Some maximum-indifference estimators for the slope of a univariate linear model

As known, the least-squares estimator of the slope of a univariate linear model sets to zero the covariance between the regression residuals and the values of the explanatory variable. To prevent the estimation process from being influenced by outliers, which can be theoretically modelled by a heavy-tailed distribution for the error term, one can substitute covariance with some robust measures of association, for example Kendall's tau in the popular Theil–Sen estimator. In a scarcely known Italian paper, Cifarelli [(1978), ‘La Stima del Coefficiente di Regressione Mediante l'Indice di Cograduazione di Gini’, Rivista di matematica per le scienze economiche e sociali, 1, 7–38. A translation into English is available at http://arxiv.org/abs/1411.4809 and will appear in Decisions in Economics and Finance] shows that a gain of efficiency can be obtained by using Gini's cograduation index instead of Kendall's tau. This paper introduces a new estimator, derived from another association measure recently proposed. Such a measure is strongly related to Gini's cograduation index, as they are both built to vanish in the general framework of indifference. The newly proposed estimator is shown to be unbiased and asymptotically normally distributed. Moreover, all considered estimators are compared via their asymptotic relative efficiency and a small simulation study. Finally, some indications about the performance of the considered estimators in the presence of contaminated normal data are provided.     

Does the Euro–Mediterranean Partnership contribute to regional integration?

The paper investigates whether Southern Mediterranean and Middle Eastern markets under the Euro–Mediterranean Partnership (Egypt, Lebanon, Morocco, Malta, and Turkey) have become more financially integrated with the European stock market over time. The findings suggest that the Turkish equity market is moderately integrated with the European market, while the other economies exhibit weak financial integration with Europe, supporting the idea that the partnership appears to have no effect on enhancing inter-market linkages for these economies. Therefore, these markets would be good destinations for international investors seeking attractive investment opportunities to diversify their equity portfolios. Structural changes in the cross-market integration do exist, which may be considered as a guide for international equity portfolio diversification over different subperiods. In addition, there is evidence of an increasing trend in conditional correlations for Egypt and Turkey, to varying degrees, over time, notably during the post global financial crisis of 2007–2008, thus revealing herding behavior during this period. Overall, investors should be wary of the variation of equity market integration over time before engaging in an investment at the level of portfolio management and diversification. Policymakers must be aware of the remoteness of the current achievements of the Euro–Mediterranean Partnership from the targets set in terms of financial development and economic growth.     

A new estimator of Kullback–Leibler information and its application in goodness of fit tests*

We propose here a general statistic for the goodness of fit test of statistical distributions. The proposed statistic is constructed based on an estimate of Kullback–Leibler information. The proposed test is consistent and the limiting distribution of the test statistic is derived. Then, the established results are used to introduce goodness of fit tests for the normal, exponential, Laplace and Weibull distributions. A simulation study is carried out for examining the power of the proposed test and to compare it with those of some existing procedures. Finally, some illustrative examples are presented and analysed, and concluding comments are made.     

On approximations via convolution-defined mixture models

An often-cited fact regarding mixing or mixture distributions is that their density functions are able to approximate the density function of any unknown distribution to arbitrary degrees of accuracy, provided that the mixing or mixture distribution is sufficiently complex. This fact is often not made concrete. We investigate and review theorems that provide approximation bounds for mixing distributions. Connections between the approximation bounds of mixing distributions and estimation bounds for the maximum likelihood estimator of finite mixtures of location-scale distributions are reviewed.     

An omnibus two-sample test for ranked-set sampling data

We develop an omnibus two-sample test for ranked-set sampling (RSS) data. The test statistic is the conditional probability of seeing the observed sequence of ranks in the combined sample, given the observed sequences within the separate samples. We compare the test to existing tests under perfect rankings, finding that it can outperform existing tests in terms of power, particularly when the set size is large. The test does not maintain its level under imperfect rankings. However, one can create a permutation version of the test that is comparable in power to the basic test under perfect rankings and also maintains its level under imperfect rankings. Both tests extend naturally to judgment post-stratification, unbalanced RSS, and even RSS with multiple set sizes. Interestingly, the tests have no simple random sampling analog.     

财政农业支出对西部城乡一体化发展的影响——基于云南数据的实证分析

城乡经济一体化是城乡一体化的重要内容,加快城乡一体化的发展有利于打破城乡二元经济结构、促进城乡统筹发展。城乡一体化发展是一个资金投入不断增长的过程,且随着城乡一体化实施进程的深入,城乡融合的要求越高,资金的投入就越大。西部地区以县域为基础的城乡一体化,主要是政府推动为主导的城乡一体化。由于国家级贫困县较多,财政赤字严重,财政农业支出可持续问题成为西部大多数地区城乡一体发展中的重大问题。云南是国家级贫困县最多的省份,本文以云南为例,利用超越对数生产模型对城乡经济一体化与财政农业支出的关系进行实证分析,提出西部地区解决城乡一体化财政农业支出可持续发展的思路及建议。     

Use of Redundant Industrial Buildings as Injections into the Cultural Sector in Norway

Prime aim is to examine the way the culture sector reuses industrial buildings to instigate cultural activities in the municipalities. The discussion of various actors’ motivation for engagement is based on results from a case study, supplemented with findings from a coarse-meshed telephone survey. At national level overarching political guidelines can be traced back to white papers concerning cultural policy, urban transformation and cultural heritage, and the municipalities’ cultural policies mirror these guidelines. What tends to decide if such initiatives are considered successful are local abilities to cross sectorial divisions and instigate cooperation between municipal planners, private entrepreneurs and NGOs.     

New evidence about effects of reproductive variables on child mortality in sub-Saharan Africa

There is still considerable uncertainty about how reproductive factors affect child mortality. This study, based on Demographic and Health Survey data from 28 countries in sub-Saharan Africa, shows that mortality is highest for firstborn children with very young mothers. Other children with young mothers, or of high birth order, also experience high mortality. Net of maternal age and birth order, a short preceding birth interval is associated with above average mortality. These patterns change, however, if time-invariant unobserved mother-level characteristics of importance for both mortality and fertility are controlled for in a multilevel–multiprocess model. Most importantly, there are smaller advantages associated with longer birth intervals and being older at first birth. The implications of alternative reproductive ‘strategies’ are discussed, taking into account that if the mother is older at birth, the child will also be born in a later calendar year, when mortality may be lower.     

Falling into the existential abyss: Ivan Franko’s realist prose in experiments with Gothic and crime fiction modes

This article examines three novels by Ukrainian realist Ivan Franko (1856–1916): Dlia domashn'oho ohnyshcha (For the Home Hearth, 1892), Osnovy suspil'nosti (Pillars of Society, 1894), and Perekhresni stezhky (Fateful Crossroads, 1900). Previous scholars saw elements of crime fiction in these works, but the actual relationship between the two genres of crime fiction and realism has not been fully developed. By studying the conventions of crime fiction, along with its antecedent, the Gothic, and their influence on Franko, the author shows the make-up of the early Ukrainian crime fiction genre and points to its importance in understanding Franko’s vacillation between realist and modernist tendencies. As she argues, the scales of his vacillation are tipped toward modernism in its decadent form, an existential void that characterized fin de siècle Europe. Hence, Franko’s “ideal” or programmatic realism (defined by Franko as a literary style with a didactic tendency aimed at educating society), which he introduced under the appealing cover of crime and Gothic motifs, ultimately failed him. The author proposes that it is the creative modes (Gothic and crime fiction) that Franko chose for voicing his ideas about social reforms that led him, unsuspectingly, away from his programmatic goal and toward the decadent aspects of modernism.