On the Inefficiency of Political Exchange

A classic argument in economic theory is that in a world of zero transaction costs the free bargaining among parties spontaneously leads to an efficient allocation of resources. Attempts have been made by many economists to apply such an argument to the field of politics. In contrast to market exchanges, political exchanges have been widely criticized on ethical grounds. Going beyond the well-known moral criticism regarding the exchange of votes, the paper attempts to demonstrate how in politics, ethics and economics can go hand in hand. Specifically, it proposes an unusual perspective on transaction costs, by arguing that the enhancement of such costs can be required to achieve efficient results in specific circumstances, where the free bargaining among parties conflicts with the public issue to be addressed. This suggests the basic idea that, while in markets transaction costs should be reduced, in politics, they may require to be enhanced.     

Be Careful Where You Smile: Culture Shapes Judgments of Intelligence and Honesty of Smiling Individuals

Smiling individuals are usually perceived more favorably than non-smiling ones—they are judged as happier, more attractive, competent, and friendly. These seemingly clear and obvious consequences of smiling are assumed to be culturally universal, however most of the psychological research is carried out in WEIRD societies (Western, Educated, Industrialized, Rich, and Democratic) and the influence of culture on social perception of nonverbal behavior is still understudied. Here we show that a smiling individual may be judged as less intelligent than the same non-smiling individual in cultures low on the GLOBE’s uncertainty avoidance dimension. Furthermore, we show that corruption at the societal level may undermine the prosocial perception of smiling—in societies with high corruption indicators, trust toward smiling individuals is reduced. This research fosters understanding of the cultural framework surrounding nonverbal communication processes and reveals that in some cultures smiling may lead to negative attributions.     

On the estimation of a binary response model in a selected population

A generalization of the Probit model is presented, with the extended skew-normal cumulative distribution as a link function, which can be used for modelling a binary response variable in the presence of selectivity bias. The estimate of the parameters via ML is addressed, and inference on the parameters expressing the degree of selection is discussed. The assumption underlying the model is that the selection mechanism influences the unmeasured factors and does not affect the explanatory variables. When this assumption is violated, but other conditional independencies hold, then the model proposed here is derived. In particular, the instrumental variable formula still applies and the model results at the second stage of the estimating procedure.     

Large deviations for estimators of some threshold parameters

In this paper, we consider a class of statistical models with a real-valued threshold parameter, which is either the minimum or the maximum of the support of the sampling distribution. We prove large deviation principles for sequences of estimators (maximum likelihood estimators and posterior distributions) as the sample size goes to infinity. Furthermore we illustrate some connections with the analogous large deviation results for the natural exponential families.     

How do mobile,internet and ICT diffusion affect the banking industry? An empirical analysis

Based on the World Development Indicators data provided by the World Bank, we investigate the effect of information and communication technology (ICT) on the profits and risk of financial distress of the EU 28 banking industry. Specifically, we address the question of whether and how ICT diffusion, adoption and infrastructure (e.g., ATM penetration) affect banking profitability and stability over the period 1995–2015. Our results show that ICT exerts a positive role in improving these performance measures. In addition, we find that overall financial stability in the banking industry is enhanced with the intensive adoption of both IT and financial technologies, which increase the distance to default.     

Being NEET in Europe Before and After the Economic Crisis: An Analysis of the Micro and Macro Determinants

The right to adequate minimum income protection is one of the key principles included in the European Pillar of Social Rights (EPSR). The EPSR takes a right-based and normative approach, aiming specifically at fulfilling people’s essential needs, not only by guaranteeing sufficiently high income levels, but also by promoting labour market inclusion and access to affordable goods and services of good quality. This paper takes the EPSR as a starting point to propose a needs-based indicator that assesses the adequacy of minimum income protection including these three dimensions in a comprehensive way. We argue that Reference Budgets (RBs), priced baskets of goods and services that represent an adequate living standard, are well-suited to construct such an indicator. To illustrate this empirically, we use RBs for adequate social participation in Belgium which have been constructed for the first time in 2008 and have been regularly updated since then. Through a combination of hypothetical household simulations of essential out-of-pocket costs and designated tax-benefits for families living on different minimum income schemes, we are able to assess the adequacy of minimum income protection for a range of household types over the period 2008–2017. The paper shows that, the proposed indicator is a useful policy tool for both ex-ante and ex-post evaluations of the adequacy of social policy measures in light of the social protection and inclusion rights included in the Pillar.

     

Symposium: What is Qualitative about Qualitative Research?

Qualitative Sociology -     

Robust multivariate diagnostics for PLSR and application on high dimensional spectrally overlapped drug systems

ABSTRACT

Statistical methods are effectively used in the evaluation of pharmaceutical formulations instead of laborious liquid chromatography. However, signal overlapping, nonlinearity, multicollinearity and presence of outliers deteriorate the performance of statistical methods. The Partial Least Squares Regression (PLSR) is a very popular method in the quantification of high dimensional spectrally overlapped drug formulations. The SIMPLS is the mostly used PLSR algorithm, but it is highly sensitive to outliers that also effect the diagnostics. In this paper, we propose new robust multivariate diagnostics to identify outliers, influential observations and points causing non-normality for a PLSR model. We study performances of the proposed diagnostics on two everyday use highly overlapping drug systems: Paracetamol–Caffeine and Doxylamine Succinate–Pyridoxine Hydrochloride.     

The Outward Projection of Italian Firms: Facts and Figures on Foreign Affiliates

In the last two decades or so, globalisation has prompted a great deal of attention in the study of the international organisation of production, with in-depth industry studies on its welfare effects, both for firms and for workers. Outcomes did not prove a unique direction of effects, although the heterogeneous firms?? approach emphasised the intra-industry reallocation through intra-sectoral international competition. Thus, differences in the inner structure of companies filled the gap on the micro-level analysis that featured the study of international trade for several decades, although there is still the need to understand the effects of internationalisation on local systems of production and link such results to the consolidated meso-level of analysis of trade flows. Thanks to the microdata provided by the Italian Statistical Office (ISTAT), we are able to access information on the presence of Italian firms abroad, distinguished by geographical area of origin, destination and industry and check for their influence on affiliates?? structure and performance through appropriate indicators.