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Purpose: Most of the characterizations of inequality or poverty indices assume some invariance condition, be that scale, translation, or intermediate, which imposes value judgments on the measurement. In the unidimensional approach, Zheng (2007a, 2007b) suggests replacing all these properties with the unit-consistency axiom, which requires that the inequality or poverty rankings, rather than their cardinal values, are not altered when income is measured in different monetary units. The aim of this paper is to introduce a multidimensional generalization of this axiom and characterize classes of multidimensional inequality and poverty measures that are unit consistent.

Design/methodology/approach: Zheng (2007a, 2007b) characterizes families of inequality and poverty measures that fulfil the unit-consistency axiom. Tsui (1999, 2002), in turn, derives families of the multidimensional relative inequality and poverty measures. Both of these contributions are the background taken to achieve our characterization results.

Findings: This paper merges these two generalizations to identify the canonical forms of all the multidimensional subgroup- and unit-consistent inequality and poverty measures. The inequality families we derive are generalizations of both the Zheng and Tsui inequality families. The poverty indices presented are generalizations of Tsui's relative poverty families as well as the families identified by Zheng.

Originality/value: The inequality and poverty families characterized in this paper are unit and subgroup consistent, both of them being appropriate requirements in empirical applications in which inequality or poverty in a population split into groups is measured. Then, in empirical applications, it makes sense to choose measures from the families we derive.

The purpose of this paper is to analyze the advantages and disadvantages of several intermediate inequality measures, paying special attention to the unit-consistency axiom proposed by Zheng (2007). First, we demonstrate why one of the most referenced intermediate indices, proposed by Bossert and Pfingsten (1990), is not unit-consistent. Second, we explain why the invariance criterion proposed by Del Río and Ruiz-Castillo (2000), recently generalized by Del Río and Alonso-Villar (2008), leads instead to inequality measures that are unaffected by the currency unit. Third, we show that the intermediate measures proposed by Kolm (1976) may also violate unit-consistency. Finally, we reflect on the concept of intermediateness behind the above notions together with that proposed by Krtscha (1994). Special attention is paid to the geometric interpretations of our results.

This chapter examines herd behavior across national borders. A dynamic latent factor model with Gibbs sampling is used to decompose the national herd behavior into the world, regional, and country-specific components. Testing the daily data from 2000 through 2014 for 47 countries, we find that the impact of world factor on national herd behavior is short-lived. This study indicates that world and regional factors play a significant role in explaining the variations of national herd behavior, constituting 33% of the herding variability. The significance of world and regional components is likely to produce a biased herding estimator.

This article argues that critical realism (CR) offers an ontological position suited to understanding the dynamic relations between multinational companies (MNCs) and the complex political spaces within which they operate. After outlining the core assumptions of CR, the key arguments are elaborated through two case studies which focus on issues of staffing and expatriation. The first case concerns recent developments in the Middle East, highlighting the shifting reality of nationality-based definitions of staffing the MNC, and the second examines the internationalisation of Chinese firms, exploring the way MNCs restructure space to retain access to home-country advantages.

We assess whether smaller investors are more likely to hold shares of closed-end funds that invest more heavily in illiquid securities. We also examine the relationship between the liquidity of the securities held in the portfolios of closed-end mutual funds (portfolio liquidity) and the liquidity of the closed-end funds’ shares (fund-share liquidity). Using a sample of 1,619 fund-years from 2010 to 2012, we find that smaller investors are more likely than institutional investors to own closed-end funds. We also find that the liquidity of closed-end funds’ portfolios is positively associated with the liquidity of the funds’ shares. Our findings are consistent with the “liquidity benefits” notion that closed-end funds are a means for smaller investors to invest in less liquid securities. In addition, our findings are consistent with the “valuation skepticism” notion which indicates that, due to the difficulty of objectively valuing illiquid securities, different perceptions of the value of illiquid securities held in funds’ portfolios may result in greater fund-share liquidity.

Supposing that decisionmakers in any country and at any point in time tolerate a certain fixed level of perceived poverty, differences in poverty aversion are called for to explain observed international and intertemporal variations in poverty statistics. Under the Natural Rate of Subjective Poverty hypothesis advanced in this paper, variations in the degree of poverty aversion are estimable and can be explained by political and socioeconomic factors. The methodology is applied to US data from 1975 to 1998 and across nations using cross-section data from the mid-1990s. Factors such as the political affiliation of government officials, public expenditure, per capita income, and economic growth account for much of the variation in poverty aversion implied by our hypothesis. The relationship between inequality aversion and poverty aversion is also explored, with the aid of a parallel “natural rate” hypothesis for inequality (Lambert et al., 2003). Our findings provide a new framework in which to interpret observed correlations between poverty, inequality, and social welfare.

With the rising of “religious fever” in China rural area, the authors inquire the reason why it happened. First, the authors explore the group characteristics which could affect both happiness and the religion belief of Chinese rural elderly. The authors analyze the micro-data of “thousand village surveys” data of Shanghai University of Finance and Economics by using Order Logit and Propensity Score Matching (PSM) method. These results show that when the elderly people have the following features related to health such as: feeling psychological loneliness, not obtaining the good management of chronic disease in the village, and not being participated in new rural cooperative medical system are more likely to believe in religious in the rural areas. And the authors also find these Chinese rural elderlies who believe in religion are less happy than atheism elderly actually (by PSM). Believing in religion is not the solution and maybe the way these elderly resorts to when they encounter health problem.