ENGLE AND YOO THREE STEP ESTIMATION OF CONSUMERS' EXPENDITURE AND HOUSING EQUITY WITHDRAWAL

This paper reports a substantive application of Engle and Yoo's three-step estimator for cointegrated systems. Their estimator was proposed as a computationally convenient alternative to a number of FIML systems estimators. In part this estimator was developed to overcome some drawbacks of the OLS estimator of the first stage Engle-Granger cointegrating regression which, despite its widespread use, is not asymptotically efficient and does not provide (even) asympototically correct ' t ' statistics. Our application, which is of interest in its own right, is to an explanation of expenditure on nondurables and services in the UK. In formulating an empirical explanation for this variable we find it necessary to extend our framework to consider a system of dynamic error correction equations with feedbacks — or error correction mechanisms — from consumption and housing equity withdrawal.     

Consumption and communication perspectives of IT in a developing economy

Technological innovations are important sources of competitive advantage when there is a balanced rate of adoption that helps organisations maintain or improve performance levels. This paper synthesises and builds on efforts to conceptualise the adoption and implementation of technologically induced customer services in developing countries. Its point of departure is recent advances in computer-mediated marketing environments (CMMEs). It assesses relationships between customer services and evolving technologies in the provision of services in the banking sector. Using phenomenological hermeneutics and a case study approach, we iteratively engaged with data that emerged to identify core values and community-based values. These facets were further developed into seven main issues (core values: quality, education and reach, and community-based values: efficiency, usability, control and security). The paper offers practical steps by which companies and institutions may counter these issues and the theoretical implications for wider considerations are discussed.     

Marketing Period Risk in a Portfolio Context: Comment and Extension

This paper re-examines and extends the findings of Bond et al., Journal of Real Estate Finance and Economics, 34, 447–461, (2007) who consider the theoretical model of Lin and Vandell, Real Estate Economics, 35, 291–330, (2007) to determine the extent to which individual real estate asset return characteristics caused by marketing period risk disappear in a large, diversified real estate portfolio. The effects of marketing period risk are found to disappear in the limit with growth in the size of the portfolio, with ex ante variance approaching ex post variance, but only if the portfolio consists of nonsystematic risk alone, in which case both approach zero. The marketing period risk factor (MPRF), representing the ratio of ex ante to ex post variance, however, does not in general approach zero in the limit, in fact could increase or decrease depending upon the illiquidity characteristics of the individual assets and the magnitude and degree of correlation among individual property returns and marketing periods. The results suggest that even large institutional real estate portfolio managers must consider the illiquidity present in their portfolios and cannot assume that its effect will be diversified away.

Consideration sets for financial services brands

This study examines the extent of consumer information search and consideration of financial services brands. It uses data from two surveys of purchasing behavior. This study finds a surprisingly low level of consumer consideration, either by personal enquiry or via the internet. The most common consideration set comprised only one brand, and this was the case for both high-value and low-value services. The managerial implication is that services marketers should make brand salience a top priority, with the competitiveness of their offer not being the primary driver of sales. If a financial services brand is salient to a consumer, there is a very high chance they will purchase that brand, without extensive comparison of the merits of alternatives.     

Short Run Constraints and the Increasing Marginal Value of Time in Recreation

Leisure activities such as local recreation trips usually take place in discrete blocks of time that are surrounded by time devoted to other commitments. It can be costly to transfer time between blocks to allow for longer outings. These observations affect the value of time within those blocks and suggest that traditional methods for valuing time using labor markets miss important considerations. This paper presents a new model for time valuation that uses non-employment time commitments to infer the shadow value of time spent in recreation. A unique survey that elicited revealed and stated preference data on household time allocation is used to implement the model. The results support the conclusion that there is an increasing marginal value of time for recreation as the trip length increases.     

Complementarity and the Measurement of Individual Risk Tradeoffs: Accounting for Quantity and Quality of Life Effects

This paper considers the factors responsible for differences with age in estimates of the wage compensation an individual requires to accept increased occupational fatality risk. We derive a relationship between the value of a statistical life (VSL) and the degree of complementarity between consumption and labor supplied when health status serves as a potential source of variation in this relationship. Our empirical analysis finds that variations in an individual’s health status or quality of life and anticipated longevity threats lead to significant differences in the estimated wage/risk tradeoffs. We describe how extensions to the specification of hedonic wage models, including measures for quality of life and anticipated longevity threats, help to explain the diversity in past studies examining how the estimated wage–risk tradeoff changes with age.      

Semi-parametric discrete choice measures of willingness to pay

A semi-parametric discrete choice method is proposed to recover welfare measures from individual choice data. The proposed method is compared with the traditional binary choice models in an application to measure benefits of recreation trips.