Financial knowledge among Iranian investors

This research is the first to describe financial knowledge in the Islamic Republic of Iran. Data were collected from a convenience sample of investors in the Tehran Stock Exchange. The data were used to examine objective and subjective knowledge as well as overconfidence in one's financial knowledge. The results indicated that compared with other populations, Iranians did not perform well on either basic or advanced financial knowledge questions, especially when the questions dealt with interest rates. This is likely related to the Islamic law ban on usury‐based investing. Regression analysis indicated that demographic charactristics related to basic financial knowledge were income, labour force status and being a student. Demographic characteristics related to advanced financial knowledge were education, labour force status and age. Higher income and education reduced the odds of being overconfident about one's financial knowledge, while being a student and male increased the odds. The article concludes with recommendations about future research as well as building a national financial education strategy.     

Multi-level and mixed-level <Emphasis Type="Italic">k</Emphasis>-circulant supersaturated designs

Supersaturated designs (SSDs) constitute an important class of fractional factorial designs that could be extremely useful in factor screening experiments. Most of the existing studies have focused on balanced designs. This paper provides a new lower bound for the \(E(f_{NOD})\)-optimality measure of SSDs with general run sizes. This bound is a generalization of existing bounds since it is applicable to both balanced and unbalanced designs. Optimal multi and mixed-level, balanced and nearly balanced SSDs are constructed by applying a k-circulant type methodology. Necessary and sufficient conditions are introduced for the generator vectors, in order to pre-ensure the optimality of the constructed k-circulant SSDs. The provided lower bounds were used to measure the efficiency of the generated designs. The presented methodology leads to a number of new families of improved SSDs, providing tools for directly constructing optimal or nearly-optimal k-circulant designs by just checking the corresponding generator vector.     

Sibling gender and wage differences

Family influences on economic performance are investigated. In particular, sibship sex composition is related to hourly wages using data from the National Longitudinal Survey of Youth 1979. The wages of men are increasing in the proportion of siblings who are brothers, but the wages of women are insensitive to sibling gender. Nonwage outcomes are generally unaffected. Contrasts by age structure and demographic group are also presented. The analysis addresses econometric challenges like the endogeneity of fertility and selection into the workforce. In addition, mechanisms such as labour market interactions, human capital investment and role model effects are documented. A questionnaire on job search indicates a same-gender bias in the use of brothers and sisters in obtaining employment. Developmental and psychological assessments suggest that brothers may be associated with worse childhood home environments and more traditional family attitudes among women. The findings are policy relevant and contribute to an understanding of gender differences and earnings inequality.     

B2B relationship calculus: quantifying resource effects in service-dominant logic

Increasingly, knowledgeable business-to-business (B2B) customers and evolving customer needs are leading to seismic shifts in vendor–client interactions. Across industries, sellers are changing their business models from a simple goods orientation to a hybrid goods–services model, placing greater emphasis on delivering complete customer solutions. In such an environment, companies must find ways to prioritize investments in resource development. The service-dominant (S-D) logic framework offers significant insights into this challenge; however, these effects have not been tested quantitatively. This study addresses that gap, examining the influence of various seller resources on buyer satisfaction. An empirical analysis of buying organizations that purchased and implemented business intelligence systems finds that “augmented” operant resources that the buyers ascribe to the software’s sellers—resources that go above and beyond expectations—are the most significant predictors of both successful technology assimilation and overall customer relationship quality. In particular, an augmented operant resource reflecting a seller’s ability to see value creation opportunities from the buyer’s perspective (value mindset) has up to three times the effect on relationship satisfaction as “core” operant resources such as product-specific expertise or basic interpersonal service skills. These results can help sellers prioritize resource investments.     

Optimality results on orthogonal arrays plus <Emphasis Type="Italic">p</Emphasis> runs for <Emphasis Type="Italic">s</Emphasis><Superscript><Emphasis Type="Italic">m</Emphasis></Superscript> factorial experiments

The optimality of designs obtained by adding p runs to an orthogonal array is studied for experiments involving m factors each at s levels. The optimality criterion used here, is the Type 1 criterion due to Cheng (1978) which is an extension of Kiefer (1975) universal optimality criterion. Unlike what happens with orthogonal array plus one run designs, the behavior of designs obtained via augmentation of an orthogonal array by p runs depends on the particular runs added.     

两位诗人及死亡

<正>追悼会1894年4月8日,般吉姆·钱德拉·恰托帕德亚(Bankim Chandra Chattopadhyay),十九世纪孟加拉邦最著名的大文学家去世。他去世后三周,切塔尼亚图书馆和比顿广场图书馆俱乐部在繁星剧场(Star Theatre)组织了一场追悼会1     

Bayesian U-type design for nonparametric response surface prediction

This paper deals with Bayesian design over U-type designs of n runs and s factors with q levels for nonparametric response surface prediction. The criterion is developed in terms of the asymptotic approach of Mitchell et al. (Ann Statist 22: 634–651, 1994) for a specific covariance kernel. An optimal design is given in approximate design theory over the all level combinations. A connection with orthogonality and aberration is established. A lower bound for the criterion is provided, and numerical results show that this lower bound is tight.     

Dealing with consumer default: Bankruptcy vs garnishment

What are the positive and normative implications of eliminating bankruptcy protection for indebted individuals? Without bankruptcy protection, creditors can collect on defaulted debt to the extent permitted by wage garnishment laws. The elimination lowers the default premium on unsecured debt and permits low-net-worth individuals suffering bad earnings shocks to smooth consumption by borrowing. There is a large increase in consumer debt financed essentially by super-wealthy individuals, a modest drop in capital per worker, and a higher frequency of consumer default. Average welfare rises by 1% of consumption in perpetuity, with about 90% of households favoring the change.     

Patent Protection and R&D Incentives Under Incomplete Information

When tournament effect is negative, under complete information, whether patent protection increases the incentive for R&D is ambiguous. It depends on the extent of spillover of the new technology. In particular if that amount is less than a threshold value then patent protection increases the incentive for R&D, otherwise it does not. This note considers incomplete information framework where the spillover parameter is private information. In this framework it is shown that there are situations where patent protection unambiguously increases incentive for R&D. This happens if the distribution function of the spillover parameter is sufficiently skewed and the cost of doing research is sufficiently high even when tournament effect is negative.