Competing engines of growth: Innovation and standardization

We study a dynamic general equilibrium model where innovation takes the form of the introduction of new goods whose production requires skilled workers. Innovation is followed by a costly process of standardization, whereby these new goods are adapted to be produced using unskilled labor. Our framework highlights a number of novel results. First, standardization is both an engine of growth and a potential barrier to it. As a result, growth is an inverse U-shaped function of the standardization rate (and of competition). Second, we characterize the growth and welfare maximizing speed of standardization. We show how optimal protection of intellectual property rights affecting the cost of standardization vary with the skill-endowment, the elasticity of substitution between goods and other parameters. Third, we show that, depending on how competition between innovating and standardizing firms is modelled and on parameter values, a new type of multiplicity of equilibria may arise. Finally, we study the implications of our model for the skill premium and we illustrate novel reasons for linking North–South trade to intellectual property rights protection.     

The Inflationary Consequences of a Currency Changeover on the Catering Sector: Evidence from the Michelin Red Guide*

This paper examines the inflationary consequences of a currency changeover in the catering market. Empirical evidence from the Michelin Red Guide shows that: (i) differently from restaurants in non‐euro countries, restaurants in the euro area experienced abnormal price increases just after the changeover; and (ii) among restaurants in the euro area, tourist restaurants are responsible for most of the abnormal price increases. These results suggest that proposed explanations for the changeover effect, such as menu adjustment and rounding up, are only part of the story. We present a simple model of the catering market that is consistent with the evidence.     

Quantitative aspects of economic and financial reform in the GDR

Quantitative aspects of economic and financial reform in the GDR     

A Semiparametric Analysis of the Term Structure of the US Interest Rates*

The short end of the US$ term structure of interest rates is analysed allowing for the possibility of fractional integration and cointegration. This approach permits mean‐reverting dynamics for the data and the existence of a common long run stochastic trend to be maintained simultaneously. We estimate the model for the period 1963–2006 and find it compatible with this structure. The restriction that the data are I(1) and the errors are I(0) is rejected, mainly because the latter still display long memory. This result is consistent with a model of monetary policy in which the Central Bank operates affecting contracts with short term maturity, and the impulses are transmitted to contracts with longer maturities and then to the final goals. However, the transmission of the impulses along the term structure cannot be modelled using the Expectations Hypothesis.     

Using users: When does external knowledge enhance corporate product innovation?

Prior research on corporate innovation highlights the importance of accessing external knowledge from other firms and universities. However, survey evidence indicates that product users are perhaps the most important source of external knowledge. We build on existing theory to identify the conditions under which user knowledge contributes to corporate innovation and when the benefits will be greatest. Using a panel dataset of medical device companies and their collaborative efforts with innovative physicians, we find evidence that inventive collaborations with users enhance corporate product innovation and that the benefits are greatest in new technology areas and in the generation of radical innovations. Copyright © 2013 John Wiley & Sons, Ltd.     

Does the nano-patent ‘Gold rush’ lead to entrepreneurial-driven growth? Some policy lessons from China and Japan

In this study we compare the nano-patent landscapes of China and Japan in order to assess how their structures (type, fragmentation and concentration of patent ownership) affect the organization of the nanotechnology industry. We also analyze technology policy in order to assess how these interventions support technology transfer and nano-exploitation through university–industry collaboration and technology entrepreneurship. Drawing upon 20,365 patent families related to carbon nanotubes from 1994 to present, we found that two dissimilar technology policies boosting national innovation system emerged: China is more focused on forging an anchor-tenant model, while Japan exhibits a more industry-oriented model through demand-side policy intervention. Implications for firms? strategies and policy makers are discussed.     

Beta-product dependent Pitman–Yor processes for Bayesian inference

Multiple time series data may exhibit clustering over time and the clustering effect may change across different series. This paper is motivated by the Bayesian non-parametric modelling of the dependence between clustering effects in multiple time series analysis. We follow a Dirichlet process mixture approach and define a new class of multivariate dependent Pitman–Yor processes (DPY). The proposed DPY are represented in terms of vectors of stick-breaking processes which determine dependent clustering structures in the time series. We follow a hierarchical specification of the DPY base measure to account for various degrees of information pooling across the series. We discuss some theoretical properties of the DPY and use them to define Bayesian non-parametric repeated measurement and vector autoregressive models. We provide efficient Monte Carlo Markov Chain algorithms for posterior computation of the proposed models and illustrate the effectiveness of the method with a simulation study and an application to the United States and the European Union business cycle.     

A Fuzzy Clustering Algorithm Based on the Analogy with Mechanical Physics: MeccFuz

This paper presents a new algorithm of fuzzy clustering, based on analogy withmechanics physics. The vectors x_i are compared with `material points' and the clusters can be looked on as material points clouds, that are characterized byspecific units. The choice is based on a study of potential energy. Once a specificunit is chosen, we calculated the membership of the other units whit respect it.A study of a sociology test is performed and the results are very encouraging,though an further deepening is needed like a thermodynamics analogy application.