Causes of corruption: a survey of cross-country analyses and extended results

We survey and assess the empirical literature on the sources of corruption Thanks to the improved availability of data, we are able to produce an improved cross-country econometric model to test well-established and more recent hypotheses jointly. We do not find that the common law system, or a past as a British colony predicts corruption. Our results support cultural theories on the causes of corruption, and suggest that a medium-long exposure to uninterrupted democracy is associated with lower corruption levels, while political instability tends to raise corruption. Our results also suggest that the diffusion of newspapers helps to lower corruption levels.      

Does the ideal entrepreneurial team exist?

Up until now, studies on entrepreneurs and their relationship to business performance have focused primarily on analyzing the entrepreneur as an individual. While studies have been conducted on the entrepreneurial team, their focus has centered on team size and degree of diversity - cultural, age, gender - leaving a gap in the analysis of the effect of a team’s competencies on the outcome of the ventures. This research aims to help fill this gap by using the psychometric instrument DISC. This research analyzes entrepreneurship by opportunity, evaluating the performance of 109 Colombian companies and the composition of their entrepreneurial teams. The results obtained provide the basis for better understanding of the make-up of entrepreneurial teams, considering the variances and interdependencies of the competency development level among their members. They reveal that identifying the similarity or heterogeneity in certain groups of competencies, as well as how developed they are, can have an impact on the ventures’ success. The cluster analysis carried out suggests that highly developed competencies associated with the ‘dominance’ dimension in the members of an entrepreneurial team are essential. These must be above-average in heterogeneous levels among the team members. They must also be accompanied by the ‘steadiness’ competency provided by the team-oriented partners, as well as an average, homogeneous level of competencies associated with ‘conscientiousness’ if the new business is to achieve good financial results in its early years. The ‘influence’ dimension did not play a significant role. The teams made up of more homogeneous partners obtained the poorest financial results. Furthermore, the study provides new perspectives for measuring business performance in a venture, as well as for evaluating the relationships between the entrepreneurial team's competencies and the company’s results in the first years of business. Accordingly, it offers inputs for future research.

     

Early Evolution of the Assumption of Non-satiation

The paper explores the mostly tacit transmission of the assumption of non-satiation from the outset of classical political economy to the advent of marginal analysis in Great Britain. The evolution of the assumption is traced back to contributions to the philosophy of mind in the early British enlightenment, which provided scientific ground not only to the economic agent's insatiable nature but also to a delusional dynamic of association that challenges the causality between acquisitiveness and pleasure. The paper claims that, because there is evidence that such delusional aspect was known to the early political economists, the assumption of non-satiation might have become a mainstay in economics not only for its scientific status but also as a result of a strategic choice that can only be explained within the political, cultural, and social context in which it was made. Had this been the case, the exportability of the assumption through time and space must be further questioned. The consistent inclusion of non-satiation in economic theories, policies, and institutions may have had extraordinary consequences, and may have nurtured rational behaviors that in fact fulfill the assumption itself.     

Split bond ratings and rating migration

This paper examines the relationships between split ratings and ratings migration. We find that bonds with split ratings are more likely to have future rating changes. A one-notch (more-than-one-notch) split rating increases the probability of rating change within one year of initial issuance by about 3% (6%). Furthermore, we find that about 30% of split rated bonds have their two ratings converge after four years of initial issuance. The rating convergence tapers off after three years, and the rating agency with a higher (lower) initial rating generally maintains a higher (lower) rating in subsequent years if the two ratings do not converge. We also show that rating transition estimation can be improved by taking into consideration split ratings. We find that one-year rating transition matrices are significantly different between non-letter-split rated bonds and letter-split rated bonds, and we show that the difference has an economically significant impact on the pricing of credit spread options and VaR-based risk management models. Overall, our results suggest that split ratings contain important information about subsequent rating changes.     

Revisiting the European Monetary System Experience: Were Some Members More Equal than Others?

Difficulties in implementing effective liquidity support – to counter speculative attacks – may partly explain why regional exchange rate agreements crawl regional trade integration. Our novel analysis of the European Monetary System confirms that liquidity support was provided under the discretion of the anchor country (Germany), and was indeed asymmetric across member countries and/or periods. In particular, it was less forthcoming (i) to countries further away from Germany (less politically influential there), (ii) to larger countries (interfering more with the Bundesbank's monetary control) and (iii) during periods when German inflation accelerated (and the Bundesbank needed a firmer grip on liquidity).     

