Pricing farm-level agricultural insurance: a Bayesian approach

This paper applies Hierarchical Bayesian Models to price farm-level yield insurance contracts. This methodology considers the temporal effect, the spatial dependence and spatio-temporal models. One of the major advantages of this framework is that an estimate of the premium rate is obtained directly from the posterior distribution. These methods were applied to a farm-level data set of soybean in the State of the Paraná (Brazil), for the period between 1994 and 2003. The model selection was based on a posterior predictive criterion. This study improves considerably the estimation of the fair premium rates considering the small number of observations.      

Does Technological Innovation Really Reduce Marginal Abatement Costs? Some Theory,Algebraic Evidence,and Policy Implications

The existing literature models innovation in pollution control as a reduction in marginal abatement costs. We show that this assumption is inappropriate for production process innovations such as fuel switching. Algebraically, we examine the effects of different innovation types on marginal abatement cost curves, showing that some desirable innovations increase marginal abatement costs. Empirically, we estimate marginal abatement costs for sulfur dioxide by measuring the output distance function for electric power in Korea. Regression results confirm that production process innovations did raise marginal abatement costs in this case. One policy implication: economic instruments do not always provide stronger innovation incentives than command-and-control policies.      

Cultural Dimension of Corruption: A Cross-Country Survey

This study investigates whether culture plays a major role in determining the corruption levels of countries. The cultural dimensions of Hofstede’s model and the worldwide level of corruption provided by the Corruption Perceptions Index were used. A cross-country survey of 98 countries was conducted using ordinary least squares (OLS) regression. Three of the six main components of Hofstede’s model were found to have a significant influence on corruption, namely power distance, individualism-collectivism, and long- versus short-term orientation. National culture may explain the level of corruption in each of the countries. About half of the level of corruption in countries is explained by the national culture. Governments must acknowledge the role of culture in order to adopt the most appropriate policy decisions to fight corruption.     

Is capital a collusion device?

Summary. We examine how irreversible capital reduces the possibility of a duopoly to sustain implicit collusion by grim strategies, when the product is homogenous and firms compete in quantities. Compared with the case of reversible capital, there are two countervailing effects: Deviation from an existing collusion is less attractive, because capital once installed causes costs forever. But the punishment will also be less severe due to the high capacity the deviating firm can build before punishment starts. The last effect dominates, meaning that the commitment value of capital is negative for all firms. If capital is irreversible, collusion breaks down for realistic magnitudes of interest rates. Received: April 30, 1999; revised version: November 30, 2001     

Debreu’s social equilibrium theorem with asymmetric information and a continuum of agents

We provide several different generalizations of Debreu’s social equilibrium theorem by allowing for asymmetric information and a continuum of agents. The results not only extend the ones in Kim and Yannelis (J Econ Theory 77:330–353, 1977), Yannelis and Rustichini (Stud Econ Theory 2:23–48, 1991), but also new theorems are obtained which allow for a convexifying effect on aggregation (non-concavity assumption on the utility functions) and non-convex strategy sets (pure strategies). This is achieved by imposing the assumption of “many more agents than strategies” (Rustichini and Yannelis in Stud Econ Theory 1:249–265, 1991; Tourky and Yannelis in J Econ Theory 101:189–221, 2001; Podczeck in Econ Theory 22:699–725, 2003). To the memory of Gerard Debreu. A preliminary draft was presented in Paris, in April of 2005. I have benefited from the discussion, comments and questions of Erik Balder, Jean-Marc Bonnisseu, Bernard Cornet and Filipe Martins Da-Rocha and Conny Podczeck. A careful and knowledgeable referee made several useful comments and rescued me from a mishap.     

Property rights and information flows: a simulation approach

With the growth of the information economy, the proportion of knowledge-intensive goods to total goods is constantly increasing. Lessig (The future of ideas: the fate of the commons in a connected world. Vintage, New York 2001) has argued that IPRs have now become too favourable to existing producers and that their ‘winner-take-all’ characteristics are constraining the creators of tomorrow. In this paper we look at how variations in IPRs regimes might affect the creation and social cost of new knowledge in economic systems. Drawing on a conceptual framework, the Information Space or I-Space to explore how the uncontrollable diffusibility of knowledge relates to its degree of structure, we deploy an agent-based modelling approach to explore the issue of IPRs. We take the ability to control the diffusibility of knowledge as a proxy measure for an ability to establish property rights in such knowledge. Second, we take the rate of obsolescence of knowledge as a proxy measure for the degree of turbulence induced by different regimes of technical change. Then we simulate the quantity and cost to society of new knowledge under different property right regimes.

On the governmental use of multi-criteria analysis

Public decision making, especially about our natural environment, is inherently exposed to a high conflict potential. The necessity to capture the complex context has led to an increasing request for decision analytic techniques as support for the decision process. Multi-criteria analysis (MCA) is deemed to overcome the shortcomings of traditional decision-support tools used in economics, such as cost-benefit (CBA) or cost-effectiveness analysis (CEA). This is due, among other, to its ability of dealing with qualitative criteria (e.g. sensitive ecological factors), as well as with uncertainties about current or future impacts. Unlike CBA or CEA, MCA is rarely required by national laws or directives. Nonetheless, a number of recent MCA applications were supported by public authorities who either initiated or directly participated in such analyses. Given the theoretical assumptions about MCA's potential to support complex decision problems, as is often the case for environmental or sustainability policies, the key concern in our paper is to evaluate whether this potential has already been recognised in public decision making. For limitation purposes, the present work focuses on real-life case studies reported during the last decade with an insight in the initiation, the actors involved and the importance of the MCA results in the decision process. We argue that the significance and role played by MCA so far reaches beyond its current legal requirements.     

Austrian economics and the analysis of labor markets

Theory and policy relating to labor markets is dominated by the mainstream labor market model, although a less well-known, socioeconomic version can also be identified. The mainstream model is methodologically flawed and forced, thereby, to relegate any (serious) investigation of labor market institutions and/or social structures to the margins of its analysis. The socioeconomic account is not so much methodologically flawed, as methodologically ambivalent. While this ambivalence does not actually prevent the investigation of institutions and/or social structures, it does promote ambiguity whenever we inquire into the precise nature of the interaction between them and labor markets. Insights from Austrian economics, when used in collaboration with critical realist methodology, can play a part in augmenting the socioeconomic account, generating a totally new approach to the analysis of labor markets.