signals from the ANN analytical review process to evaluate performance. Results were compared to analyses where financial ratios and regression methods were employed as analytical review techniques. Results tentatively suggest that the ANN method recognized patterns within financial accounts more effectively than did financial ratio and regression methods. ANNs applied as a forecasting tool seem useful for identifying patterns that can indicate potential investigations of a firm's unaudited financial data in the current year.