A Model of the Representation of Interests in a Compound Democracy

This paper provides a model of democratic government as a compound of independent elective and non elective centers of power that compete in fostering the demands of voters and of interest groups. The analysis describes how interests of voters and of pressure groups are represented and under what conditions the compound democracy is more responsive to voters' or to interest groups' demands. These conditions are shown to depend on the center of power's relative opportunity costs at serving a plurality of interests and on the severeness of informational asymmetries between voters and interest groups.     

Will It Spread or Not? The Effects of Social Influences and Network Topology on Innovation Diffusion

Innovation diffusion theory suggests that consumers differ concerning the number of contacts they have and the degree and the direction to which social influences determine their choice to adopt. To test the impacts of these factors on innovation diffusion, in particular the occurrence of hits and flops, a new agent‐based model for innovation diffusion is introduced. This model departs from existing percolation models by using more realistic agents (both individual preferences and social influence) and more realistic networks (scale free with cost constraints). Furthermore, it allows consumers to weight the links they have, and it allows links to be directional. In this way this agent‐based model tests the effect of VIPs who can have a relatively large impact on many consumers. Results indicate that markets with high social influence are more uncertain concerning the final success of the innovation and that it is more difficult for the innovation to take off. As consumers affect each other to adopt or not at the beginning of the diffusion, the new product has more difficulties to reach the critical mass that is necessary for the product to take off. In addition, results of the simulation experiments show under which conditions highly connected agents (VIPs) determine the final diffusion of the innovation. Although hubs are present in almost any network of consumers, their roles and their effects in different markets can be very different. Using a scale‐free network with a cut‐off parameter for the maximum number of connections a hub can have, the simulation results show that when hubs have limits to the maximum number of connections the innovation diffusion is severely hampered, and it becomes much more uncertain. However, it is found that the effect of VIPs on the diffusion curve is often overestimated. In fact when the influence of VIPs on the decision making of the consumers is strengthened compared with the influence of normal friends, the diffusion of the innovation is not substantially facilitated. It can be concluded that the importance of VIPs resides in their capacity to inform many consumers and not in a stronger persuasive power.     

The influence of retailing-mix levers on private label market share: The case of the Italian FMCG market

An in-depth analysis of the impact of retailing-mix levers on private label market share in the Fast Moving Consumer Goods sector in Italy is made. The direction and intensity of the impact of assortment, price and sales promotion is measured for different product categories. OLS and GMM regressions run on an IRI Group dataset indicate a strong positive effect of product range, which can be considered as a proxy of on-shelf brand visibility. Increasing private label assortment share thus appears to constitute the key supply-side factor in augmenting sales share on the Italian grocery retailing market.     

Effects of intra-brand competition between private labels and manufacturer brands: Empirical results from the Italian market

A proliferation of private labels in European food retailing has been evident for several years now. The purpose of this study is to analyze the impact of competition between manufacturer brands and private labels on assortment and pricing practices by Italian grocery retailers. Previous studies emphasized both pro-competitive and anti-competitive effects of private label development. In this study, within an empirical analysis based on scanner data from Symphony IRI Group, all fast moving consumer goods product categories are investigated over a period of two years (from September 2008 to September 2010). The empirical results indicate that in Italy there is no clear and strong evidence of decreases in manufacturer brands' assortments, prices, and turnover caused by a proliferation of private labels. In particular, analyzing at the same time all categories and all retailers' data in the Italian Market there is not much evidence for the existence of a strategic trade-off between manufacturer's and retailer's brands.     

An Empirical Analysis of the Determinants of Perceived Inequality

Perception of inequality is important for the analysis of individuals' motivations and decisions and for policy assessment. Despite the broad range of analytic gains that it grants, our knowledge about measurement and determinants of perception of inequality is still limited, since it is intrinsically unobservable, multidimensional, and essentially contested. Using a novel econometric approach, we study how observable individual characteristics affect the joint distribution of a set of indicators of perceived inequality in specific domains. Using data from the International Social Survey Programme, we shed light on the associations among these indicators and how they are affected by covariates. The approach also gives insights on some results in the literature on inequality. The role of many subjective indicators for the perception of inequality is re‐examined and examples of policy applications are reviewed. The importance of our empirical approach to the measurement of perceived inequality is, in so doing, reinforced.     

Model selection for nonlinear time series

We investigate the finite-sample performance of model selection criteria for local linear regression by simulation. Similarly to linear regression, the penalization term depends on the number of parameters of the model. In the context of nonparametric regression, we use a suitable quantity to account for the Equivalent Number of Parameters as previously suggested in the literature. We consider the following criteria: Rice T, FPE, AIC, Corrected AIC and GCV. To make results comparable with other data-driven selection criteria we consider also Leave-Out CV. We show that the properties of the penalization schemes are very different for some linear and nonlinear models. Finally, we set up a goodness-of-fit test for linearity based on bootstrap methods. The test has correct size and very high power against the alternatives investigated. Application of the methods proposed to macroeconomic and financial time series shows that there is evidence of nonlinearity.First version received: September 2002/Final version received : October 2003I would like to thank Cees Diks, Cars Hommes and an anonymous referee for useful comments that significantly improved the paper.     

Trainees' reactions to training: an analysis of the factors affecting overall satisfaction with training

The study examines a relatively neglected, but important, aspect of the analysis and evaluation of training, namely trainees' immediate reaction to training. In particular, we focused on an analysis of the factors that affect participants' overall satisfaction with training. We first identified three key situational antecedents of training satisfaction, including trainees' perceptions of the efficiency and usefulness of the training, and their perceptions of trainer performance. Specific hypotheses relating each of these factors to training satisfaction were then developed and tested using data from a sample of about 3000 trainees from a range of Italian companies participating in a large-scale regionally-funded training programme involving over 300 different training courses. The results revealed that, although all three hypothesised antecedents were significantly positively related to training satisfaction, the perceived usefulness of training had the strongest effect. Importantly, the results also suggest the lack of any clear compensatory effects of the three antecedents on training satisfaction. Theoretical and policy implications of the findings are discussed.     

Asymmetric Quantile Persistence and Predictability: the Case of US Inflation

This article investigates the evidence of time‐variation and asymmetry in the persistence of US inflation. We compare the out‐of‐sample performance of different forecasting models and find that quantile forecasts from an Auto‐Regressive (AR) model with level‐dependent volatility are at least as accurate as the forecasts of the Quantile Auto‐Regressive model, in particular for the core inflation measures. Our results indicate that the persistence of core inflation has been relatively constant and high, but it declined for the headline inflation measures. We also find that the asymmetric persistence of inflation shocks can be mostly attributed to the positive relation between inflation level and its volatility.