Licensing policies for a new product

This paper studies licensing policies for the owner of a new product and addresses their welfare impact in the assessment of market failures. We show that the best licensing policy for the patent holder is fixed fee licensing with an exclusive territory clause. Consumers are also better off with fixed fees but do not prefer the exclusive territory clause. Social welfare is higher under exclusive territories when fixed costs are not too large. As for efficiency, the number of licences in the private market equilibrium falls short of the socially optimal solution. Our analysis discloses that (i) any policy measures aimed at enhancing the diffusion of technology, in terms of the number of licences, would be welcomed and, (ii) the permissive treatment received by licensing agreements with exclusive territories is justified.     

Institutionalism and New Trade Theory: Rethinking Comparative Advantage and Trade Policy

Gomory and Baumol (2000), and Samuelson (2004) have raised concerns about international trade’s future impact on U.S. national income. The focus is how globalization may affect the size and distribution across countries of gains from trade. Though their analysis is developed using a pure trade theoretical framework, it has strands in common with institutionalist thinking. Their findings spotlight the need for a new U.S. trade policy agenda aimed at maximizing the U.S. share of gains from trade, and complementing conventional Keynesian open economy macroeconomic analysis.     

On the efficiency of the negligence rule

The three versions of the negligence rule discussed in the literature differ regarding whether a negligent injurer is liable for the entire loss or only for the incremental loss; or regarding whether negligence is defined as failure to take at least due care or failure to take a cost‐justified precaution. It is shown in the paper that the incremental version with untaken precaution notion of negligence is not efficient; not even for the unilateral case. The paper also establishes, for the bilateral case, the efficiency of the incremental version with the shortfall‐from‐due‐care way of defining negligence.     

Impact of heart failure on hospital activity and healthcare costs in Belgium

Summary

Heart failure (HF) is a serious public health problem worldwide. It has a high prevalence, affects mainly the elderly and causes high mortality or disability with high economic costs. The aim of the present study was to calculate the number of admissions for HF, the total in-hospital stay, the mean length of in-hospital stay and the in-hospital costs due to HF in Belgium.

Retrospective analysis of data from the national hospital registration system provided the following results. In 2001, there were 19,398 admissions with HF as a primary diagnosis, with a total in-hospital stay of 286,938 days. The mean in-hospital stay for HF was 14.8 days. The total in-hospital cost of HF as a primary diagnosis was € 94,113,827, representing 1.8% of the total hospital expenditure.

The limitations of this study are its mere focus on admissions and their characteristics in 2001, and the use of a retrospective analysis. Nevertheless, it led to the conclusion that HF was responsible for a significant number of in-hospital days, with a significant impact on healthcare costs in Belgium.     

Nonparametric learning rules from bandit experiments: The eyes have it!

How do people learn? We assess, in a model-free manner, subjectsʼ belief dynamics in a two-armed bandit learning experiment. A novel feature of our approach is to supplement the choice and reward data with subjectsʼ eye movements during the experiment to pin down estimates of subjectsʼ beliefs. Estimates show that subjects are more reluctant to “update down” following unsuccessful choices, than “update up” following successful choices. The profits from following the estimated learning and decision rules are smaller (by about 25% of average earnings by subjects in this experiment) than what would be obtained from a fully-rational Bayesian learning model, but comparable to the profits from alternative non-Bayesian learning models, including reinforcement learning and a simple “win-stay” choice heuristic.     

A Classroom Tariff-Setting Game

The author outlines a classroom tariff-setting game that allows students to explore the consequences of import tariffs imposed by large countries (countries able to influence world prices). Groups of students represent countries, which are organized into trading pairs. Each group's objective is to maximize welfare by choosing an appropriate ad valorem tariff that may be changed intermittently throughout the game. The game is built on a computable general-equilibrium model, which allows each nation's utility and terms of trade under alternative tariff regimes to be expressed quantitatively. The exercise encourages students to consider terms-of-trade improvements and efficiency losses resulting from large-country tariffs and provides a framework to discuss the Nash equilibrium of a tariff war. The game is a useful supplement to traditional teaching methods.     

Gains From Trade for Nonmaterialists,Environmentalists, and the Overworked

The author proposes an alternative to the traditional definition of the gains from international trade and, hence, an alternative defense of free trade. Rather than showing that free trade allows a country to consume more of all final goods, the author's approach shows that free trade allows a country to consume the same basket of final goods that it would consume in autarchy but at a reduced cost measured in terms of foregone productive resources. Thus, free trade gives a country the option to maintain the same material standard of living that it would have enjoyed in autarchy while enjoying more leisure and using fewer natural resources in production.     

Street-level new public governances in integrated services-as-a-system

The paper explores the emergence of street-level public service integration in eight cities, in five countries using a new framework: services-as-a-system to explore new public governances in health and social care integration. Data is analysed from eight cities in six countries (Australia, Canada, The Netherlands, Spain, UK, and USA) gathered in over 100 semi-structured interviews with key agents. We show that whilst culture and context shape the form and processes of governances there are underlying processual drivers of new public governances, in particular where users are involved in the co-design and co-production of integrated services.     

iSDS: a self-configurable software-defined storage system for enterprise

ABSTRACT

Storage is one of the most important aspects of IT infrastructure for various enterprises. But, enterprises are interested in more than just data storage; they are interested in such things as more reliable data protection, higher performance and reduced resource consumption. Traditional enterprise-grade storage satisfies these requirements at high cost. It is because traditional enterprise-grade storage is usually designed and constructed by customised field-programmable gate array to achieve high-end functionality. However, in this ever-changing environment, enterprises request storage with more flexible deployment and at lower cost. Moreover, the rise of new application fields, such as social media, big data, video streaming service etc., makes operational tasks for administrators more complex. In this article, a new storage system called intelligent software-defined storage (iSDS), based on software-defined storage, is described. More specifically, this approach advocates using software to replace features provided by traditional customised chips. To alleviate the management burden, it also advocates applying machine learning to automatically configure storage to meet dynamic requirements of workloads running on storage. This article focuses on the analysis feature of iSDS cluster by detailing its architecture and design.     

Learning from R&D outsourcing vs. learning by R&D outsourcing

We analyze how research and development (R&D) outsourcing influences product innovation. We propose a separation between learning from R&D outsourcing, whereby the firm improves its ability to innovate by using outsourced R&D directly in new products, from learning by R&D outsourcing, whereby the firm indirectly uses outsourced R&D by integrating it with internal R&D to create new products. Building on the knowledge-based view, we argue that learning from R&D outsourcing is likely to have an inverse U-shaped relationship with product innovation, because the initial benefits of using outsourced component R&D knowledge to innovate products is eventually outweighed by the hollowing out of the firm's ability to innovate. In contrast, we propose that learning by R&D outsourcing is likely to have a U-shaped relationship with product innovation, because the initial challenges of integrating internal and external R&D are eventually overcome, resulting in more innovations. Finally, we distinguish between domestic and foreign R&D outsourcing and propose a liability of foreignness in R&D outsourcing as it has a lower impact on new products than domestic R&D outsourcing. The empirical analysis shows that outsourced R&D has an inverted U-shaped relationship with the number of new products, while the interaction between outsourced R&D and internal R&D has a U-shaped relationship with the number of new products. It also shows that domestic outsourced R&D has a higher positive impact on the number of new products than foreign outsourced R&D.