Measuring the quality of managerial learning on the job

This article describes the development of an instrument to measure the quality of managerial learning on the job. The instrument can be used to analyse the quality of the individual learning process on the job. The literature shows that two factors determine the quality of the learning process: the learning potential of the job context and the way in which the manager approaches their work. So the instrument has two components. The first component measures the four types of work experience that offer potential opportunities for individual learning. These are transitions, task-related characteristics, obstacles and support. The second component, the so-called learning behaviour, analyses the way the individual approaches the potential learning opportunities present in the job. This can also be divided into four categories: emergent learning, planned learning, instruction-oriented learning and meaning-oriented learning. Based on these two components, an instrument has been developed to measure the quality of learning on the job. This has been shown to be valid and reliable in a sample of European managers.     

Neoliberalization,Housing Institutions and Variegated Gentrification: How the ‘Third Wave’ Broke in Amsterdam

Neil Smith argues that in the last two decades gentrification has become a generalized global urban phenomenon. His theory is at a high level of abstraction, as it links urban gentrification to globalization, financial capitalism and neoliberalization. With these global processes, all cities have experienced ‘third wave’ gentrification. The theory, however, leaves little room for variegations of gentrification, apart from characterizing geographical differences as idiosyncrasies or as minor variations. This downplays the role of intervening mechanisms that impinge upon the pursuit and social outcomes of gentrification. This article aims to amend abstract theory by looking at Amsterdam from a historical institutional perspective. In Amsterdam, gentrification was particularly made possible by a process of neoliberalization within the housing system. However, as institutional change is incremental and based on layering and conversion, many older institutional arrangements remain in place. These arrangements tend to slow gentrification and assuage social consequences. Nevertheless, neoliberal modifications to the housing system have been accelerating the pursuit of gentrification. Current policies will very likely lead to exclusionary displacement.     

When natural resources run out,market knowledge steps in: Lessons on natural resource deployment from a longitudinal study in a resource-scarce region of Ethiopia

With the increasing scarcity of natural resources, the ability to maintain quality standards during resource-scarce times becomes more critical for business performance. Theories on managing resource scarcity cannot be easily tested in contexts where resources are still abundant. This study therefore turns to an emerging market context in which natural resource availability naturally varies strongly between seasons, namely, that of Ethiopian pastoralists who for many generations learned to adapt to natural resource scarcity. Central to our theory is the natural resource deployment capability, which is the ability of a business to make efficient and effective use of available resources to maintain business performance during resource-scarce times. Using three-wave longitudinal data from 120 pastoral family-based livestock businesses, the study shows that when resources are scarce or extremely scarce, market knowledge helps to better deploy the scarce natural resources, leading to higher product quality. The findings imply that businesses with a better understanding of markets have stronger natural resource deployment capability. The lesson for businesses that are confronted with approaching resource scarcity is therefore to strengthen their ability to deploy resources efficiently and effectively by strengthening their market knowledge in which such capability is rooted.     

A Micro‐Decomposition Analysis of Aggregate Human Development Outcomes*

We show how differences in aggregate human development outcomes over time and space can be additively decomposed into a pure mean income (growth) component, a component attributed to differences in the distribution of income, and components attributed to ‘non‐income’ factors and differences in the model linking outcomes to income and non‐income characteristics. The income effect at the micro level is modelled non‐parametrically, so as to flexibly reflect potentially complex distributional changes. Our proposed method is illustrated using data for Morocco and Vietnam, and the results offer some surprising insights into the observed aggregate gains in schooling attainments.     

An experimental investigation of wage taxation and unemployment in closed and open economies

We investigate experimentally the economic effects of wage taxation to finance unemployment benefits for a closed economy and an international economy. The main findings are the following. (i) There is clear evidence of a vicious circle in the dynamic interaction between the wage tax and unemployment. (ii) Employment is boosted by budget deficits but subsequent tax rate adjustments to balance the budget lead to employment levels substantially lower than theoretically predicted. (iii) A sales risk for producers due to price uncertainty on output markets appears to cause a downward pressure on factor employment. For labor the wage tax exacerbates this adverse effect.     

Housing, taxation and retirement provision

This paper considers the tax treatment of housing and the issue of savings for retirement in the context of a simplified model that still allows key aspects of the household context to be realistically represented. A model is developed in which both housing and financial assets can be used as vehicles for household saving. Individuals face perfect capital markets and choose between owner-occupied and rented accommodations. For the model developed, it is shown that the tax advantage of owner-occupied housing is not fully removed even if imputed rents are subject to income taxation. However, deferred income taxation for both housing and savings in the form of financial assets would result in an equal treatment of tenants and owner-occupiers.     

Why do statistics journals have low impact factors?

In this paper, we answer the question why statistics journals get lower impact factors than journals in other disciplines. We analyze diffusion patterns of papers in several journals in various academic fields. To obtain insights into the diffusion of the citation counts of the papers, the data are analysed with the Bass model, leading to values for the time-to-peak that can be used to compare the speeds of diffusion paper citations of the different disciplines. Estimation results show that for statistics journals, it takes significantly more years to reach their peak. To further investigate diffusion, we also compute the percentages of the total number of citations a paper has after 2 or 3 years. Again, it appears that statistics journals have slower citation diffusion than journals in other disciplines. We conclude with some suggestions to reduce this disparity.     

Estimating structural equation models with non-normal variables by using transformations

We discuss structural equation models for non-normal variables. In this situation the maximum likelihood and the generalized least-squares estimates of the model parameters can give incorrect estimates of the standard errors and the associated goodness-of-fit chi-squared statistics. If the sample size is not large, for instance smaller than about 1000, asymptotic distribution-free estimation methods are also not applicable. This paper assumes that the observed variables are transformed to normally distributed variables. The non-normally distributed variables are transformed with a Box–Cox function. Estimation of the model parameters and the transformation parameters is done by the maximum likelihood method. Furthermore, the test statistics (i.e. standard deviations) of these parameters are derived. This makes it possible to show the importance of the transformations. Finally, an empirical example is presented.     

The endogeneity bias in the relation between cost-of-debt capital and corporate disclosure policy

Abstract

The purpose of this paper is twofold. First, we provide a discussion of the problems associated with endogeneity in empirical accounting research. We emphasize problems arising when endogeneity is caused by (1) unobservable firm-specific factors and (2) omitted variables, and discuss the merits and drawbacks of using panel data techniques to address these causes. Second, we investigate the magnitude of endogeneity bias in Ordinary Least Squares (OLS) regressions of cost-of-debt capital on firm disclosure policy. We document how including a set of variables which theory suggests to be related with both cost-of-debt capital and disclosure and using fixed effects estimation in a panel data-set reduces the endogeneity bias and produces consistent results. This analysis reveals that the effect of disclosure policy on cost-of-debt capital is 200% higher than what is found in OLS estimation. Finally, we provide direct evidence that disclosure is impacted by unobservable firm-specific factors that are also correlated with cost of capital.