USING FUNCTIONINGS TO ESTIMATE EQUIVALENCE SCALES

Equivalence scales are used to enable welfare comparisons across heterogeneous households. In this paper, we propose to use the achievement of a certain level of functioning as the identifying assumption for the derivation of equivalence scales. This will allow us not only to deal with welfare comparisons between households of different size and composition, but will also enable us to incorporate other characteristics (such as location and employment status) in the creation of equivalence scales for welfare comparisons. The paper applies this approach to create equivalence scales for the functioning “shelter” using Belgian and Italian data. The analysis shows that the income differences associated with different characteristics only play a small role in explaining differences in functionings. An important policy message is therefore that compensating people for functioning shortfalls in monetary terms may not be sensible.     

E-banking comes to town: Exploring how traditional UK high street banks are meeting the challenge of technology and virtual relationships

UK high street banks are continuing to extend the choice of channel through which customers can manage their moneycolon; an obvious example is e-banking. They have been keen to exploit technological advances and changing customer attitudes to alternative channels. Additionally, competition from leaner new market entrants has provided an added incentive to adopt new approaches. In the light of such developments, it is worth reflecting on the changing nature of the bank–customer relationship. This paper suggests that banks are finding it difficult to manage relationships effectively due, in large measure, to the sheer volume of customer data generated by new interactive, technology-based channels. Paradoxically, it seems that the more data banks have about customers the less likely they are to know them on a personal level. It is further suggested that channels such as e-banking potentially reduce the level of personal contact between bank and customer to the extent that a ‘virtual’ relationship develops. This paper concludes that, given the tendency towards ‘virtualisation’, it is inconceivable that bank–customer relationships will become any more intimate in the future. Indeed, a greater degree of personalisation in customer communication may be the very best that banks are able to offer.     

Numerical issues in threshold autoregressive modeling of time series

This paper analyses the contribution of various numerical approaches to making the estimation of threshold autoregressive time series more efficient. It relies on the computational advantages of QR factorizations and proposes Givens transformations to update these factors for sequential LS problems. By showing that the residual sum of squares is a continuous rational function over threshold intervals it develops a new fitting method based on rational interpolation and the standard necessary optimality condition. Taking as benchmark a simple grid search, the paper illustrates via Monte Carlo simulations the efficiency gains of the proposed tools.