Benchmarking Tendencies in Managerial Mindsets: Prioritizing Stockholders and Stakeholders in Peru, South Africa, and the United States

Managers in Peru, South Africa, and the United States were classified into four groups along Singhapakdi et al. (J Bus Ethics 15:1131–1140, 1996) Perceived Role of Ethics and Social Responsibility (PRESOR) scale. In Peru and the United States, individuals in the ethics and social responsibility first category reported greater satisfaction with organizational performance than did those in the profits first category. Moral capitalists—individuals who report high emphases on both social responsibility and profits—reported the highest satisfaction with performance in the United States. Managers in the United States are more likely than their counterparts in Peru and South Africa to reject the mutual exclusivity of prioritizing social responsibility and profits simultaneously. Directions for future research are outlined.     

Inflation Linkages Within The Eurozone: Core vs. Periphery

We examine the process of inflation transmission among GIIPS countries (Greece, Ireland, Italy, Portugal and Spain) and Germany. Our findings suggest that inflation spillovers have increased since 2001. We also find that peripheral economies are (dis‐)inflation transmitters to the core. This finding is significant for policy formulation, given the very low inflation environment that currently exists in the Euro area and the macroeconomic implications that arise from this.     

Sample attrition in the RLMS, 2001–10

The data of the Russian Longitudinal Monitoring Survey (RLMS) – Higher School of Economics represents one of the few nationally representative sources of household and individual data for Russia. These data have been collected since 1992 and in recent years, thanks to more secure financial and logistical support, have become a resource increasingly drawn upon by scholars and students for national and cross-national studies. In this paper, we examine the extent of non-random attrition in the RLMS and discuss the circumstances under which this might give rise to biases in econometric analysis. We illustrate this with an example drawn from the health sphere.