Polynomial approximations in cross-sectional models

The time-series distributed lag techniques of econometrics can be usefully applied to cross-sectional, spatial and cross-section time-series situations. The application is perfectly natural in cross-section, time-series models when regression coefficients evolve systematically as the cross-section grouping variable changes. The evolution of such coefficients lends itself to polynomial approximation or more general smoothing restrictions. These ideas are not new, Gersovitz and McKinnon (1978) and Trivedi and Lee (1981) providing two of the earliest applications of cross-equation smoothing techniques. However, their applications were in the context of coefficient variation due to seasonal changes and this may account for the non-diffusion of these techniques. The approach here is illustrated in the context of age-specific household formation equations based on census data, using Almon polynomials when the regression coefficients vary systematically by age group. A second application is provided, using spatial data, explaining the incidence of crime, by region; using polynomial and geometric smoothing to model distance declining regional effects.     

The α-stable processes and their relationship with the exponent of self-similarity: Exchange rates of USA Dollar,Canadian Dollar,Euro and Yen

This research work analyzes the yields of the exchange rate parities of the American dollar, Canadian dollar, Euro, and Yen; estimates the basic statistics and the α-stables; carries out the Kolmogorov–Smirnov, Anderson–Darling, and Lilliefors goodness of fit tests; estimates the self-similar exponents and carries out the t and F tests, ruling out that the series of parities are multifractal. It also estimates the confidence intervals of the exchange rate parities and concludes that the estimated α-stable distributions are more efficient than the Gaussian distribution to quantify the risks of the market, and that the series are self-similar. Through the ? index, we can infer the risk of the events, indicating that the parities are anti-persistent and thus have short-term memory, mean reversion, and a negative correlation with the high risk in the short and medium term. The estimation and validation of the α-stable distributions and the self-similar exponent are important in the evaluation and creation of innovative investment instruments through financial engineering, risk administration, and the evaluation of derived products.     

Best–Worst Scaling Approach to Predict Customer Choice for 3PL Services

This study describes a simple, theoretically based methodology to analyze the nature of customer demand for third‐party logistics provider service components. The method overcomes limitations in prior studies and enables us to examine the relative importance of product and service attributes as they pertain to the choice of third‐party logistics providers. Two distinct types of customers populate our data: those professing operational attributes and those seeking relational attributes. The theoretical and practical implications are that improved supply chain models can be developed when separate demand structures are taken into account.     

Loyalty programs and their impact on repeat-purchase loyalty patterns

Loyalty programs are currently increasing in popularity around the world. This paper discusses the potential of loyalty programs to alter the normal market patterns of repeat-purchase behaviour which characterise competitive repeat-purchase markets. In line with this thinking, a large scale loyalty program is evaluated in terms of its ability to change normal repeat-purchase patterns by generating ‘excess loyalty’ for brands in the program. Panel data were used to develop Dirichlet estimates of expected repeat-purchase loyalty statistics by brand. These estimates were compared with the observed market repeat-purchase behaviour. Overall a trend towards a weak level of excess loyalty was observed, although the expected deviation was not consistently observed for all the loyalty program brands. Only two of the six loyalty program participant brands showed substantial excess loyalty deviations. However, these deviations in repeat-purchase loyalty were observed for non-members of the loyalty program as well as members and appear likely to be at least partially the result of other loyalty efforts particular to these brands.     

Exploring the Ethical Dimension of Hawala

The aim of this paper is to explore the ethical dimension of hawala, an ancient informal financial practice rooted in Islamic moral traditions. Widely used in countries with an Islamic background and their diasporas, hawala is considered an important vehicle for the financial and economic development of some less developed countries. Nevertheless, in Western countries, hawala is regarded with suspicion due its controversial ethical nature. Unlike other Islamic financial institutions, the controversial questions are not the legitimacy of profit sources or the interest charged, but rather the lack of transparency that surrounds hawala transactions. Yet, the literature on hawala has neglected its ethical perspective. Our study delves into this dimension with a critical approach, using the Triple Font Theory, grounded on virtue ethics. We conclude that if hawala transactions are carried out with honesty, and fairness, this practice deserves a positive ethical appraisal. However, it is necessary to implement efficient regulatory measures to guarantee that the system is not abused by money launders and criminals. In practice, it becomes imperative to bring over a change in the regulatory approach to hawala toward a more ethically, culturally, and economically sensitive strategy. Thus, future research should focus on how “hyper-norms” or fundamental principles inherent to humanity, which are common to both “formal” and “informal,” “Western” and “non-Western” financial practices, could run the new AML/CTF regulation agenda.