Sequential and multinomial logit: A nested model

A nested model is presented which has both the sequential and the multinomial logit model as special cases. This model provides a simple test to investigate the validity of these specifications. Some theoretical properties of the model are discussed. During the analysis a distribution function is derived, which, to the best of our knowledge, has not been used before. This distribution is shown to be a generalization of the typeI extreme-value distribution. Monte Carlo experiments and empirical applications of the model are presented.     

Vertical integration as a remedy for imbalances in the ‘Porterian’ value system. The Dutch financial securities industry at the beginning of the 20th century

The way of accounting for vertical integration, of this paper is based on the ‘Porterian’ value system and focuses on the relation between the creation and appropriation of value. The essence of a value system is that at each stage in the system value is created and added to the value created at previous stages. We propose that firms which are unable to appropriate the value they create at the stage they currently inhabit, would find it advantageous to integrate vertically towards stages offering a more attractive relation between value appropriation and value creation. This argument will be illustrated here by the case of a large Dutch bank that integrated vertically towards securities trading.     

Enhancing the application of experiential marketing in the arts

While experiential marketing has become a cornerstone of recent advances in retailing, branding and events marketing, there is potential for its application in arts marketing to be extended and improved. The two main goals of this paper are to introduce and explain the Pine and Gilmore experiential marketing framework[Pine, II, B. J. and Gilmore, J. H. (1999) ‘The Experience Economy’, Harvard Business School Press, Boston.] and its relevance to arts marketing; and to discuss the implications of Pine and Gilmore's work for two specific areas of arts marketing: the unique dimensions of the arts experience, and the strategic and tactical steps involved in staging an experience. Copyright © 2004 Henry Stewart Publications     

Cost-effectiveness of foreign aid programs in the baltics

After the upheavals in Central and Eastern Europe in the late 1980s and early 1990s, the Western world has given considerable aid to the fledgling democracies. In this paper we draw a summary from Baltic experience in the fields of educational programs, scientific and environmental programs, and commercial projects in banking, taxation, and energy. We analyze the motivation and identify different possible effects of foreign aid. We signal possible inefficiencies arising from the lack of coordination of foreign aid, deal with possible waste as being a form of loss in cost-effectiveness, and address the policies followed by aid-providing agencies. Finally, we suggest ways that can help to achieve cost-effectiveness by assisting the donor and recipient in maximizing benefits gained and possibly reducing costs.     

Dividend timing and behavior in laboratory asset markets

Summary. This paper investigates the effect of dividend timing on price bubbles and endogenous expectations in twenty-six laboratory asset markets. In ten "A1" markets, a single dividend is paid at the end of the trading horizon. In nine "A2" markets, dividends are paid at the end of each trading period. In seven "A3" markets, some of the dividends are paid at the end of the trading horizon, and the rest are paid on a per-period basis. The results indicate that price bubbles are most likely in A2 markets, less likely in A3 markets, and least likely in A1 markets. Six distinct hypotheses are considered. The data suggest that the concentration of dividend value at a single point in time helps to create common expectations, and thus significantly reduce the incidence of bubbles. Also, the results underscore the difficulty facing econometric tests on field data where fundamental value has to be approximated.     

Conditional Cooperation and Voluntary Contributions to Public Goods

We compare a partners condition , where the same small group of subjects plays a repeated public good game, to a strangers condition , where subjects play this game in changing group formations. From the first period onward, subjects in the partners condition contribute significantly more to the public good than subjects in the strangers condition. Strangers' contributions show continual decay, while partners' contributions fluctuate on a high level prior to decreasing in the final periods. We interpret subjects' behaviour in terms of conditional cooperation which is characterized by both future-oriented and reactive behaviour.
JEL classifications: C 91; C 92; H 41     

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.     

Talent — Innate or acquired? Theoretical considerations and their implications for talent management

In order to contribute to the theoretical understanding of talent management, this paper aims to shed light on the meaning of the term ‘talent’ by answering the following question: Is talent predominantly an innate construct, is it mostly acquired, or does it result from the interaction between (specific levels of) nature and nurture components? Literature stemming from different disciplines has been reviewed to summarize the main arguments in support of each of the three perspectives. Subsequently, these arguments are mapped on a continuum ranging from completely innate to completely acquired. We argue that an organization's position on this continuum entails important implications for its design of talent management practices, which we discuss extensively. By providing guidelines on how an organization's talent management system can be shaped in accordance with their respective talent definition, this paper is particularly useful to HR practitioners.     

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.