Firm Size and Market Power in Carbonated Soft Drinks

Sutton (1998) offers us a simple way to model firm size distributions across differentiated products industries. We analyse the implications of this approach for company markups using a structural model for a specific industry. We incorporate the complexities of multi-product (brand) companies operating with different (strategic) configurations of product characteristics and stores to estimate brand markups, using Irish AC Nielsen retail data for Carbonated Soft Drinks. As a second step we estimate that market power does not increase in companies with higher market share, controlling for other factors. This challenges a traditional mind-set.     

Martingale applicate alla teoria del rischio: Processi di guadagno a submartingala e aggiustabilità

Viene formalizzata e studiata l'attività di una compagnia che opera in un mercato assicurativo non vita. Si ipotizza che il guadagno realizzato sulla generica polizza sia una submartingala. Si danno disuguaglianze significative per la probabilità di rovina all'infinito ed entro l'n-mo periodo nel caso in cui il rendimento di portafoglio della compagnia sia “aggiustabile”. I risultati vengono discussi nel caso in cui il mercato sia stratificato in classi di rischio nell'ipotesi di indipendenza; si accenna al caso particolare di rischi poissoniani e all'ipotesi di correlazione interna alle classi di rischio.     

Fiscal discipline and flexibility in EMU: the implementation of the Stability and Growth Pact

Fiscal discipline to safeguard the credibility of the singlemonetary authority and fiscal flexibility to respond to country-specificshocks are two core principles governing budgetary policy inEMU. The Stability and Growth Pact aims at ensuring the firstobjective. To comply with the requirements of the pact, EU membersneed to achieve a 'close to balance or surplus' position andchange their budgetary behaviour in periods of cyclical upturnsby refraining from spending the 'growth dividend'. Past experienceshows that fiscal laxity does not buy more effective stabilization.Once EMU countries have achieved their medium-term target, theirautomatic stabilizers will be able to operate fully, thus helpingin smoothing out cyclical fluctuations. The main potential problemsin the implementation of the pact may arise in the early yearsof EMU, during the transition to a balanced budget, in the eventof a slow-down in economic activity.     

Cystadenoma of the seminal vesicle: US and CT findings

Ultrasonographic (US) and computed tomographic (CT) features of a cystadenoma of the seminal vesicle are presented.     

Peer choice in CEO compensation

Current research shows that firms are more likely to benchmark against peers that pay their Chief Executive Officers (CEOs) higher compensation, reflecting self serving behavior. We propose an alternative explanation: the choice of highly paid peers represents a reward for unobserved CEO talent. We test this hypothesis by decomposing the effect of peer selection into talent and self serving components. Consistent with our prediction, we find that the association between a firm's selection of highly paid peers and CEO pay mostly represents compensation for CEO talent.     

Academic spin-off creation: barriers and how to overcome them

The aim of this study is to analyze the process of academic spin-off creation, identifying the barriers to suggest how to overcome them. For this purpose, a case study method was adopted, and as data-collecting instruments, several in-depth interviews and documentary analysis were used from three academic spin-offs. The empirical evidence captures the different views of the founding researchers of the academic spin-offs, the researching lecturers in the department creating the spin-offs and the manager of the technology transfer office at the Portuguese university studied here. The results show that the different perceptions of barriers are seen to be solved through an internal strategy within the university. The findings also show that applied research should be valued in assessing lecturers, as it contributes, not only to the link with industry, and therefore to regional development, but also to universities' sustainability, overcoming the lack of financial support as a result of constant budget cuts. The contact networks resulting from universities' links with the different stakeholders will benefit the spin-offs themselves, facilitating their survival in the first years of their life.     

On rankings and top choices in random utility models with dependent utilities

Different aggregate preference orders based on rankings and top choices have been defined in the literature to describe preferences among items in a fixed set of alternatives. A useful tool in this framework is constituted by random utility models, where the utility of each alternative, or object, is represented by a random variable, indexed by the object, which, for example, can capture the variability of preferences over a population. Applications are derived in diverse research fields, including computer science, management science and reliability. Recently, some stochastic ordering conditions have been provided for comparing alternatives by means of some aggregate preference orders in the case of independent random utility variables by Joe (Math Soc Sci 43:391–404, 2002). In this paper we provide new conditions, based on some joint stochastic orderings, for aggregate preference orders among the alternatives in the case of dependent random utilities. We also provide some examples of application in different research fields.      

Comparison of Classical and Bayesian Approaches for Intervention Analysis

Intervention analysis has been recently the subject of several studies, mainly because real time series present a wide variety of phenomena that are caused by external and/or unexpected events. In this work, transfer functions are used to model different forms of intervention to the mean level of a time series. This is performed in the framework of state-space models. Two canonical forms of intervention are considered: pulse and step functions. Static and dynamic explanation of the intervention effects, normal and non-normal time series, detection of intervention, and study of the effect of outliers are also discussed. The performance of the two approaches is compared in terms of point and interval estimation through Monte Carlo simulation. The methodology was applied to real time series and showed satisfactory results for the intervention models used.     

Estimating Engel curves under unit and item nonresponse

This paper estimates food Engel curves using data from the first wave of the Survey on Health, Aging and Retirement in Europe (SHARE). Our statistical model simultaneously takes into account selectivity due to unit and item nonresponse, endogeneity problems, and issues related to flexible specification of the relationship of interest. We estimate both parametric and semiparametric specifications of the model. The parametric specification assumes that the unobservables in the model follow a multivariate Gaussian distribution, while the semiparametric specification avoids distributional assumptions about the unobservables. Copyright © 2011 John Wiley & Sons, Ltd.