ENDOGENOUS LOBBYING

In this article, we present a citizen‐candidate model of representative democracy with endogenous lobbying. We find that lobbying induces policy compromise and always affects equilibrium policy outcomes. In particular, even though the policy preferences of lobbies are relatively extreme, lobbying biases the outcome of the political process toward the center of the policy space, and extreme policies cannot emerge in equilibrium. Moreover, in equilibrium, not all lobbies participate in the policy‐making process. (JEL: D72, D74, D78)     

Efficiency and Equilibrium with Dynamic Increasing Aggregate Returns due to Demand Complementarities

When do dynamic nonconvexities at the disaggregate level translate into dynamic nonconvexities at the aggregate level? We address this question in a framework where the production of differentiated intermediate inputs is subject to dynamic nonconvexities, and we show that the answer depends on the degree of Hicks-Allen complementarity (substitutability) between differentiated inputs. In our simplest model, a generalization of Judd (1985) and Grossman and Helpman (1991) among many others, there are dynamic nonconvexities at the aggregate level if and only if differentiated inputs are Hicks-Allen complements. We also compare dynamic equilibrium and optimal allocations in the presence of aggregate dynamic nonconvexities due to Hicks-Allen complementarities between differentiated inputs.     

Servitization strategy as a roadmap for the accounting machine

Journal of Management and Governance - In the last decades contributions on servitization strategy have investigated the role of accounting in supporting it, highlighting the helpfulness of...     

Electroencephalographic Evidence of Abnormal Anticipatory Uncertainty Processing in Gambling Disorder Patients

Putting money at stake produces anticipatory uncertainty, a process that has been linked to key features of gambling. Here we examined how learning and individual differences modulate the stimulus preceding negativity (SPN, an electroencephalographic signature of perceived uncertainty of valued outcomes) in gambling disorder patients (GDPs) and healthy controls (HCs), during a non-gambling contingency learning task. Twenty-four GDPs and 26 HCs performed a causal learning task under conditions of high and medium uncertainty (HU, MU; null and positive cue-outcome contingency, respectively). Participants were asked to predict the outcome trial-by-trial, and to regularly judge the strength of the cue-outcome contingency. A pre-outcome SPN was extracted from simultaneous electroencephalographic recordings for each participant, uncertainty level, and task block. The two groups similarly learnt to predict the occurrence of the outcome in the presence/absence of the cue. In HCs, SPN amplitude decreased as the outcome became predictable in the MU condition, a decrement that was absent in the HU condition, where the outcome remained unpredictable during the task. Most importantly, GDPs’ SPN remained high and insensitive to task type and block. In GDPs, the SPN amplitude was linked to gambling preferences. When both groups were considered together, SPN amplitude was also related to impulsivity. GDPs thus showed an abnormal electrophysiological response to outcome uncertainty, not attributable to faulty contingency learning. Differences with controls were larger in frequent players of passive games, and smaller in players of more active games. Potential psychological mechanisms underlying this set of effects are discussed.     

An Empirical Approach to the Poverty Indicators Based on Revealed Parameters: The Case of Spain

This article investigates the issue of measuring the proportion of the population affected by the phenomenon of poverty in Spain on the basis of the relationship between the severe material deprivation rate and the at-risk-of-poverty rate by regions. The current definitions of equivalence units and equivalent income were analysed and an innovation to allow the introduction of a parametric model, based on the revealed annual consumption of the main different type of households and on the regional purchase power parities, was subsequently proposed. In the case of Spain it was discovered empirically that the equivalence units are not constant, as maintained until now, but that they vary over time. An improvement between the relations of the two rates was obtained by means of the application of these revealed scales. The regional composition was also improved. The results could serve as a base for future studies to provide more detailed information about the breakdown of the relative poverty within each country and, thereby, to meet the relevant information requests, at national and international level, to support the implementation of public policies in this area.     

Nonlinear mixed-effects models with scale mixture of skew-normal distributions

Aiming to avoid the sensitivity in the parameters estimation due to atypical observations or skewness, we develop asymmetric nonlinear regression models with mixed-effects, which provide alternatives to the use of normal distribution and other symmetric distributions. Nonlinear models with mixed-effects are explored in several areas of knowledge, especially when data are correlated, such as longitudinal data, repeated measures and multilevel data, in particular, for their flexibility in dealing with measures of areas such as economics and pharmacokinetics. The random components of the present model are assumed to follow distributions that belong to scale mixtures of skew-normal (SMSN) distribution family, that encompasses distributions with light and heavy tails, such as skew-normal, skew-Student-t, skew-contaminated normal and skew-slash, as well as symmetrical versions of these distributions. For the parameters estimation we obtain a numerical solution via the EM algorithm and its extensions, and the Newton-Raphson algorithm. An application with pharmacokinetic data shows the superiority of the proposed models, for which the skew-contaminated normal distribution has shown to be the most adequate distribution. A brief simulation study points to good properties of the parameter vector estimators obtained by the maximum likelihood method.     

Oxytocin discontinuation after the active phase of induced labor: A systematic review

Background

Oxytocin is the most widely used drug in the induction of labor, but it could have potential adverse effects that derive from uterine hyperstimulation.

Latent class models for ecological inference on voters transitions

This paper introduces some new models of ecological inference within the context of estimation of voter transitions across elections. In particular, we assume that voters of a given party in a given occasion may be split into two latent types: faithful voters, who will certainly vote again for the same party and movers, who will reconsider their choice. Our models allow for unobserved heterogeneity across polling stations both in the weights of the two latent classes within each party and also when modelling the choice of unfaithful voters. Different ways of modelling the unobserved heterogeneity are considered by exploiting properties of the Dirichlet-multinomial distribution and the Brown Payne model of voting transitions can be seen as a special case within the class of models presented here. We discuss pseudo-maximum likelihood estimation and present an application to recent elections in Italy.     

New MNE subsidiaries in old clusters: when,why, and how

Despite the rise of globalization, industrial clusters remain vibrant spaces for the generation of knowledge and innovation. Aware of this reality, multinational enterprises (MNEs) seek to reconcile the advantages of international operations with the specific endowments of individual territories. By studying the case of the Inditex subsidiary in the Vinalopó footwear cluster, this research shows how the creation and activity of a specialized subsidiary and the evolution of the industrial system interweave. The study shows that, rather than agglomeration per se, access to specific resources guides location as the cluster matures. Furthermore, local embeddedness shapes post-entry dynamics at the micro and meso levels. Autonomous decisions boost the subsidiary’s access to local networks and the exploitation of cluster advantages, aiding the resilience of the cluster by contributing extra-cluster knowledge.