The Impact of the Euro Changeover on Between-Currency Conversions

The present paper reviews available data about between-currency conversion strategies. Specifically, it compares conversion-strategy repertoires and execution before the euro changeover and 5.5 years thereafter. The data illuminate what between-currency conversion strategies people use, how they execute and select among them, why some strategies are favoured over other strategies, how long after the euro changeover people need to do conversions. These findings have important consequences for understanding how consumer behaviour may be facilitated by improving between-currency conversions, a key component for a successful currency changeover. This work was supported by grant from the Agence Nationale de la Recherche (Grant # 06-2-235061).     

Gambling on Lotto Numbers: Testing for Substitutability or Complementarity Using Semi-weekly Turnover Data

The impact on the demand for a gambling product of the introduction of a competing product is a topical issue in Britain, Ireland and elsewhere. We consider empirically the demand for Lotto itself and for fixed-odds betting on the Lotto draw. The evidence suggests that these products are complements. Problems are posed by the need to rely on turnover data instead of price and quantity data in testing for substitutability or complementarity and by the semi-weekly nature of Lotto draws, which raises the possibility of a `seasonal' unit root in the turnover time series.     

AN ANALYSIS OF THE AUTO CHOICE REFORM ACT OF 1997

Abstract: The authors examine the nuances involved in no-fault coverage. They focus their examination on the concept of "choice," providing a perspective on both coverage and constitutional questions.     

Minimum Distance Estimation and Testing of DSGE Models from Structural VARs*

The aim of this paper is to complement the minimum distance estimation–structural vector autoregression approach when the weighting matrix is not optimal. In empirical studies, this choice is motivated by stochastic singularity or collinearity problems associated with the covariance matrix of impulse response functions. Consequently, the asymptotic distribution cannot be used to test the economic model's fit. To circumvent this difficulty, we propose a simple simulation method to construct critical values for the test statistics. An empirical application with US data illustrates the proposed method.     

Spatial Yield Risk Across Region, Crop and Aggregation Method

A researcher interested in crop yield risk analysis often has to contend with a lack of field- or farm-level data. While spatially aggregated yield data are often readily available from various agencies, aggregation distortions for farm-level analysis may exist. This paper addresses how much aggregation distortion might be expected and whether findings are robust across wheat, canola and flax grown in two central Canadian production regions, differing mainly by rainfall, frost-free growing days and soil type. Using Manitoba Crop Insurance Corporation data from 1980 to 1990, this research, regardless of crop or region analyzed, indicates that (i) spatial patterns in risk are absent; (ii) use of aggregate data overwhelmingly under-estimates field-level yield risk; and (iii) use of a relative risk measure compared to an absolute risk measure leads to slightly less aggregation distortion. Analysts interested in conducting farm-level analysis using aggregate data are offered a range of adjustment factors to adjust for potential bias.     

Customer experience quality: an exploration in business and consumer contexts using repertory grid technique

This study proposes a conceptual model for customer experience quality and its impact on customer relationship outcomes. Customer experience is conceptualized as the customer’s subjective response to the holistic direct and indirect encounter with the firm, and customer experience quality as its perceived excellence or superiority. Using the repertory grid technique in 40 interviews in B2B and B2C contexts, the authors find that customer experience quality is judged with respect to its contribution to value-in-use, and hence propose that value-in-use mediates between experience quality and relationship outcomes. Experience quality includes evaluations not just of the firm’s products and services but also of peer-to-peer and complementary supplier encounters. In assessing experience quality in B2B contexts, customers place a greater emphasis on firm practices that focus on understanding and delivering value-in-use than is generally the case in B2C contexts. Implications for practitioners’ customer insight processes and future research directions are suggested.     

An Evaluation Instrument for Collaborative Processes: Application to Organizational Policy-Making

Decision-making in organizations is guided by policies. Organizational policy-making is a complex process in which several parties are involved, with multiple backgrounds, incompatible interests, and diverging areas of interest, yet they all have to be brought together to produce an acceptable policy result. Therefore, we propose to use techniques from collaboration engineering (CE) in this context. There is hardly any experience with CE in the field of organizational policy-making. In order to evaluate the effectiveness and efficiency of CE in organizational policy-making, it is important to have a systematic evaluation instrument. We distinguish between general and domain-specific indicators. Moreover, we consider measurement means and operationalization tools, such that organizational policy-making stakeholders can apply our instrument in their own organization.     

Index tracking with utility enhanced weighting

Passive index investing involves investing in a fund that replicates a market index. Enhanced indexation uses the returns of an index as a reference point and aims at outperforming this index. The motivation behind enhanced indexing is that the indices and portfolios available to academics and practitioners for asset pricing and benchmarking are generally inefficient and, thus, susceptible to enhancement. In this paper we propose a novel technique based on the concept of cumulative utility area ratios and the Analytic Hierarchy Process (AHP) to construct enhanced indices from the DJIA and S&P500. Four main conclusions are forthcoming. First, the technique, called the utility enhanced tracking technique (UETT), is computationally parsimonious and applicable for all return distributions. Second, if desired, cardinality constraints are simple and computationally parsimonious. Third, the technique requires only infrequent rebalancing, monthly at the most. Finally, the UETT portfolios generate consistently higher out-of-sample utility profiles and after-cost returns for the fully enhanced portfolios as well as for the enhanced portfolios adjusted for cardinality constraints. These results are robust to varying market conditions and a range of utility functions.     

The Americanisation of the European business system?

This article examines the impact of contemporary business practices within the American business system on established patterns of industrial relations (IR) management in European subsidiaries of US multinationals, specifically how established firm‐level settlements for the management of IR may or may not combine with host‐country effects to constrain such innovations. The empirical material leads us to evaluate subsidiaries of US multinationals as a contingent factor indicating that institutional effects at the level of the national business system are likely to be more embedded than the effects of ownership on employment and IR at firm level.