CONTINUOUS PREFERENCE ORDERINGS REPRESENTABLE BY UTILITY FUNCTIONS

This paper surveys the conditions under which it is possible to represent a continuous preference ordering using utility functions. We start with a historical perspective on the notions of utility and preferences, continue by defining the mathematical concepts employed in this literature, and then list several key contributions to the topic of representability. These contributions concern both the preference orderings and the spaces where they are defined. For any continuous preference ordering, we show the need for separability and the sufficiency of connectedness and separability, or second countability, of the space where it is defined. We emphasize the need for separability by showing that in any nonseparable metric space, there are continuous preference orderings without utility representation. However, by reinforcing connectedness, we show that countably boundedness of the preference ordering is a necessary and sufficient condition for the existence of a (continuous) utility representation. Finally, we discuss the special case of strictly monotonic preferences.     

The poor outside the lamplight: on the prevalence of poverty among population groups not included in household surveys

Poverty rate calculations are often based on household surveys that exclude some of the groups most vulnerable to poverty such as the homeless. This paper documents the nature of the excluded groups and the quantitative importance of their omission for the Czech Republic. Our study combines European Union Statistics on Income and Living Conditions data for 2011 with information from the 2011 Population Census. Our preferred estimate indicates an increase in the poverty rate by almost one percentage point. The paper contributes to accurately identifying the most vulnerable members of the society, which is essential for setting effective social policies.     

The Limitations of International Relations Regarding MNCs and the Digital Economy: Evidence from Brazil

ABSTRACT

Multinationals (MNCs) have been considered a relevant research topic for International Relations since the emergence of the field of International Political Economy in the 1970s. Nowadays, MNCs are undergoing deep changes in their business models and global strategies due to the digital economy. This has considerable implications for the international system. For instance, the rise of information and communication technology (ICT) MNCs to the top of market value lists globally. Nonetheless, IR scholars have been slow in grasping the importance of ICT MNCs and the digital economy. In this paper, I justify this statement by evaluating the inclusion of MNCs and ICT MNCs in Brazilian IR scholarship. The method used is a bibliometric mapping of the scientific production of Brazilian IR scholars, supported by a systematic literature review. The results showcase that, in spite of the impact of digitalization on Brazil's economy and politics, IR scholars have conducted few studies on MNCs and practically no studies on ICT MNCs. This case illustrates the emergence of new dynamics in global value chains triggered by digitalization. It also illustrates the challenges for developing countries such as Brazil to engage in global production networks within the highly competitive ICT sector.     

CAUSAL INFERENCE ON EDUCATION POLICIES: A SURVEY OF EMPIRICAL STUDIES USING PISA,TIMSS AND PIRLS

The identification of the causal effects of educational policies is the top priority in recent education economics literature. As a result, a shift can be observed in the strategies of empirical studies. They have moved from the use of standard multivariate statistical methods, which identify correlations or associations between variables only, to more complex econometric strategies, which can help to identify causal relationships. However, exogenous variations in databases have to be identified in order to apply causal inference techniques. This is a far from straightforward task. For this reason, this paper provides an extensive and comprehensive overview of the literature using quasi‐experimental techniques applied to three well‐known international large‐scale comparative assessments, such as PISA, PIRLS or TIMSS, over the period 2004–2016. In particular, we review empirical studies employing instrumental variables, regression discontinuity designs, difference in differences and propensity score matching to the above databases. Additionally, we provide a detailed summary of estimation strategies, issues treated and profitability in terms of the quality of publications to encourage further potential evaluations. The paper concludes with some operational recommendations for prospective researchers in the field.     

Secrets to design an effective message on Facebook: an application to a touristic destination based on big data analysis

The objective of this research is to identify which are the key variables for designing a message in a social network that can be used by an advertiser to generate Positive/Negative Engagement. The message’s design variables have been classified into four main groups: (i) Message Tools (presence of text, images, video, labels, applications, interactive games and events calendar or others), (ii) Appropriate Message Structure (length and intelligibility), (iii) Informative Cues (links to the brand, orientation towards the product or the brand, topics relevant to the audience, and a remuneration’s promise) and (iv) Persuasive and Emotional Cues (emotional signals, valence, endorsement and influencer mentions). The focus has been a tourist destination: Brand Spain that is advertised through Facebook. A content analysis was carried out and regression analysis with optimal scaling was used on 180 Spain brand’s publications; 57,626 audience reactions to such publications; and 1361 audience comments on the Brand Spain Official Fan Page. According to our results, from the four blocks of predictive variables, only two of them are useful to predict Positive/Negative Engagement: (i) the use of Message Tools (videos), and (ii) the use of informative cues (relevant topics, links on posts, and post’s orientation towards product).     

Cause-Brand Community: Toward Consumer Citizenship

Brand communities have been proven to be successful with commercial brands. However, a review of the literature indicated that brand community has not been studied in charity organizations. To shed light on this issue, a qualitative research was conducted among stakeholders of an internationally well-known charity organization using three different techniques: in-depth interviews, netnography, and nonparticipant observation at the charity’s brandfest. The results suggest that cause-brand communities exist, sharing the same elements of commercial-brand communities, but the two have some unique characteristics, such as the existence of different stakeholders and small communities that demonstrate an extreme commitment, the promotion of consumer citizenship among them, and the lack of oppositional brand loyalty. A cause-brand community has important managerial implications as it helps build the charity’s brand equity; at the same time, a well-known brand supports the construction of the brand community.     

Intrapreneurship model in the software industry

Quality & Quantity - The complexity of business dynamics demands that companies search for alternative ways to ensure their growth and survival. Thus intrapreneurship emerges as an ad-hoc...     

Inequality in turbulent times: income distribution in Germany and Britain, 1900–50

Using social tables, this article provides new data on inequality in Germany and Britain on an annual basis for the first half of the twentieth century. Inequality trends in these two countries tended to follow opposite patterns. The decline in inequality in Germany was interrupted during the First World War and the Nazi period, while in Britain the reversal took place between the end of the First World War and the Great Depression. Results show that the drop in inequality during the twentieth century in Europe did not follow secular trends, thus supporting the notion of inequality cycles.     

What Factors Keep Cash Alive in the European Union?

This paper aims to analyze the determinants of cash usage in a selection of European Union (EU) countries over the 2003–2016 period, based on a set of technological, socioeconomic, and socio-cultural indicators and cost components. Our results reveal the existence of both common and region-specific determinants for the EU advanced and Central and Eastern European (CEE) countries. In both groups cash usage is determined by payment system characteristics. Additionally, in the EU advanced countries cash usage can also be explained by the level of economic development and income inequalities and proliferation of Internet. In contrast, cash usage in CEE countries is negatively associated with consumer confidence and is inversely related to the technological progress, expressed in terms of mobile users.