Multivariate multiple regression modelling for technology analysis

Technology analysis is important for technology management areas such as research and development strategy and new product development. So many studies on technology analysis have been used across a diverse array of fields. Most of these were based on patent analysis, which analyses patent documents using text mining and statistics. The studies on conventional patent analyses constructed models consisting of various independent variables (technologies) and one dependent variable. But in reality, we have to consider a model that includes several dependent variables at the same time, because most technologies influence each other. In this paper, we propose a methodology for patent analysis that reflects the various response technologies simultaneously. We perform multivariate multiple regression modelling in order to efficiently conduct our technology analysis. To show how our modelling can be applied to realistic context, we carry out a case study using the patent documents related to three-dimensional printing technology.     

History and Class Consciousness. Studies in Marxist Dialectics

Max Weber and Thorstein Veblen were two of the major contributors in the field of economics and sociology in the beginning of twentieth century. This paper argues that the works of both authors underline a "rationalization process" that occured in Western societies. We compare the respective analyses of Weber and Veblen on this subject. Despite a formal similarity, the analysis manifests some major divergences concerning the nature and the significance of the rationalization process. We suggest that the major divergences originate in the philosophical and epistemological foundations of the work of each author.     

Trading with Neighbors: Regional Stock Exchange Integration—The Mercado Integrado Latinoamericano

ABSTRACT

Who gains from the regional integration of stock exchanges? Exploring this question can identify motivators driving stock exchange integration between countries, and contribute to the wider debate whether such perceived gains are likely. This article examines the Latin American Integrated Market (MILA), currently comprised of Chile, Colombia, Mexico, and Peru. The plan, process, and difficulties facing MILA are examined. We conclude that investors from the region appear poised to reap the greatest rewards in the long-term, while regional brokers and investors, especially those based in Peru, have benefited most from the operation of MILA since 2011.     

Does Democracy Have a Different Impact on Corruption in Africa?

The author investigates the relationship between corruption and the newer proxies of democracy for African countries. The regression results suggest that countries that are relatively more democratic are also less corrupt. Of the different aspects of democracy examined, the functioning of government and political participation are found to be significantly correlated with corruption. The estimates suggest that countries with functioning and efficient governments and healthy political competition are less corrupt. Unlike the early empirical studies, the evidence of a nonlinear relationship between corruption and the new proxies of democracy is weak, especially after controlling for other factors and correcting for the endogeneity problem. Our results suggest that ethnolinguistic fractionalization and the level of development are also important determinants of the level of corruption in Africa.     

Information acquisition, dissemination, and transparency of monetary policy

Abstract.  This paper examines the role of transparency in a benevolent monetary authority's policies. Each firm's payoff depends on unobservable macroeconomic conditions and firms may incur a cost to acquire private information about macroeconomic conditions. The policy authority attempts to infer the underlying macroeconomic conditions from a noisy measure of aggregate actions and makes a public announcement to inform firms of this inference. High-quality announcements provide firms the incentive not to gather private information and base actions solely on information contained in policy announcements. However, this makes the observed actions of firms less informative to the policy authority.     

In search of stars: Network formation among heterogeneous agents

This paper reports results from a laboratory experiment on network formation among heterogeneous agents. The experimental design extends the Bala–Goyal [Bala, V., Goyal, S., 2000. A non-cooperative model of network formation, Econometrica 68, 1131–1230] model of network formation with decay and two-way flow of benefits by introducing agents with lower linking costs or higher benefits to others. Furthermore, agents' types may be common knowledge or private information. In all treatments, the (efficient) equilibrium network has a “star” structure. While equilibrium predictions fail completely with homogeneous agents, star networks frequently occur with heterogeneous agents. Stars are not born but rather develop: with a high-value agent, the network's centrality, stability, and efficiency all increase over time. A structural econometric model based on best response dynamics and other-regarding preferences is used to analyze individual linking behavior. Maximum-likelihood estimates of the underlying structural parameters, obtained by pooling data from several treatments, allow us to explain the main treatment effects.     

Macroeconomic Policy Interaction under EMU: A Dynamic Game Approach

In this article, we study macroeconomic stabilization in the Economic and Monetary Union (EMU) using a dynamic game approach. With the aid of a stylized macroeconomic model, this article analyzes the transmission and interaction of national fiscal policies and monetary policy of the European Central Bank (ECB) in the EMU. A special focus is on the effects of labor market institutions in the participating countries and of the introduction of fiscal stringency criteria like those imposed in the Stability and Growth Pact.     

From sponsorship to partnership in academy-industry relations

One practical result of the advent of the knowledge society has been an increased reliance on academic-industry partnerships as important sources for the creation of economic value. This paper argues that this renewed emphasis on knowledge has led to a shift in the nature of the relations between the academy and industry from sponsorship to partnership and the formation of new research institutions that allow researchers and practitioners to engage in continuous rather than problem based dialogue. These developments are illustrated by providing a case study based on the experience of one research team with its industrial partners. The paper presents results pertaining to some of the issues and challenges raised by continuous dialogue in partnerships, and emphasises the creative yet demanding implications of close collaboration between the two communities.     

Understanding the trend to mobile-only internet connections:A decomposition analysis

A growing portion of internet users rely solely on mobile devices such as smartphones for their online access. The percentage of “mobile-only” households increased from 9% in 2011 to 20% in 2015, more than doubling in only four years. As this shift continues, it leads to the question of what factors are driving the rise in mobile-only adoption. Using nationally representative data, this study uses logistic regressions and a decomposition technique to understand the trend. The decomposition reveals that a significant portion (65%) of the growth was due to an increase in the download speeds of mobile networks. An increased acceptance of mobile-only access by households aged 55 and older was also partly responsible. Understanding (and developing a response to) the trend towards mobile-only adoption will be important as organizations and governments continue to work to close the digital divide.