Behavior of the firm under rate-of-return regulation with two capital inputs

Traditional electric utility companies face a trade-off between building generation facilities that utilize renewable energy (RE) and non-renewable energy (non-RE). The firm's input decision to build capacity for either source depends on several constraining factors, including input prices, policies that promote or discourage RE use, and the type of regulation faced by the firm. This paper models the utility company's decision between RE and non-RE capital inputs. From the model, we derive the result that rate-of-return (ROR) regulation decreases the investment in RE capital relative to the unregulated firm. These findings suggest restructuring electricity generation markets, which removes the ROR on generating assets, can increase the relative use of RE. A second result of the model shows that the renewable portfolio standard (RPS) increases the investment in capital that requires RE as a source of electricity, as expected. This paper contributes to the literature on the substitution between renewable and non-renewable resources, by examining the policies that affect the investment in the two types of technologies. The model can also be applied to other regulated utilities, such as water or natural gas companies, with outputs that are produced from different types of capital.     

Die Einheitlichkeit der europ?ischen Aufsichtsarchitektur und die Besonderheit der Versicherungswirtschaft

The powers and the margin of discretion enjoyed by the European Supervisory Authorities within the framework of the European System of Financial Supervision are considerably wider than under the German Versicherungsaufsichtsgesetz. As a consequence, the particular role which the insurance sector plays within the framework of prudential supervision threatens to come under pressure by new regulatory approaches of EIOPA either in the form of legally binding technical standards or non-binding guidelines. However, the business model of the insurance sector should at least prevent an intrusive regulation in the field of financial stability since insurance companies tend to be more robust in financial crises than credit institutions.     

Interest group incentives for post-lottery trade restrictions

The rights to use publicly-managed natural resources are sometimes distributed by lottery, and typically these rights are nontransferable. Prohibition of post-lottery permit transfers discourages applicants from entering the lottery solely for profitable permit sale, so only those who personally value the use of the resource apply. However, because permits are distributed randomly and trade is restricted, permits may not be used by those who value them most. We argue that restrictions on permit transfers is a policy response designed to limit entry when interest group membership is not distinguishable ex ante, and characterize the economic/informational conditions under which post-lottery prohibitions on trade are likely to arise. We develop our model using the specific case of the Four Rivers Lottery used to allocate rafting permits on four river sections in Idaho.     

Attribute Range Effects in Binary Response Tasks

This paper investigates attribute range effects in binary response conjoint analysis tasks. We investigate a long-standing conjecture that the regression estimates of attributes in choice tasks are influenced by a researcher's selected range of attribute levels across choice sets. Specifically, we examine the effect(s) of varying attribute ranges systematically over two ranges of levels (1=wide range, 2=levels in the middle of the wide range) in a public bus choice context. A master 2³ design is used to vary the range (i.e., wide, middle) of three numerical attributes (fare, service and time). In each of the eight master range conditions a 2³ factorial creates bus profiles, and a ninth condition is added to test for response non-linearity. Our results suggest that attribute range impacts attribute main effects to a small degree, yet exhibit substantial and systematic effects on attribute interactions and model goodness-of-fit. Implications of these results for practical design of academic and commercial choice-based conjoint analysis tasks are discussed.