The absolute health income hypothesis revisited: a semiparametric quantile regression approach

This paper uses the 1998–1999 Canadian National Population Health Survey data to examine the health–income relationship that underlies the absolute income hypothesis. To allow for nonlinearity and data heterogeneity, we use a partially linear semiparametric quantile regression model. The “absolute income hypothesis” is partially true; the negative aging effects appear more pronounced for the ill-healthy population than for the healthy population and when annual income is below 40,000 Canadian dollars. We would like to thank two anonymous referees and Baldev Raj, the editor, for useful and constructive comments and suggestions. The views expressed in this article are those of the authors and do not necessarily reflect the views of Statistics Canada. Both authors would also like to acknowledge financial support from SSHRC of Canada.     

Location,internationalization and performance of firms in Italy: a multilevel approach

Competition is increasingly global. However, location still matters: often firms cluster in the same geographic areas in order to exploit locational externalities and improve their competitiveness. This article analyses how Italian firms' performance, proxied by their propensity to export, depends both on geographical and institutional context and on individual characteristics. Using a multilevel approach, we estimate and distinguish the effect of individual (firm level) and context (province level) variables on the performance of internationalized Italian firms. We show that both firms and province heterogeneity shape the results.     

Testing for negativity in a demand system: A Bayesian approach

The paper introduces Bayesian inference into a demand model. This allows us to test for the negativity condition of the substitution matrix which is difficult to handle directly in the traditional approach. To illustrate the Bayesian inference procedures, we estimate the Rotterdam model and test the demand properties using Japanese data. The empirical results show the importance of specifically considering negativity in demand analysis. First version received: September 1997/final version received: February 1998     

Innovation and ICT in service firms: towards a multidimensional approach for impact assessment

This article focuses on the multimodal character of innovation in services firms as the analytical framework by which to assess the role of different sources and agents, ICT in particular, in enabling various impacts of innovation. The peculiarities of service innovation require a wider approach than that observed for goods innovation, which is less focused on non-technological aspects. An ad hoc survey was carried out in the region of Madrid to test a microeconometric and multidimensional approach at the firm level. Specific impacts of innovation are examined by carrying out an ordered probit model with sample selection. Results indicate a certain correspondence between the multidimensional nature of service innovation and a preliminary impact assessment. The paper notes that ICT and clients–providers interactions are both important, acting to facilitate different types of service innovation.

The evolution of stock market efficiency in the US: a non-Bayesian time-varying model approach

A non-Bayesian time-varying model is developed by introducing the concept of the degree of market efficiency that varies over time. This model may be seen as a reflection of the idea that continuous technological progress alters the trading environment over time. With new methodologies and a new measure of the degree of market efficiency, we examine whether the US stock market evolves over time. In particular, a time-varying autoregressive (TV-AR) model is employed. Our main findings are: (i) the US stock market has evolved over time and the degree of market efficiency has cyclical fluctuations with a considerably long periodicity, from 30 to 40 years; and (ii) the US stock market has been efficient with the exception of four times in our sample period: during the long recession of 1873–1879; the recession of 1902–1904; the New Deal era; and the recession of 1957–1958 and soon after it. It is then shown that our results are partly consistent with the view of behavioural finance.