Should I stay or should I go? An econometric analysis of retirement decisions by couples

This article analyses retirement decisions from a household perspective, treating the retirement timing of spouses as potentially interdependent choices. To identify the determinants of retirement decisions by couples and the effects of spousal retirement, this research estimates bivariate probit models in a multi-country setting. The results show a significant joint retirement trend: both men and women are more likely to retire if their spouse already has retired. Strong asymmetric behaviours arise by gender though, with high crosscountry heterogeneity, reflecting institutional differences in both pension and public health systems.     

A women’s boom in the boardroom: effects on performance?

This article analyses whether improving gender diversity in boardrooms improves firms’ economic performance. In the context of French CAC40-listed companies between 2008 and 2012, this research uses instrumental variable panel regressions, including production frontier estimates, to arrive at two key results. First, gender diversity in boards depends on firms’ attributes including their previous gender promotion strategies. Second, promoting women in boardrooms has a significant and positive effect on economic performance while accounting for the endogeneity boards’ gender diversity. Gender diversity even reduces corporate inefficiencies and enables firms to come closer to their optimal performance.     

When technological discontinuities and disruptive business models challenge dominant industry logics: Insights from the drugs industry

An industry's dominant logic is the general scheme of value creation and capture shared by its actors. In high technology fields, technological discontinuities are not enough to disrupt an industry's dominant logic. Identifying the factors that might trigger change in that logic can help companies develop strategies to enable them to capture greater value from their innovations by disrupting that logic. Based on analyzing the changes that biotechnologies and bioinformatics have brought to the drug industry, we identify and characterize three triggers of change that can create disruptive business models. We suggest that, in mature industries experiencing strong discontinuities and high technological uncertainty, entrants' business models initially tend to fit into the industry's established dominant logic and its value chains remain unchanged. But as new technologies evolve and uncertainty decreases, disruptive business models emerge, challenging dominant industry logics and reshaping established value chains.     

Does Productivity Decline After Promotion? The Case of French Academia*

The present research examined the effect of promotion decisions on ex‐post productivity in French academia. As, once promotion decisions are known, most external incentives vanish for promoted candidates, their productivity was expected to decrease. This hypothesis was tested by using an original dataset and matching methods to evaluate the impact of promotion on publication scores. The robustness of the matching estimates was tested using sensitivity analysis. The results clearly show that the removal of extrinsic incentives following promotion does not lead to a fall in productivity in French academia.     

The acquisition and utilization of technical information by administrative agencies.

Through a review and integration of the heretofore rather distinct literatures dealing with (1) policy making in administrative agencies, (2) the use of scientific and technical information in public policy, and (3) the utilization of policy research, this paper develops preliminary conceptual frameworks of the variables affecting the acquisition and the utilization of technical information by administrative agencies. Although previous research, based largely upon case studies of a few decisions within a single agency, has resulted in numerous bivariate hypotheses, the number of variables involved and recognized problems of generalizing the results suggest that future research be oriented toward a number of strategies capable of simultaneously examining the effect of numerous variables over large numbers of cases.