An N‐factor Gaussian model of oil futures prices

This article studies the ability of an N‐factor Gaussian model to explain the stochastic behavior of oil futures prices when estimated with the use of all available price information, as opposed to traditional approaches of aggregating data for a set of maturities. A Kalman filter estimation procedure that allows for a time‐dependent number of daily observations is used to calibrate the model. When applied to all daily oil futures price transactions from 1992 to 2001, the model performs very well, requiring at least three factors to explain the term structure of futures prices, but four factors to fit the volatility term structure. The model also performs very well for daily copper futures transactions from 1992 to 2001 and for out‐of‐sample daily oil futures transactions from 2002 to 2004. © 2006 Wiley Periodicals, Inc. Jrl Fut Mark 26:243–268, 2006     

Inter‐firm R&D collaborations and green innovation value: The role of family firms' involvement and the moderating effects of proximity dimensions

The present paper investigates the relationship between the involvement of family firms in R&D collaborations aimed at developing green solutions and the value of resulting innovations. To dig into this relationship, the moderating effects of two proximity dimensions (i.e., geographical distance and technological relatedness) are also assessed. Analyses are based on a sample of 156 joint patents classified into the “Alternative energy production” field, as defined by the International Patent Classification Green Inventory and successfully filed at the United States Patent and Trademark Office in the period 1997–2010 by publicly listed companies. According to our conjectures, results reveal a positive relationship between the involvement of family firms and green innovation value. Moreover, our findings show that this relationship is hindered when partners are geographically distant or technologically proximate. Eventually, we contribute to the literature on green innovation by unveiling under which conditions inter‐firm R&D collaborations lead to more valuable innovations.     

State dependence and unobserved heterogeneity in the employment transitions of the over-50s

This paper examines employment transitions among men and women in the UK aged between 50 and the state pension age. We use a fourth order Markov model to estimate quarterly transitions while allowing for potential endogeneity of initial conditions. The results reject exogeneity of initial conditions and show the importance of state dependence. We compare the results to those obtained with a younger sample and find evidence of a sorting process over the life-cycle whereby men’s employment transitions are increasingly characterized by state dependence while, for women, unobserved heterogeneity becomes more important. We discuss some potential policy implications of the results.     

The problem of employees' network centrality and supervisors' error in performance appraisal: A multilevel theory

This article reveals an unexplored paradox for HR managers: the centrality of an employee in the social network benefits performance but hampers performance appraisal because it affects supervisors' rating errors. Central employees can be erroneously rated high on performance even when they are not high performers because supervisors tend to overappraise their performance. A distinction is made between rating precision, which depends on supervisors' uncertainty regarding employees' performance, and rating accuracy, which depends on supervisors' bias in favor of employees. Employee centrality is posited to be beneficial to precision but deleterious to accuracy because it regulates the diffusion of positive information, status, and power, all of which distort supervisors' capacity and motivation to accurately appraise performance. It is then argued that rating errors caused by network centrality affect aggregate perceptions of justice in organizations. When employees are highly connected to each other in a dense network, organizations have a strong and positive justice climate. Yet when some employees are more central than others in a centralized network, organizations have a negative and weak justice climate. The article contributes to the literature because it identifies an unexplored dark side of network centrality and offers recommendations for HR managers to cope with its deleterious consequences and for scholars to study them.     

Analytic derivatives and the computation of GARCH estimates

In the context of univariate GARCH models we show how analytic first and second derivatives of the log-likelihood can be successfully employed for estimation purposes. Maximum likelihood GARCH estimation usually relies on the numerical approximation to the log-likelihood derivatives, on the grounds that an exact analytic differentiation is much too burdensome. We argue that this is not the case and that the computational benefit of using the analytic derivatives (first and second) may be substantial. Furthermore, we make a comparison of various gradient algorithms that are used for the maximization of the GARCH Gaussian likelihood. We suggest the implementation of a globally efficient computation algorithm that is obtained by suitably combining the use of the estimated information matrix with that of the exact Hessian during the maximization process. As this would appear a straightforward extension, we then study the finite sample performance of the exact Hessian and its approximations (that is, the estimated information, outer products and misspecification robust matrices) in inference.