The Nonparametric Approach to Applied Welfare Analysis

Changes in total surplus are traditional measures of economic welfare. We propose necessary and sufficient conditions for rationalizing individual and aggregate consumer demand data with individual quasilinear and homothetic utility functions. Under these conditions, consumer surplus is a valid measure of consumer welfare. For nonmarketed goods, we propose necessary and sufficient conditions on input market data for efficient production, i.e. production at minimum cost. Under these conditions we derive a cost function for the nonmarketed good, where producer surplus is the area above the marginal cost curve. We are greatful to helpful remarks and comments of the referees and the editor. The work is partially supported by the Spanish Ministry of Science and Technology, through Grant BEC2002-2130, the Generalitat de Catlaunya, through Grant 2005SGR-00454 and the Barcelona Economics Program (CREA).     

Industrial relations in the next decade

Here the authors discuss current trends in British industrial relations and their likelihood of continuing. The central question is that of the probable consequences for management and unions of the sustained rise in unemployment.     

Employer Penalties for Failure to Provide Individual Employee Notification Under the Family and Medical Leave Act: “Clarifications” Following Ragsdale v. Wolverine Worldwide, Inc.

This article examines the Supreme Court's ruling in Ragsdale v. Wolverine Worldwide, Inc. (2002) and considers its implications for employer and employee rights and responsibilities relative to implementing the FMLA policies. We provide an overview of the pre-decision regulatory environment including the general leave provisions of the FMLA and DOL's regulations requiring employer notification of leave designated as FMLA leave. We also identify those provisions that the decision did not alter and provide a broader consideration of the issues and implication of this decision for employers and employees.     

Uncertainty and the theory of international trade in long-run equilibrium

We consider a country with two factors and two industries, each of which faces technical and price uncertainty. Entrepreneurs choose outputs in order to maximize the expected utility of profits. They also draw factor payments and purchase consumption goods after the uncertainty isresolved. They enter and exit from an industry according to whether participation there increases their expected utility. Within this model, the validity of the propositions of neoclassical trade theory depends on how the entrepreneurs' entry decisions are affected by parameter changes via their roles as risk bearers, consumers and factor owners.     

How Useful Is the Genuine Savings Rate as a Sustainability Indicator for Regions within Countries? Australia and Queensland Compared

This article shows how macroeconomic indicators of sustainable development can be applied to the Queensland economy. While recognising the complex and contentious theoretical and practical issues in deriving the Genuine Savings Rate (GSR) to serve as such an indicator, we use the World Bank's methodology, which includes only mineral depletion, deforestation and carbon dioxide emissions as environmental terms, to estimate GSRs for Queensland for the period 1989 to 1999, and compare these to World Bank estimates of Australia's GSR for the same period. We find that Queensland has a higher rate of natural resource depletion and a lower GSR than the whole of Australia. We also examine how well the World Bank GSR performs as a ‘headline’ measure of overall sustainability, review criticisms of the GSR, and compare its implicit policy implications with those of net state savings, and of the GSR plus a suite of other indicators.     

Regulated firms in pollution permit markets with banking

This paper examines a competitive intertemporal market for bankable emission permits, such as sulfur dioxide allowances. Without profit regulation, firms are willing to bank permits if permit prices rise over time with the rate of interest, but will not bank if prices rise more slowly.The market achieves aggregate emission targets at least total cost if there is no profit regulation, but may not do so if firms are subject to profit regulation. Firms must arbitrage differences both in abatement cost and in the regulatory treatment of permits to achieve least total cost.The impetus for this work came from research we initiated during the Summer of 1990 for the Energy Information Agency. We would like to thank Chuck Howe for his detailed comments and enthusiasm, and Jim Alm, Dave Bjornstad, Charles deBartolome, Mike Greenwood, Robert Hahn, Douglas Hale, Carolyn Lang, Jim Markusen, Edward Morey, Till Requate, and Tom Tietenberg. We are grateful to the editor and two anonymous referees for stressing the importance of regulation in these markets and for their helpful and clarifying advice.     

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.