Growth theory and industrial revolutions in Britain and America

Abstract. Long‐run economic growth has again become a major focus of economic theory. A perception of technological change as an economic process with externalities has motivated the development of aggregate models that generate different steady‐state growth paths. Economic history has also long been interested in long‐run economic growth. Here, a dialogue is presented between growth theory and the historical literature on the industrial revolution in Britain and America's surge to international economic leadership in the late nineteenth century. In conclusion, economists’ recent thinking about the microeconomics of technological change has provided fruitful material for the economic historian of growth. Unfortunately, the models of endogenous growth, on the other hand, present too aggregated a view of the economy to prove helpful when confronted with the details of economic history. JEL Classification: N0, N1.1 Théorie de la croissance et révolutions industrielles en Grande Bretagne et en Amérique. La croissance économique à long terme est redevenue un point d’intérêt majeur pour la théorie économique. Une perception du changement technologique comme processus économique porteur d’externalités a engendré le développement de modèles agrégés qui génèrent différents sentiers de croissance en régime permanent. L’histoire économique s’intéresse depuis longtemps à la croissance économique à long terme. Ce texte engage le dialogue entre la théorie de la croissance et la littérature historique à propos de la révolution industrielle en Grande Bretagne et de l’émergence de l’Amérique au statut de leader international à la fin du dix‐neuvième siècle. On en arrive à la conclusion que les récents développements dans la pensée économique à propos de la micro‐économie du changement technologique ont produit des résultats utiles pour l’histoire économique de la croissance. Malheureusement, d’autre part, les modèles de croissance endogène présente une vue trop agrégée de l’économie pour s’avérer utile dans l’examen des détails de l’histoire économique.     

THE INFLUENCE OF FIRM‐ AND CEO‐SPECIFIC CHARACTERISTICS ON THE USE OF NONLINEAR DERIVATIVE INSTRUMENTS

We examine why firms use nonlinear derivatives (e.g., options). Our results suggest that option characteristics in investment opportunities and debt, the payoff structure of incentive compensation, and free cash‐flow agency problems influence the firm's choice. Investment opportunities, internally generated cash flow, business risk, and option compensation positively influence the use of nonlinear currency derivatives. Option feature in bonds positively influence the use of nonlinear interest rate derivatives, whereas bonus and stock compensation, and CEO tenure have a negative influence. In sum, nonlinear cash flow characteristics in investment opportunity, debt, and executive compensation all relate positively to nonlinear derivative usage.     

COMMENTS ON FACTOR PRICES AND INCOME DISTRIBUTION IN LESS INDUSTRIALISED ECONOMIES, 1870–1939: REFOCUSING ON THE FRONTIER

A great deal of the current research into nineteenth- and twentieth-century globalisation has been focused through a neoclassical trade theory lens. Applying the Stopler-Samuelson paradigm from Heckscher-Ohlin trade theory, the result is an approach that sees price convergence as pivotal in defining, identifying, and measuring globalisation. This focus, however, obscures the implications of frontier incorporation and other insights achieved by viewing nineteenth-century globalisation as a mechanism whereby peripheral economies were incorporated into the core of organised economic activity. A frontier-centred perspective also reintroduces the role of economic institutions as a crucial element of economic growth and development.     

A de-biased direct question approach to measuring consumers' willingness to pay

Knowledge of consumers' willingness to pay (WTP) is a prerequisite to profitable price-setting. To gauge consumers' WTP, practitioners often rely on a direct single question approach in which consumers are asked to explicitly state their WTP for a product. Despite its popularity among practitioners, this approach has been found to suffer from hypothetical bias. In this paper, we propose a rigorous method that improves the accuracy of the direct single question approach. Specifically, we systematically assess the hypothetical biases associated with the direct single question approach and explore ways to de-bias it. Our results show that by using the de-biasing procedures we propose, we can generate a de-biased direct single question approach that is accurate enough to be useful for managerial decision-making. We validate this approach with two studies in this paper.     

Marketing cereal to children: content analysis of messages on children's and adults' cereal packages

This study compares messages displayed on children's and adults' cereal boxes. In total, 127 cereal boxes were collected and content analysed. On the front panel, we found an interesting contradiction between health‐related textual and graphical messages. The nutrient claim appeared on more than half of cereals for children, which is significantly higher coverage compared with that of adult cereals. On the other hand, the representation of a bowl of cereal was far more likely to appear artificially coloured or sweetened on child‐targeted cereal boxes and contain less fruits and nuts compared with adult‐targeted cereals. Results on the back and side panels showed that messages targeting adults are mostly health related (e.g. well‐being, purity) while messaging to children focuses less on health‐related messages and more on games, toys and other entertaining topics. Nutritionally, child‐targeted cereals overall are less nutritious than adult‐targeted cereals and have higher rankings of sugar sources in the ingredients. This study calls for a critical consideration about not only on what is in the cereal box but also what is on the box.     

Analytic derivation of sociometric dimensions

Dimensional analysis has been defined variously as the synthesis of dimensionless variables and as a way of spatially representing data. While in sociometrics, one may not be able to devise models resembling those of the physical sciences because of the complexity of many social situations, one may in some cases successfully apply the techniques of classic dimensional analysis and get empirically valid results. More often we derive with analytic methods from the social sciences different kinds of dimensional frameworks in which to represent data. This paper will compare these approaches to the study of relationships and give examples of where each might be appropriate. Finally, a classification of the analytical methods will be presented.     

The bright and dark side of staging: Investment performance and the varying motivations of private equity firms

Previous papers that examined investment decisions by private equity funds are divided on whether staging has a positive or negative effect on returns. We believe these opposing views can be reconciled by studying when staging is used during the life of the investment relationship: We find that staging has a positive effect on investment returns in the beginning of the investment relationship, consistent with the notion that staging helps mitigate information asymmetry. However, staging appears to be negatively associated with returns when used prior to the exit decision. Our unique dataset allows us to measure these intertemporal effects precisely.