Protecting Innovation Through Patents and Trade Secrets: Evidence for Firms with a Single Innovation

Abstract

This paper analyzes the use and effectiveness of patents and trade secrets designed to protect innovation. While previous studies have usually considered patents and trade secrets as substitutes for one another, we investigate to what extent and in what situations the two protection methods are used jointly. We identify protection strategies for single innovation firms and hence overcome the assignment problem of existing empirical studies, that is, whether firms using both protection methods do so for the same innovation or for different innovations. Employing firm panel data from Germany, we find fairly few differences between the determinants for choosing secrecy and patenting. Single innovators that combine both strategies, 39% of the group, tend to aim at a higher level of innovation and act in a more uncertain technological environment. Firms combining both protection methods yield significantly higher sales with new-to-market innovations, providing some evidence for a complementarity of the two protection methods.     

Combination schemes for turning point predictions

We propose new forecast combination schemes for predicting turning points of business cycles. The proposed combination schemes are based on the forecasting performances of a given set of models with the aim to provide better turning point predictions. In particular, we consider predictions generated by autoregressive (AR) and Markov-switching AR models, which are commonly used for business cycle analysis. In order to account for parameter uncertainty we consider a Bayesian approach for both estimation and prediction and compare, in terms of statistical accuracy, the individual models and the combined turning point predictions for the United States and the Euro area business cycles.     

The Link between Institutional and Economic Integration: Insights for Latin America from the European Experience

The European experience illustrates that institutional integration interacts with economic integration at the regional level. In this paper we ask how economic and institutional integration are linked and whether there is a causal link between the two. We present an original indicator of institutional integration and study how it developed vis-à-vis diverse measures of economic integration. In particular, we ask what insights can be drawn from the European process of regional integration, which started in the 1950s, for regional integration in Latin America today. We find that Latin America is currently less economically integrated not only than the European Union today, but for certain economic variables even than the European Union in the 1960s. A VAR analysis illustrates that the link between institutional and economic integration has worked both ways throughout the European experience. There is also evidence that stronger institutional integration has indeed led to deeper economic integration.     

Performance pay and changes in U.S. labor market dynamics

A shift in the design of labor compensation occurred at around the mid-1980s in the U.S. and deals with an increased role of performance pay in driving the cyclical movements of wages. Using a DSGE model we show that this structural change accounts at least qualitatively for many observed changes in the U.S. labor market dynamics. It generates the disappearance of the procyclical response of labor productivity to non-technology shocks and the reduction of the contractionary effects of technology shocks on hours. Moreover, it is conducive to a drop in the volatility of output, a parallel increase in the volatility of wages and to changes in unconditional correlations consistent with what documented in the U.S. between the pre- and post-1984 periods.     

Disclosure as a tool in stakeholder relations management: a longitudinal study on the Port of Rotterdam

This study applies stakeholder management principles to the port domain. We provide a conceptual framework for evaluating the communication strategies a (landlord) Port Authority (PA) relies on in the management of its relevant stakeholders and the adoption of disclosure to critical issues. The theoretical arguments are supported by empirical evidences from the Port of Rotterdam (PoR), i.e. a major port which leverages disclosure to successfully manage stakeholders and support the implementation of corporate strategy. The research questions are addressed using a content analysis on the annual reports (ARs) of PoR in the period 2000–2012. The overall research design enables the investigation of PA disclosure as a tool for managing the evolving interests of stakeholders from a longitudinal perspective. The PoR case shows that the relative importance of topics reported in the ARs change over time, as a result of external pressures and internal key events. The outcomes demonstrate the growing attention of PoR on topics relevant to the broader community (e.g. environment and safety/security) after a period characterised by a prominent focus on financial and governance issues. Besides, key breakthrough forces stimulating the shifts in landlord communication strategies are identified and discussed. Finally, by suggesting an indirect approach to evaluate how PA prioritises its salient stakeholders, the paper adds to extant port literature and brings methodological implications.     

Firm ownership and productivity: a study of family and non-family SMEs

Motivated by a lack of consensus in the current literature, the objective of this paper is to reveal whether family firms are more or less productive than non-family firms. As a first step, this paper links family business research to the theoretical notion that family involvement has an effect on the factors of production from a productivity standpoint. Second, by using a Cobb–Douglas framework, we provide empirical evidence that family labour and capital indeed yield diverse output contributions compared with their non-family counterparts. In particular, family labour output contributions are significantly higher, and family capital output contributions significantly lower. Interestingly, differences in total factor productivity between family and non-family firms disappear when we allow for heterogeneous output contributions of family production inputs. These findings imply that the assumption of homogeneous labour and capital between family and non-family firms is inappropriate when estimating the production function.     

Social Network and Weight Misperception among Adolescents

It is recognized that public health intervention targeted toward changing lifestyle behaviors to reduce overweight status is a considerable challenge. It is important that individuals recognize their overweight status as a health risk in order for an effective change in lifestyle behaviors to occur, and growing evidence suggests that actual weight and perception of weight status often do not match, especially among adolescents. In this article, we explore the extent to which exposure to heavier peers and parents affects misperception of their own weight status by adolescents. Using data from a nationally representative sample of adolescents, we estimated instrumental variable models with school‐level fixed effects to account for bidirectionality of peer influence and environmental confounders. Our results indicate that individuals who live in an environment that exposes them to overweight/obese parents and heavier peers tend to misperceive their weight status and think of themselves to be of lower weight than they actually are. Our analysis also revealed differential effects by gender and type of peers.     

Accurate Short-Term Yield Curve Forecasting using Functional Gradient Descent

We propose a multivariate nonparametric technique for generatingreliable short-term historical yield curve scenarios and confidenceintervals. The approach is based on a Functional Gradient Descent(FGD) estimation of the conditional mean vector and covariancematrix of a multivariate interest rate series. It is computationallyfeasible in large dimensions and it can account for nonlinearitiesin the dependence of interest rates at all available maturities.Based on FGD we apply filtered historical simulation to computereliable out-of-sample yield curve scenarios and confidenceintervals. We back-test our methodology on daily USD bond datafor forecasting horizons from 1 to 10 days. Based on severalstatistical performance measures we find significant evidenceof a higher predictive power of our method when compared toscenarios generating techniques based on (i) factor analysis,(ii) a multivariate CCC-GARCH model, or (iii) an exponentialsmoothing covariances estimator as in the RiskMetrics^TM approach.