Inflation Differentials in a Currency Area: Facts,Explanations and Policy

The determinants of inflation differentials in a currency area are analyzed both from an empirical and a theoretical perspective. The empirical analysis shows that a sizeable dispersion of HICP inflation rates across euro-area countries arises mostly in the components based on non-traded goods. There is also a significant cross-country heterogeneity in the response to changes in a common latent factor which accounts for a large fraction of the dispersion in national inflation rates. A stylized model of a currency area is used to understand the interrelation among shocks, structures and policies in driving the data generating process. The model shows that the dynamic of the inflation differentials is largely driven by the variability of productivity in the non-tradable sector of the more flexible economy. Conversely, the output differentials is largely driven by the variability in the productivity of the tradable sector, also of the more flexible economy. Optimal policy is investigated together with an analysis of the optimal adjustment to adopting a common currency with initial incorrect real exchange rate parity.     

Innovation and business research in Latin America: An overview

Innovation in Latin America is a challenge for achieving development. Several Latin American countries and businesses are attempting to increase innov ation and entrepreneurship but they face substantial challenges and difficulties. Institutional, governmental and business policies and practices need to be enhanced in order to increase such innovation. Increasing business research in Latin America and university-business partnerships is probably key in such endeavor. This special issue provides some evidence regarding these challenges at the company level, industry level, and country level. This issue also includes three cases showing Latin American company experiences with financial, marketing and new product innovations and market changes.     

Impact of the alternate wetting and drying (AWD) water-saving irrigation technique: Evidence from rice producers in the Philippines

This article evaluates the impacts of a controlled irrigation technique in rice production called alternate wetting and drying (AWD). Propensity score matching (PSM) and regression-based approaches applied to farm-level survey data are used to achieve the objective of the study. The PSM and regression-based approach accounts for the potential bias due to selection problems from observable variables. Results of the impact analysis using both empirical approaches indicate that AWD, particularly the “Safe AWD” variant, reduces the hours of irrigation use (by about 38%), without a statistically significant reduction in yields and profits. This reduction in irrigation time translates to corresponding savings in the amount of irrigation water and pumping energy used. However, further analysis of the impact estimates suggests that the potential magnitude of the selection bias based on unobservable variables may still be able to eliminate the measured impact from the PSM and regression-based techniques that only control for selection based on observable variables. Hence, the current impact results have to be interpreted with caution and further data collection is needed to construct a panel data that would allow one to account for selection problems due to unobservable variables and, consequently, better estimate the AWD impact.     

Risks of the German Power Supply System

The German power supply system is experiencing a phase of radical change. The insurance industry designed this transformation not only as a property insurance donor, but also as an institutional investor. The emphasis of this commitment is based on their own assessment of the risks to which this supply system has been exposed. This study compares risk assessment designs from the insurance industry with that from technical network managers and shows in which the assessments significantly differ. For example, the insurance company’s risk assessment of natural disasters and cyber-attacks is much greater in terms of probability of occurrence and the potential of damage than the assessment of energy experts.     

Stochastic vs. deterministic frontier distance output function: Evidence from Brazilian higher education institutions

Journal of Productivity Analysis - Using data from the Brazilian Higher Education Census and other public institutions, this study aims to obtain and compare efficiency scores from stochastic...     

Remarks on a copula-based conditional value at risk for the portfolio problem

We deal with a multivariate conditional value at risk. Compared with the usual notion for the single random variable, a multivariate value at risk is concerned with several variables, and thus, the relation between each risk factor should be considered. We here introduce a new definition of copula-based conditional value at risk, which is real valued and ready to be computed. Copulas are known to provide a flexible method for handling a possible nonlinear structure; therefore, copulas may be naturally involved in the theory of value at risk. We derive a formula of our copula-based conditional value at risk in the case of Archimedean copulas, whose effectiveness is shown by examples. Numerical studies are also carried out with real data, which can be verified with analytical results.