Expressive Constitutionalism

We argue that the standard Constitutional Political Economy defence of constitutionalism, that derives from an argument relating to the shift from narrowly self-interested motivations in the in-period context to relatively general-interest decision making in the constitutional context, is flawed precisely because it is intended to relate to essentially political settings where decision making must be construed as collective in nature. We suggest an alternate account of expressive constitutionalism that points to a specific defence of constitutional conventions that are insulated from popular voting.     

Aggregation bias, compositional change, and the border effect

Borders affect the composition, not only the level, of interregional trade. In disaggregated U.S. Commodity Flow data, border effects vary substantially across commodities. Substantial border–induced compositional change suggests the possibility that standard estimates suffer from aggregation bias arising from endogenous industry location patterns and the presence of zero observations in commodity–level trade. Adjusting for these effects reduces the estimate of the aggregate border effect from 20.9 to 5.7. JEL Classification: F14, F15
Biais d'agrégation, changement de composition, et effet de frontières. Les frontières affectent la composition et pas seulement le volume de commerce inter-régional. Une analyse des données désagrégées des flux de commerce de biens des Etats-Unis montre que l'effet de frontières varie substantiellement selon les biens. Le changement de composition du commerce engendré par les frontières suggère la possibilité que les estimations usuelles souffrent d'un biais d'agrégation résultant des patterns de localisation industrielle endogènes et de la présence d'observations nulles dans le commerce de certains biens. Un ajustement pour tenir compte de ces effets suggère que les effets de frontières passent de 20.9 à 5.7.     

Behavioural Microsimulation with Labour Supply Responses

This paper provides a technical survey of recent developments in behavioural microsimulation. We discuss the criteria by which models of labour supply may be chosen for application to behavioural microsimulation, and consider how such models may be augmented to control for fixed costs, child–related work costs, preference heterogeneity and endogeneity in wages. We describe methods by which non–linear budget constraints may be accommodated in estimation, policy simulations and welfare analysis, and discuss how stochastic terms may be factored into the simulation of behavioural responses to a policy shock.     

The Effect of Risk Characteristics on the Willingness to Pay for Mortality Risk Reductions from Electric Power Generation

The objective of this study is to estimate willingness to pay (WTP) for the reduction of mortality risks caused by fossil fuel (natural gas, coal and oil) versus nuclear electric power generation systems and to examine the influence of risk characteristics involved with electric power generation on WTP. A choice experiment was conducted to achieve these objectives. The attributes for nuclear risks in the experiment included the probability of disasters and the expected losses if a disaster occurs. We find evidence of (i) a baseline effect (where WTP is sensitive to hypothetical versus actual baseline expected mortality); (ii) a ‘labeling effect,’ where, surprisingly, the term ‘nuclear’ has no effect on WTP, but the term ‘fossil-fueled power generation’ results in lower WTP; and (iii) disaster aversion, meaning that people focus on the conditional loss from a nuclear disaster, not the probability. We also find that the WTP for reducing deaths from a nuclear disaster is about 60 times the WTP for routine reducing fossil-fuel generation-related deaths.     

The Cost of Monopoly in Australian Manufacturing

This article looks at the deadweight loss arising from monopoly elements in Australian manufacturing under various assumptions and its relationship with the level of concentration.     

Forecasting UK house prices: A time varying coefficient approach

Previous studies of UK house prices, developed from the demand and supply ofhousing or from the asset market approach have been poor in terms of robustness and ex-post forecasting ability. The UK housing market has suffered a number of structural changes, particularly since the early 1980s with substantial house price increases, financial market deregulation and the removal of mortgage market constraints through competition. Consequently, models which assume that the underlying data-generating process is stable and apply constant parameter techniques tend to suffer in terms of parameter instability. This article uses the Time Varying Coefficient (TVC) methodology where the underlying data-generating process in the UK housing market is treated as unstable. The estimation results of the TVC regression of UK house prices is compared with those obtained from three alternative constant parameter regressions. Comparisons of forecasting performance suggest the TVC regression out-performs forecasts from an Error Correction Mechanism (ECM), Vector Autoregressive (VAR) and an Autoregressive Time Series regression.     

Management-Science and Business-Ethics

Many leading management scientists have advocated ethicalism: the incorporation of social and ethical concerns into traditional "rational" OR-MS techniques and management decisions. In fact, elementary forms of decision analysis can readily be augmented, using ethical theory, in ways that sweep in ethical issues. In addition, alternative conceptual models of Decision-Analysis, Game-Theory and Optimality are now available, all of which have brought OR-MS and Business-Ethics into a closer alignment.