Grocery Store Attributes in Recovering Economies: An Empirical Investigation of Their Importance,Using Three-Component Contour Plotting

The authors share results of a study conducted to measure the attributes of grocery stores that are the most important for consumers in a market recovering from war and transitioning to a market economy. Applying a trilinear coordinate plot, the authors develop a model that consists of those attributes. The findings led to conclusions that services and location, rather than the historically favored attribute of price, increasingly are key factors affecting store choice. Managerial implications are discussed and future research directions are suggested.     

Consumer views of self-service technologies

This study examined how customers perceived and classified a set of 12 self-service technologies (SSTs) based on multidimensional scaling. The authors describe first, how the classifications developed by Lovelock are perceived by consumers and then, how the individual SSTs map onto those classifications. Results of the study show that 67% of the variance in classification is explained by two dimensions of customization/standardization and separability/inseparability. The authors also propose a typology for the SSTs based on their groupings in the classification framework. The authors discuss the managerial implications of the findings and suggest directions for future academic research.     

The effect of government highway spending on road users' congestion costs

Policymakers attempt to reduce the growth of congestion by spending billions of dollars annually on our road system. We evaluate this policy by estimating the determinants of congestion costs for motorists, trucking operations, and shipping firms. We find that, on average, one dollar of highway spending in a given year reduces the congestion costs to road users only eleven cents in that year. We also find that even if the allocation of spending were optimized to minimize congestion costs that it still is not a cost-effective way to reduce congestion. We conclude the evidence strengthens the case for road pricing.     

NAFTA and North American stock market linkages: an empirical note

This paper provides tests of the co-movement of the North American stock markets. We find over the post-US stock market crash period, 1987:11 through 1997:03, there is no cointegration present in these markets even when the passage of NAFTA is taken into account. The absence of cointegration allows us to draw several conclusions. First, the stock markets of North America are segmented. Second, the passage of NAFTA has not resulted in a greater integration of these stock markets. Finally, the data do not support the notion of a contagion effect from the 1987 U.S. stock market crash. In conclusion, the potential for long-run international diversification across the markets of North America still exists.     

Inconsistency in Welfare Inferences from Distance Variables in Hedonic Regressions

In hedonic analysis, a common approach for eliciting information regarding the welfare significance of some landmark or (dis)amenity is to control for its distance from each observation. Unfortunately, the effects of distances to amenities on housing prices are generally not consistent indicators of the true price impact of that amenity. Instead these variables serve as proxies for the relative position of every observation in space. Whenever a household considers more than two landmarks in a housing purchase, distance variable parameter estimates are simply the best linear fitted weights for that multiple criteria location decision. Simulations illustrate extreme sensitivity in parameter estimates to the researcher’s choice of landmarks. One strategy models the location of each observation directly instead of its distances to amenities. Using the quadratic controls of longitude and latitude controls for location effects on price to assure unbiased estimates of non-distance variable regressors.     

Global nanotechnology research literature overview

Text mining was used to extract technical intelligence from the open source global nanotechnology and nanoscience research literature (SCI/SSCI databases). Identified were: (1) the nanotechnology/nanoscience research literature infrastructure (prolific authors, key journals/institutions/countries, most cited authors/journals/documents); (2) the technical structure (pervasive technical thrusts and their inter-relationships); (3) nanotechnology instruments and their relationships; (4) potential nanotechnology applications, (5) potential health impacts and applications; and (6) seminal nanotechnology literature. Our results are summarized in this paper.     

Asymptotics for duration-driven long range dependent processes

We consider processes with second order long range dependence resulting from heavy tailed durations. We refer to this phenomenon as duration-driven long range dependence (DDLRD), as opposed to the more widely studied linear long range dependence based on fractional differencing of an i.i.d. process. We consider in detail two specific processes having DDLRD, originally presented in Taqqu and Levy [1986. Using renewal processes to generate long-range dependence and high variability. Dependence in Probability and Statistics. Birkhauser, Boston, pp. 73–89], and Parke [1999. What is fractional integration? Review of Economics and Statistics 81, 632–638]. For these processes, we obtain the limiting distribution of suitably standardized discrete Fourier transforms (DFTs) and sample autocovariances. At low frequencies, the standardized DFTs converge to a stable law, as do the standardized sample autocovariances at fixed lags. Finite collections of standardized sample autocovariances at a fixed set of lags converge to a degenerate distribution. The standardized DFTs at high frequencies converge to a Gaussian law. Our asymptotic results are strikingly similar for the two DDLRD processes studied. We calibrate our asymptotic results with a simulation study which also investigates the properties of the semiparametric log periodogram regression estimator of the memory parameter.     

Measuring physical access to ‘healthy foods’ in areas of social deprivation: a case study in Cardiff

This paper examines some characteristics of ‘food deserts’– areas of social deprivation which have poor physical access to food shopping – in a large British city, Cardiff. The stereotype of the ‘food desert’ is critically examined, emphasizing the importance attached by residents of such areas to easy access to food shopping, especially in multiple supermarkets. The case study of Cardiff briefly discusses the identification of potential ‘food deserts’, and then examines the structures of ‘healthy food’ availability and prices in four areas of the city (two in the inner city, two in the outer city) where physical access to large multiple supermarkets is poor. The analysis shows that the local shops in these areas cannot compete generally with large supermarkets on either availability of items or their prices, but that the local shops in the inner city areas are rather more competitive than those in the outer areas. Implications for research and policy formulation are finally discussed.