The knowledge management strategy and the formation of innovative networks in emerging industries

This paper presents an agent-based simulation model with local network externality to analyze strategic interactions over investment on new economic knowledge. R&D knowledge flows and spillovers are the results of non-cooperative games played between neighboring agents in the model. The model demonstrates a situation where no agents have incentives to hide their economic knowledge, a situation that is observed in open source software development projects. The likelihood of obtaining a stable situation where new economic knowledge is openly shared is increased when heterogeneity of agents is introduced.      

Working Less and Bargain Hunting More: Macroimplications of Sales during Japan's Lost Decades

Standard New Keynesian models have often neglected temporary sales. In this study, we ask whether this treatment is appropriate. We use Japanese scanner data covering the last two decades and find a negative correlation between the frequency of sales and hours worked. We then construct a model that takes households' decisions regarding their allocation of time for work, leisure, and bargain hunting into account. We show that the decline in hours worked explains the rise in the frequency of sales. The real effect of monetary policy shocks weakens by around 40% due to temporary sales, but monetary policy still matters.     

GMO-free regions in Europe: an analysis of diffusion patterns

Genetically modified organisms (GMOs) have been a controversial issue in the European Union (EU). A growing number of member states and regions within the member states oppose the EU’s agro-biotechnology policy, resulting in a complex multi-level structure of policy-making. This study is interested in the regional opposition to GMOs and scrutinises the determinants of membership in the European Network of GMO-free Regions. In terms of theory, this study builds on the literature of policy diffusion. For the analytical purpose, we distinguish among four diffusion mechanisms: learning from earlier adopters, economic competition among proximate regions, imitation of economically powerful regions and deviation from national law. Our research questions are the following: How has membership developed since the foundation of the network? Which mechanisms explain the diffusion patterns observed? The empirical findings show that membership in the network has grown substantially between 2003 and 2014, which supports the general expectation that there is a diffusion of GMO-free regions. Yet, most new member regions are located in the same member states as the regions that founded the network. In other words, what is observed is intra-country diffusion rather than inter-country diffusion. The empirical findings provide support for the importance of learning from earlier adopters for the growing of the European Network of GMO-free Regions.     

Is protection really for sale? A survey and directions for future research

This paper critically and selectively surveys the literature on protection for sale and discusses directions for future research in this area. It suggests that the standard approach needs to be augmented to provide more compelling tests of this model.     

A New Method for Identifying the Effects of Foreign Exchange Interventions

Central banks react even to intraday changes in the exchange rate; however, in most cases, intervention data are available only at a daily frequency. This temporal aggregation makes it difficult to identify the effects of interventions on the exchange rate. We apply the Bayesian Markov‐chain Monte Carlo (MCMC) approach to this endogeneity problem. We use “data augmentation” to obtain intraday intervention amounts and estimate the efficacy of interventions using the augmented data. Applying this new method to Japanese data, we find that an intervention of 1 trillion yen moves the yen/dollar rate by 1.8%, which is more than twice as much as the magnitude reported in previous studies applying ordinary least squares to daily observations. This shows the quantitative importance of the endogeneity problem due to temporal aggregation.     

Menu Dependence and Group Decision Making

This paper is concerned with the problem of group decision making. We introduce the notion of a collective system rule. A collective system rule maps each preference profile to a group-preference system, which is a collection of social preferences on the subsets of the alternatives. By formulating the Arrovian conditions, we show the Arrow-type impossibility theorems. We also discuss how our approach is related to the standard group decision-making process.     

The dual attitudinal dynamics of public opinion: an agent-based reformulation of L. F. Richardson’s war-moods model

This study proposes a new model of public opinion dynamics, focused specifically on attitudes toward war. The model consists of citizen-agents who have dual (public and private) attitudes. While they change the two levels of attitude according to different rules of two-layered interactions with neighboring agents, they also change their own attitudes internally. Our model shows that public opinion has “meta-stable” states, which generate overlapping, or two-valued, stable states. This characteristic can explain how public opinion responds to the outbreak and continuation of war very differently, not just in our model, but also in the opinions of European citizens on the First World War and those of American citizens on U.S. wars after the Second World War.