Technology assessment network building: The International Association of Technology Assessment and Forecasting Institutions

With the globalization of trade and the increased understanding of transboundary problems such as global climate change, the need for understanding the consequences of technological change has never been higher. Institutional arrangements necessary to assess these changes and make decision makers aware of the consequences have not necessarily adapted to these world conditions. In response to this leading technology assessment and forecasting institutions formed an international association of technology assessment and forecasting institutions to assist in the diffusion of technology assessment in the decision-making process. This paper discusses the origins of the International Association of Technology Assessment and Forecasting Institutions (IATAFI) and the goals and vision for the organization. The following articles represent some of the topics discussed at the first IATAFI conference in Bergen, Norway in May 1994.     

Towards a New Austrian Macroeconomics

Austrian macroeconomists of the interwar period saw the economy as a complex adaptive system, in which macroeconomic variables emerge from the interaction between millions of purposefully acting agents. Recent advances in computation technology allow us to build empirically salient synthetic economies in silico, and thereby formalize many Austrian insights. We present a workhorse model with firms on an input-output network. Macroeconomic variables evolve through the interaction between micro-economic decisions. We use the model to explain an effect of monetary shocks on the price distribution and provide a sketch of other potential applications.     

Market competition, social welfare in an entry-constrained differentiated-good oligopoly

This paper studies a differentiated-good oligopoly where the socially optimal number of firms (varieties) may be smaller or greater than under the free-entry equilibrium. We show that, under certain conditions, social welfare may be higher when entry is restricted into the industry.     

Incentives and teacher effort

Few would contest that teachers are a very important determinant of how much students learn in school, and how to improve teacher performance has been the focus of lively policy debate in both rich and poor countries. This paper examines how teacher incentives, both pecuniary and non‐pecuniary, correlate with teacher effort. Using school survey data from Lao PDR, we estimate measures of teacher effort, including the number of hours that teachers spend preparing for classes and teacher provision of private tutoring outside of class hours, which are not the typical measures used in previous research. Estimation results fit well under the standard labour supply framework and indicate that greater teacher effort is associated with non‐pecuniary incentives such as more teacher autonomy over teaching materials and monitoring as measured by the existence of an active parent – teacher association and the ability of school principals to dismiss teachers. Methodologically, this paper provides a detailed derivation of a simultaneous OLS‐probit model with school random effects that can jointly estimate teacher work hours and tutoring provision.     

Do Education and Income Really Explain Inequalities in Health? Applying a Twin Design

We apply a twin design to examine the relationship between health and education and income. The estimated associations between health and education and income, controlling for unobserved endowments, at the twin‐pair level, are lower than estimates obtained via ordinary least‐squares (OLS) on the same sample. Thus, OLS‐based effects of education and income are biased, exaggerating the contribution of education and income to health inequality. The main part of health inequality is explained by within‐twin‐pair fixed effects, incorporating family background and genetic inheritance. It appears that education and income policies have less to offer for reducing health inequality than is usually assumed.     

The link between attractiveness of “Extrabrand” attributes and the adoption of innovations

While innovators may rush to purchase many new products, most consumers are more conservative and do not want to buy into fads but purchase only those new products that are viable. How do the majority of consumers make judgments about whether they will adopt an innovation? This article examines the evaluative aspects of adoption as a means for better understanding consumer adoption and the market factors that may influence the success of an innovation. This research introduces a conceptual model that shows how consumers’ evaluation of product category attractiveness affects the adoption decision for really new products. These consumer evaluations are based on the attributes of the product category (“extrabrand” attributes) rather than brand attributes. Results from a test of the model indicate that consumers do use extrabrand attributes to assess the attractiveness of innovative new products.     

Forecasting interest rates with shifting endpoints

We consider forecasting the term structure of interest rates with the assumption that factors driving the yield curve are stationary around a slowly time‐varying mean or ‘shifting endpoint’. The shifting endpoints are captured using either (i) time series methods (exponential smoothing) or (ii) long‐range survey forecasts of either interest rates or inflation and output growth, or (iii) exponentially smoothed realizations of these macro variables. Allowing for shifting endpoints in yield curve factors provides substantial and significant gains in out‐of‐sample predictive accuracy, relative to stationary and random walk benchmarks. Forecast improvements are largest for long‐maturity interest rates and for long‐horizon forecasts. Copyright © 2013 John Wiley & Sons, Ltd.