Statistical Modelling of Incentive Design Under Limited Information ‐ The Case of Public Access to Farmland

This paper explores the use of statistical modelling to aid efficient policy design for the provision of environmental goods on farms under conditions of adverse selection. The specific case of incentive‐based schemes to enhance the supply of public access to farmland is used as an example. A range of site willingness‐to‐pay (WTP) distributions are used to explore the benefits derived from policies designed under different levels of information. Where no individual farm information is available, low payment rates are optimal, but efficient market creation may not be possible. Increasing the information set allows discretion in pricing and entry: optimal payment rates and net benefits are higher and the pay‐off from procuring improved information can be substantial. Such benefits are reduced where there is a welfare cost associated with increased government expenditure. Optimal policies are sensitive to the skewness of the WTP distributions. Mechanisms for increasing the information set available to policy makers are discussed.     

Village appraisals. A tool for sustainable community development in rural areas in the UK?

This paper evaluates the contribution that village appraisals can make to sustainable development in local communities in rural areas. Based upon an evaluation of the JIGSO initiative, it both outlines the strengths of this approach and argues for the necessity of proper community infrastructure if most benefit is to be gained from it.     

National Enterprises,National States and Labour Relations after the End of Globalization

Books reviewed in this essay: Edwards, Paul and Tony Elger (eds.) The global economy, national states, and the regulation of labour Waddington, Jeremy (ed.) Globalization and patterns of labour resistance Rugman, Alan The end of globalization     

Preference Erosion,Government Revenues and Non‐tariff Trade Barriers

Developing countries benefiting from developed country unilateral trade preferences fear that Doha Round tariff cuts will erode the value of those preferences. That these programmes confer significant benefits, however, is not clear. Studies indicate that the impact of preference erosion would be minimal for most developing countries. But for a small subset of middle‐income and least‐developed countries, concern may be warranted. WTO members, should address affected countries’ concerns, perhaps by tailoring WTO tariff negotiations to lessen adjustment pressures and providing development assistance. Developing countries also are anxious that lower tariffs will reduce government revenues. Dependence on tariff revenue is diminishing and trade liberalisation need not result in lower total tax revenues or even lower customs revenues. Much depends on a country's current tariff and trade regime, its tax structure and its overall economic structure. At some point, a country does need to broaden its tax base and look to other revenue sources to offset declining tariff revenues. Tax reform, therefore, complements trade reform. A third area of developing country concern is non‐tariff barriers (NTBs), which may limit market access even after tariffs are reduced. Despite prior WTO work in this area, NTBs remain a thorny issue for all WTO members.     

Convergent Validity of Revealed and Stated Recreation Behavior with Quality Change: A Comparison of Multiple and Single Site Demands

We consider the convergent validity of several demand models using beach recreation data. Two models employ multiple site data: a count data demand system model and the Kuhn–Tucker demand system model. We explore the role of existing variation in beach width in explaining trip choices, and analyze a hypothetical 100 foot increase in beach width. We compare these models to a single equation model where we jointly estimate revealed and stated preference trip data, and focus on a hypothetical scenario considering a 100 foot increase in beach width. In each case we develop estimates of the change in beach visits and the welfare impacts from the increase in width. The trip change estimates from two of the three models are similar and convergent valid, though the willingness to pay estimates differ in magnitude.     

Evolution of trading strategies in a market with heterogeneously informed agents

We present an agent-based simulation of an asset market with heterogeneously informed agents. Genetic programming is applied to optimize the agents’ trading strategies. After optimization, insiders are the only agents able to generate small systematic above-average returns. For all other agents, genetic programming finds a rich variety of trading strategies that are predominantly based on exclusive subsets of their information. This limits their price impact and prevents them from making systematic losses. The resulting low noise renders market prices as largely informationally efficient.