Gender as Symbolic Capital and Violence: The Case of Corporate Elites in Turkey

Based on a Bourdieusian approach, drawing on qualitative analyses of 63 life interviews, our study demonstrates that gender is performed as both symbolic capital and violence by corporate elites within the dominant ideologies of patriarchy and family in Turkey. Our analysis reveals that, in the male‐dominated context of Turkey, female elites appear to favour male alliances as a tactical move in order to acquire and maintain status in their organizations, whereas male elites appear to remain blind to the privileges and constraints of their own gendered experience of symbolic capital and violence. Our study also illustrates that gender order is still preserved, despite beliefs to the contrary that equality in education, skills, experience and job performance may liberate women and men from gender‐based outcomes at work.     

Income Inequality and Economic Convergence in Turkey

Even though the convergence of regional per capita incomes has been a highly debated issue internationally, empirical evidence regarding Turkey is both limited and contradictory. This paper is an attempt to investigate regional income inequality and convergence dynamics in Turkish gross domestic product. First, the Theil coefficient of concentration index has been employed in order to analyze the dispersion aspects of the convergence process which shows a procyclical character. Then, we investigate the convergence dynamics, taking regional interdependencies into account. Empirical results indicate that there is convergence at the national level. Moreover, the spatial error model is preferred by the model selection criteria, indicating that the typical least-squares regional convergence model is misspecified.     

Local Likelihood Estimation in Generalized Additive Models

ABSTRACT.  Generalized additive models are a popular class of multivariate non-parametric regression models, due in large part to the ease of use of the local scoring estimation algorithm. However, the theoretical properties of the local scoring estimator are poorly understood. In this article, we propose a local likelihood estimator for generalized additive models that is closely related to the local scoring estimator fitted by local polynomial regression. We derive the statistical properties of the estimator and show that it achieves the same asymptotic convergence rate as a one-dimensional local polynomial regression estimator. We also propose a wild bootstrap estimator for calculating point-wise confidence intervals for the additive component functions. The practical behaviour of the proposed estimator is illustrated through a simulation experiment.     

众筹研究综述

众筹是指企业或有创意的个人以互联网平台为载体,面向社会公众,聚合社会资本、智力等资源的融资模式。近年来,众筹逐渐引起学术界的关注和重视,但是关于众筹的研究在国内几乎处于初级阶段,研究基本上局限在众筹的内涵、风险、应对措施等理论方面,缺乏系统性、全面性的文献述评和研究展望。本文在已有研究的基础上,梳理了国内外关于众筹研究的基本现状、重要文献,从众筹出资者、众筹筹资者和众筹中介机构三个维度进行总结和评述,并在各个维度下对参与方的参与动机、项目成功的决定因素、风险与法律框架问题等方面进行梳理与讨论。     

Ecological,Groundwater, and Human Health Risk Assessment in a Mining Region of Nicaragua

The objective of the present study was to integrate the relative risk from mercury exposure to stream biota, groundwater, and humans in the Río Artiguas (Sucio) river basin, Nicaragua, where local gold mining occurs. A hazard quotient was used as a common exchange rate in probabilistic estimations of exposure and effects by means of Monte Carlo simulations. The endpoint for stream organisms was the lethal no‐observed‐effect concentration (NOECs), for groundwater the WHO guideline and the inhibitory Hg concentrations in bacteria (IC), and for humans the tolerable daily intake (TDI) and the benchmark dose level with an uncertainty factor of 10 (BMDLs_0.1). Macroinvertebrates and fish in the contaminated river are faced with a higher risk to suffer from exposure to Hg than humans eating contaminated fish and bacteria living in the groundwater. The river sediment is the most hazardous source for the macroinvertebrates, and macroinvertebrates make up the highest risk for fish. The distribution of body concentrations of Hg in fish in the mining areas of the basin may exceed the distribution of endpoint values with close to 100% probability. Similarly, the Hg concentration in cord blood of humans feeding on fish from the river was predicted to exceed the BMDLs_0.1 with about 10% probability. Most of the risk to the groundwater quality is confined to the vicinity of the gold refining plants and along the river, with a probability of about 20% to exceed the guideline value.     

Principal components regression estimator and a test for the restrictions

In this article, we introduce restricted principal components regression (RPCR) estimator by combining the approaches followed in obtaining the restricted least squares estimator and the principal components regression estimator. The performance of the RPCR estimator with respect to the matrix and the generalized mean square error are examined. We also suggest a testing procedure for linear restrictions in principal components regression by using singly and doubly non-central F distribution.     

Partial Partial Likelihood

The maximum likelihood and maximum partial likelihood approaches to the proportional hazards model are unified. The purpose is to give a general approach to the analysis of the proportional hazards model, whether the baseline distribution is absolutely continuous, discrete, or a mixture. The advantage is that heavily tied data will be analyzed with a discrete time model, while data with no ties is analyzed with ordinary Cox regression. Data sets in between are treated by a compromise between the discrete time model and Efron's approach to tied data in survival analysis, and the transitions between modes are automatic. A simulation study is conducted comparing the proposed approach to standard methods of handling ties. A recent suggestion, that revives Breslow's approach to tied data, is finally discussed.