DS-optimal designs in one way ANOVA

Characterization and construction of optimal designs using the familiar optimality criteria, for example A-, D- and E-optimality are well studied in the literature. However the study of the Distance Optimality (DS-) criterion introduced by Sinha (1970) has very recently drawn attention of researchers. In the present article, we consider the singularly estimable full rank problem of estimating the full set of elementary treatment contrasts using the DS optimality criterion in the set up of a one way ANOVA model. Using a limit argument it turns out that a CRD in which difference between any two allocation numbers is at the most unity is uniquely DS-optimal. Acknowledgement. We are thankful to Prof. B. K. Sinha for suggesting the problem to us and many helpful discussions with him. We are also thankful to the referees for drawing our attention to the reference of Bischoff (1995) and many helpful comments.     

Budget deficits and real interest rates: Updated empirical evidence on causality

Using error-correction model (ECM) estimation, the paper empirically examines the causality relationship between the federal government budget deficit and the ex ante real interest rate yield on high grade long term tax free municipal bonds in the U.S. To clarify this deficit or interest rate relationship, the budget deficit is measured by the primary budget deficit, which excludes net interest payments by the Treasury. In a model that includes federal personal income tax rates and net international capital flows, as well as money supply growth, the ECM estimates strongly suggest a bi-directional relationship between the primary budget deficit and the ex ante real interest rate yield. Budget deficits apparently do matter! William Simon's concerns were justified.The author is indebted to P. A. V. B. Swamy for ideas and helpful suggestions and Will Perry for data assembly and processing.     

Consumer socialization,social structural factors and decision‐making styles: a case study of adolescents in Malaysia

The purpose of this study is to investigate how the process of consumer socialization will determine adolescents’ decision‐making styles. Eight decision‐making styles were conceptualized as outcomes of the socialization process, which is acquired via interaction with socialization agents, namely parents, peers, printed media, television commercials and in‐school education. The study also proposed five social structural variables (social class, gender, ethnicity, residence and religion) as being associated with the socialization agents and decision‐making styles. The study sample consisted of 934 adolescents between the ages of 16 and 19 years. The data were collected using a self‐administered questionnaire and analysed with the SPSS computer program. As a result of regression analyses, significant relationships were found between social structural factors and socialization processes, suggesting that the influence of socialization agents on adolescents may vary according to certain demographic characteristics. Significant relationships were also found between social structural factors and socialization processes. Peers appeared to be the most important agents of consumer socialization, contributing to a variety of desirable as well as undesirable consumer decision styles. Printed media and television commercials were also found to be significant sources of the acquisition of both desirable and undesirable decision‐making styles. Parents and in‐school education, however, were insignificant in the acquisition of any decision‐making styles among adolescents. Information obtained from this study could be useful to government agencies and consumer educators. The most revealing finding of this study is that parents did not contribute to the formulation of decision‐making orientation for adolescents. This points to the need for consumer educators to take steps in designing programmes that will involve parents as primary socialization agents at home; this may be facilitated via printed materials. Apart from this, the information can also be helpful in enabling marketers to be more effective in targeting various adolescent markets by formulating marketing strategies according to demographic factors, socialization process and decision‐making styles.