Understanding modelling in technology and science: the potential of stories from the field

This paper tells the story of how two biotechnologists used models, one working as a technologist and the other as a scientist. These stories were collected during the development of the key ideas about the nature of technology and technological knowledge during the latest curriculum development in New Zealand. Their stories of how and why they used models provided insight into the different role of modelling in technology and science. This difference can be linked to the fundamental difference between technology as a discipline that attempts to intervene in the world and create something other, and science as a discipline that attempts to explain the world. The stories illustrate the differences in the purpose, outcome and the underpinning reasoning across technology and science. We suggest that using such stories supports learning about the nature of technology and the nature of science and provides an opportunity to add a critical dimension to the development of technological literacy and scientific literacy.     

SOME ESTIMATES OF TRADE FLOWS IN BANKING SERVICES

This paper presents some estimates of international trade in banking services. We use IMF data on assets and liabilities of both domestic banks and non-banks with foreign banks, and of foreigners with the domestic banking system to construct measures of the volume of transactions on which banking intermediation services are provided across national borders. We then use estimates of the spread between borrowing and lending rates for depositors and borrowers with the financial institutions involved to estimate the value of international flows of intermediation services. Estimates are presented for 1982–84 and 1991–93 for the U.S., the U.K., and Canada.     

Informing a pedagogy for design and problem-solving in hard materials by theorising technologists’ learning experiences

Design and problem solving are central to technology and have distinguished learning in technology from other curriculum areas. This research investigated how expert technologists learn design and problem solving through experience. Data was collected from four expert technologists and this information was analysed using learning theories that focus on learning through experience—that is experiential learning theory, situated cognition, distributed cognition and activity theory. This framework of analysis provided evidence that learning through experience is central to these experts’ development and justify a broader construct of experience than normally associated with hard materials. This information supports curriculum development in hard materials technology that employs a wide range of experiences and provides justification for curriculum developers and teachers to justify, inform and develop effective design and problem solving learning programmes focussed on a broadened construct of experience.     

Poverty and fat consumption: Education poor or income poor?

In this paper, we question the role of added fats on health disparities in the French case and its policy implications. Since low-status populations are proven to have more nutritional pathologies, can we evidence fat consumption specificity in poor populations? We first verify the strong sensitivity of fat consumption to income and education, criteria which both characterize deprived populations. We estimate a demand system taking into account the selection issue. For this we propose a modification of the Shonkwiler and Yen's procedure which, unlike Heckman's, allows participation on every market of products to be controlled for. We use the latter procedure on a set of seven fat categories which have different, including opposite, health attributes. Our results show that segmentation following income and/or education essentially affects price elasticities. This offers different perspectives for health policies. Controlling fat consumption through prices appears easier among low-income households than among low-education households.     

Assessing Debt Sustainability in a Stochastic Environment: 200 Years of Dutch Debt and Deficit Management

When debt levels approach critical levels, tax payers may revolt against the associated debt service burden. Funding problems may arise in capital markets when lenders anticipate such revolts and refuse to participate in debt auctions. We provide a stochastic framework to assess whether such problems may arise and argue that the key to fiscal sustainability in a stochastic environment is a feedback rule from debt level shocks back to corresponding adjustments in the primary surplus. We show that such feedback rules narrow future distributions of debt–output ratios and so reduce crisis probabilities. We apply the methodology to Dutch debt and deficit data spanning two centuries. Our results strongly argue for the incorporation of rules stipulating tightening fiscal policy whenever debt stocks exceed previously agreed upon targets (like in the original Eurozone Stability pact).