Integrated bio-economic models as tools to support land-use decision making: a review of potential and limitations

Bio-economic modelling has become a useful tool for anticipating the outcomes of policies and technologies before their implementation. Advances in mathematical programming have made it possible to build more comprehensive models. In an overview of recent studies about bio-economic models applied to land-use problems in agriculture and forestry, we evaluated how aspects such as uncertainty, multiple objective functions, system dynamics and time have been incorporated into models. We found that single objective models were more frequently applied at the farm level, while multiple objective modelling has been applied to meet concerns at the landscape level. Among the objectives, social aspects are seldom represented in all models, when being compared to economic and environmental aspects. The integration of uncertainty is occasionally a topic, while stochastic approaches are more frequently applied than non-stochastic robust methods. Most multiple-objective models do not integrate uncertainty or sequential decision making. Static approaches continue to be more recurrent than truly dynamic models. Even though integrating multiple aspects may enhance our understanding of a system; it involves a tradeoff between complexity and robustness of the results obtained. Land-use models have to address this balance between complexity and robustness in order to evolve towards robust multiple-objective spatial optimization as a prerequisite to achieve sustainability goals.     

Accumulation and distribution of human capital: the interaction between individual and aggregate variables

The paper analyses the joint evolution of accumulation and distribution of human capital in an OLG framework. Dynamics arises from the interplay between human capital distribution and individual variables—inherited human capital and inborn ability. Such interaction drives individual investment in human capital and accumulation in the economy. According to initial distribution the model provides different dynamical behaviours linking growth and inequality; in general economies with a more equal initial distribution grow faster but other cases are possible. Moreover, since the model provides an endogenous threshold for investing in human capital, the distribution is characterised by multi-modality.     

Output-inflation tradeoffs in 34 countries

This article examines the responsiveness of real output to the variability of inflation and aggregate demand. In the manner of Lucas (1973), estimates of the output-inflation tradeoff are computed for a large sample of countries. This measure is then correlated with the variances of the inflation rate and the growth rate in nominal income. Because differences in inflation variance (and hence the tradeoff) are viewed as the outcomes of differences in demand variance, correlations between these two variables are also reported. Cross-time and cross-country results provide a good measure of support for Lucas and the notion that attempts to exploit the tradeoff weaken it.     

Financial Innovation and Information: The Role of Derivatives When a Market for Information Exists

We study the effects of financial innovation in a model of endogenousinformation acquisition. We determine the conditions under whichthe introduction of a derivative written on an existing stockincreases or decreases the incentive to purchase information.We show that financial innovation produces some effects whichhold across informational structures and others which differ.The former coincide with the few empirical results that arerobust in the literature (effects on prices, risk premia, andvolatility), while the latter coincide with the ones that differexperiment by experiment (effects on volume, correlation betweenvolume and volatility, and market informational efficiency).     

Evaluation of cooperative research

This report looks at evaluation studies of a number of cooperative academic-industrfy research programmes in Europe, and suggests that indirect economic benefits should be taken into account as well as motives and goals of participating firms.     

Finding Closest Targets in Non-Oriented DEA Models: The Case of Convex and Non-Convex Technologies

This paper draws attention for the fact that traditional Data Envelopment Analysis (DEA) models do not provide the closest possible targets (or peers) to inefficient units, and presents a procedure to obtain such targets.It focuses on non-oriented efficiency measures (which assume that production units are able to control, and thus change, inputs and outputs simultaneously) both measured in relation to a Free Disposal Hull (FDH) technology and in relation to a convex technology. The approaches developed for finding close targets are applied to a sample of Portuguese bank branches.     

Nominal bargaining power, selection protocol, and discounting in legislative bargaining

The comparative static predictions of the Baron and Ferejohn [Baron, D.P., and Ferejohn, J.A., (1989). Bargaining in legislatures, American Political Science Review 83 (4), 1181-1206] model better organize behavior in legislative bargaining experiments than Gamson's Law. Regressions similar to those employed in field data produce results seemingly in support of Gamson's Law (even when using data generated by simulating agents who behave according to the Baron-Ferejohn model), but this is determined by the selection protocol which recognizes voting blocks in proportion to the number of votes controlled. Proposer power is not nearly as strong as predicted in the closed rule Baron and Ferejohn model, as coalition partners refuse to take the small shares given by the continuation value of the game. Discounting pushes behavior in the direction predicted by Baron and Ferejohn but has a much smaller effect than predicted.     

On pricing lookback options under the CEV process

Abstract We consider the problem of pricing European lookback options when the underlying asset price is driven by a constant elasticity of variance (CEV) process. The evaluation model is based on the binomial approximation developed by Nelson and Ramaswamy (1990) and we show how to apply it in the case of such options. We develop simple pricing algorithms that compute accurate estimates of the option prices.     

Concentration and public policies in the broadcasting industry: the future of television

New technologies are deeply transforming the broadcasting industry. What we have seen so far is only the beginning of a long story. Inevitably, industry regulations must adapt, which means that a wide-ranging rethink of current practices is required. In order to assess the likely evolution of the industry, this article decomposes it into a number of components, from conception of programmes to their broadcasting, including distribution, storage and licensing. Contrary to popular expectations, the analysis suggests that the current high degree of concentration will, if anything, increase. The policy implication is that regulation, so far driven by now obsolete technological constraints, should increasingly emphasize promoting competition.