ExpertLens: A system for eliciting opinions from a large pool of non-collocated experts with diverse knowledge

The complexity of policy decision-making raises the need to elicit opinions from large and heterogeneous groups of stakeholders with broad and diverse sets of expertise. Existing options for elicitation include small face-to-face panels of experts by using the Nominal Group Technique (NGT), large Delphi panels whose members do not interact with each other face-to-face, and crowdsourcing, which involves an open call for input issued to a large community of people. In an attempt to close the gap between the practical needs of policy makers and the methodological challenges associated with eliciting opinions of large, diverse, and distributed groups, we have developed a new online elicitation system and methodology called ExpertLens. By optimizing the direct interactions of NGT with the larger number of Delphi participants and the wisdom of “selected crowds,” our approach is designed to save on the costs associated with traditional expert panels, while increasing accuracy in elicitation by reducing the potential for group process losses that can occur in large, diverse, and non-collocated panels whose members interact via asynchronous online discussion boards. The ExpertLens approach is iterative, does not require participants to develop consensus, and determines what the group “thinks” by statistically analyzing data collected in all rounds of the elicitation. This paper describes the ExpertLens system and methodology, briefly discusses recent ExpertLens trials, provides conceptual arguments for why it is an appropriate model for eliciting expert opinions, illustrates its main components and analytics by using an infrastructure investment example, and discusses a research agenda for testing the underlying tenets of the ExpertLens approach.     

How Large are the Welfare Gains from Technological Innovation Induced by Environmental Policies?

This paper examines whether the welfare gains from technological innovation that reduces future abatement costs are larger or smaller than the Pigouvian welfare gains from optimal pollution control. The relative welfare gains from innovation depend on three key factors—the initially optimal level of abatement, the speed at which innovation reduces future abatement costs, and the discount rate. We calculate the welfare gains from innovation under a variety of different scenarios. Mostly they are less than the Pigouvian welfare gains. To be greater, innovation must reduce abatement costs substantially and quickly and the initially optimal abatement level must be fairly modest.     

On the forecasting of the challenging world future scenarios

Logistic and power law methodologies for both retrospective and prospective analyses of extended time series describing evolutionary growth processes, in environments with finite resources, are confronted. While power laws may eventually apply only to the early stages of said growth process, the Allee logistic model seems applicable over the entire span of a long range process. On applying the Allee logistic model to both the world population and the world gross domestic product time series, from 1 to 2008 AD, a projection was obtained that along the next few decades the world should experience a new economic boom phase with the world GDP peaking around the year 2020 and proceeding from then on towards a saturation value of about 142 trillion international dollars, while the world population should reach 8.9 billion people by 2050. These results were then used to forecast the behavior of the supply and consumption of energy and food, two of the main commodities that drive the world system. Our findings suggest that unless the currently prevailing focus on economic growth is changed into that of sustainable prosperity, human society may run into a period of serious economical and social struggles with unpredictable political consequences.     

Does the Delphi process lead to increased accuracy in group-based judgmental forecasts or does it simply induce consensus amongst judgmental forecasters?

We investigate the relative impact of internal Delphi process factors - including panelists' degree of confidence, expertise, majority/minority positioning - and an external factor, richness of feedback - on opinion change and subsequent accuracy of judgmental forecasts. We found that panelists who had low confidence in their judgmental forecast and/or who were in a minority were more likely to change their opinion than those who were more confident and/or in a majority. The addition of rationales, or reasons, to the numeric feedback had little impact upon panelists' final forecasts, despite the quality of panelists' rationales being significantly positively correlated with accurate forecasts and thus of potential use to aid forecast improvement over Delphi rounds. Rather, the effect of rationales was similar to that of confidence: to pull panelists towards the majority opinion regardless of its correctness. We conclude that majority opinion is the strongest influence on panelists' opinion change in both the ‘standard’ Delphi, and Delphi-with-reasons. We make some suggestions for improved variants of the Delphi-with-reasons technique that should help reduce majority influence and thereby permit reasoned arguments to exert their proper pull on opinion change, resulting in forecast accuracy improvements over Delphi rounds.     

How Monetary Policy can have Permanent Real Effects with Only Temporary Nominal Rigidity

A macroeconomic model is developed in which the psychological concept of loss aversion is incorporated into workers' preferences. The impact of monetary policy in the presence of loss aversion depends on the specification of the reference wage. The plausible specification that a worker's reference wage is the real wage she was paid in the previous period is considered in detail. Specifying the reference wage in this way, we show that an unanticipated change in monetary policy has a permanent, real effect when short term labour contracts are written in nominal wages.     

ALTERNATIVE MEASURES OF THE AVERAGE DURATION OF UNEMPLOYMENT

Four alternative measures of the average duration of unemployment are examined with the intention of illustrating: (1) the biases inherent in the average incomplete duration of unemployment, a statistic that is often the only one reported by many statistical agencies; and (2) the robustness of the average complete duration of unemployment to a host of assumptions underlying its derivation by non-parametric methods. Canadian data are employed, but the results offer a guide to the construction of the average complete duration of unemployment that may have broader applications.     

Bush v. Gore and the Effect of New Source Review on Power Plant Emissions

New Source Review (NSR) is a Clean Air Act regulation that requires electric utilities to meet emission standards when making modifications to existing power plants. The regulation increases the cost of replacing worn out parts, and limits the firm’s scope of potential capital investments. Such restrictions may lead to greater retirements and lower utilization, adversely affecting profits. Prior to the 2000 presidential election, investors expected Bush to have a narrower interpretation of NSR than Gore. Therefore, we use changes in stock prices to estimate the effect on profits of differences in NSR policy. Our results indicate that investors expected the average boiler to be $38 million more valuable under the Bush administration. Over the boilers’ lifetimes, the additional utilization will have increased emissions by 19 million tons of sulfur dioxide, 5.9 million tons of nitrogen oxides and 980 million tons of carbon dioxide, relative to natural gas generation.      

Dynamics of the UK natural gas industry: System dynamics modelling and long-term energy policy analysis

We present a dynamic model of the indigenous natural gas industry in the UK. The model has been built using a system dynamics approach. Using the model several scenarios have been analyzed. We found that management of the supply-side policy alone cannot substantially postpone the discovery, production and consumption peak. We also found that the dynamics of the main variables, namely, exploration, production and consumption, are sensitive to initial demand conditions. Postponing the onset of gas price increases can therefore be achieved more effectively through efforts to reduce demand growth. One might expect that a low taxation policy would encourage more exploration and production of gas and thereby stimulate higher consumption rates. Instead, there was no overall net effect on production and consumption in the long term. The depletion effect on cost of exploration acts as counterbalance to low taxation policy. Depletion effect causes cost and thus price to rise further which depress consumption rate. The advances in exploration and production technology can delay the peak of exploration, production and consumption. Technological improvements mean lower cost of exploration and production which pressure down the long-term pattern of price dynamics.