War,food rationing,and socioeconomic inequality in Germany during the First World War

Germany experienced a devastating period during the First World War due to severely restricted import possibilities and a general shortage of foodstuffs. This study uses the heights of some 4,000 individuals who served during the Second World War to quantify biological living standards from the 1900s to the 1920s, and focuses primarily on socioeconomic inequality during this period. The results suggest that generally the upper social strata, measured by fathers' occupation, exhibited the tallest average height, followed by the middle and lower classes. These socioeconomic differences became more pronounced during the First World War when the rationing system provided a limited food supply. Wealthier individuals were able to purchase additional foodstuffs on black markets. Therefore, children from upper‐class families experienced only a small decline in average height compared to their counterparts from the middle and lower social strata.     

A model of vertically differentiated education

We analyze the allocation of students who differ in their ability to two school types. We assume that there are peer effects (students learn more the better their classmates) and that the expected income after school also depends on the average productivity of peers. We derive the allocation under free school choice and decentralized determination of the academic level; we show that, compared to the social optimum, the level is suboptimal and too many students attend the better school type. A social planner can improve on the allocation under free school choice by prescribing a higher academic level.     

How do MNCs establish their talent pools? Influences on individuals’ likelihood of being labeled as talent

Addressing the research question of what influences the likelihood of an individual being labeled as ‘talent’ in MNCs, this paper seeks to understand the decision processes involved in the identification of MNC-internal talent. We develop a framework suggesting that the decision to include an employee in a corporate talent pool is a two-stage decision process in which mostly experience-based (on-line) performance appraisal evaluations are used as an input in largely cognition-based (off-line) managerial decision making. Consequently, talent pool inclusion is determined not only by performance appraisal evaluations, but also a number of factors that influence the decision making in the second stage of the talent identification process. Using empirical insights from an in-depth case study as illustrations, we identify three such factors—cultural and institutional distance between the locations of a potential member of the talent pool and the decision makers; homophily between the individual and the decision makers; and the network position of the person in question.     

The productivity effects of stock option schemes: evidence from Finnish panel data

In this study we investigate the productivity effects of employee stock option schemes. We estimate Cobb-Douglas production functions by using new panel data for all Finnish publicly listed firms during 1992–2002. The data enable us to distinguish broad-based option plans, for which all employees are eligible, from those selectively allocated to particular employees. For both type of schemes, our baseline fixed effects estimators consistently find statistically insignificant associations with firm productivity. When endogeneity of production inputs and option-schemes are taken into account we continue to find no evidence of a link with firm productivity. Our main findings are consistent with hypotheses that predict negligible effects of option plans for enterprise performance, such as those based on free riding, psychological expectancy theory, accounting myopia, or rent-seeking. We consider reasons why our empirical findings on the impact of broad-based options differ from those found in earlier studies.     

Integrating neighbourhood effects in the calculation of optimal final tree diameters

Modern silvicultural treatments are based on single trees whereas classic forest economics look at the stand level. To accompany each other it is necessary to transfer the established economic models to the single tree level. This paper is an approach to use the Faustmann model and the corresponding marginal rate of return (Pressler percent) to derive value increment rates of single trees taking into account neighbourhood effects due to competition between individual trees. Furthermore, optimal rotation periods and optimal final diameters for future trees will be calculated.