Studying Modern Nation‐State in a World‐Historical Perspective: The Instance of Iraq

By examining conceptual and historical approaches on modern state and state formation in the context of Iraq, this paper addresses four interrelated methodological aspects of studying state formation (1) to contest the simplicity of Eurocentric knowledge production in studying state formation especially in the periphery, (2) to bring capital and nation‐state into a relational analysis and to call for research on how they constitute each other historically and geographically, (3) to integrate methodologically local and world‐historical context in understanding the historical complexity of state formation, (4) to problematize the concepts of “capital relation” in order to recognize nature and transformation of nature in the study of state formation.     

Who do migrant associations represent? The role of ‘ethnic deservingness’ and legal capital in migrants’ rights claims in Turkey

Considering that established migrant associations often play an active role in migrants’ rights advocacy, the relationship between them and the growing numbers of irregular migrants needs careful scrutiny. Looking at the encounters between irregular Bulgarian Turkish migrants and associations established by their co-ethnics who hold Turkish citizenship in Turkey, our ethnographic evidence shows that co-ethnic migrant associations mobilise the legal frame of ‘ethnic deservingness’ with the intention of welcoming co-ethnics to the Turkish homeland. In the absence of other formal organisations for rights advocacy, associations’ appeals to this frame emerge as a civic resource for the irregular newcomers in their permanent residency claims. At the same time, the same frame hides unequal power relations within co-ethnic communities, that is, newcomers’ peripheral positions within associations and the economic costs of filing claims via associations. This situation creates a representational gap in the associational context between its active members with higher legal capital and irregular newcomers with lower legal capital. Tackling the problem of representation determined by the legal hierarchy, this study questions whether migrant associations should still be considered important political actors when undocumented/irregular migrants outnumber regulars—especially with regard to the immediate political/legal actions they require.     

A generalized,multi-stage adjusted,latent class linear mixed model for testing genetic association

ABSTRACT

In this study, a Generalized, Multi-Stage Adjusted, Latent Class Linear Mixed Model is proposed for modeling the heterogeneous distributed phenotype and genetic information across the whole genome in the presence of both serial and familial correlations. Genome data were analyzed by applying the proposed model to Genetic Analysis Workshop (GAW) data, and the model results were compared to the results of standard models. Moreover, the potential of the model is discussed compared to simulated data. As a result of model comparisons, the information criteria and the genomic control parameter were found to be smaller. The results of a power analysis show that the proposed model is more powerful.     

Variable selection in linear regression analysis with alternative Bayesian information criteria using differential evaluation algorithm

In statistical analysis, one of the most important subjects is to select relevant exploratory variables that perfectly explain the dependent variable. Variable selection methods are usually performed within regression analysis. Variable selection is implemented so as to minimize the information criteria (IC) in regression models. Information criteria directly affect the power of prediction and the estimation of selected models. There are numerous information criteria in literature such as Akaike Information Criteria (AIC) and Bayesian Information Criteria (BIC). These criteria are modified for to improve the performance of the selected models. BIC is extended with alternative modifications towards the usage of prior and information matrix. Information matrix-based BIC (IBIC) and scaled unit information prior BIC (SPBIC) are efficient criteria for this modification. In this article, we proposed a combination to perform variable selection via differential evolution (DE) algorithm for minimizing IBIC and SPBIC in linear regression analysis. We concluded that these alternative criteria are very useful for variable selection. We also illustrated the efficiency of this combination with various simulation and application studies.     

GMM inference in spatial autoregressive models

In this study, we investigate the finite sample properties of the optimal generalized method of moments estimator (OGMME) for a spatial econometric model with a first-order spatial autoregressive process in the dependent variable and the disturbance term (for short SARAR(1, 1)). We show that the estimated asymptotic standard errors for spatial autoregressive parameters can be substantially smaller than their empirical counterparts. Hence, we extend the finite sample variance correction methodology of Windmeijer (2005 Windmeijer, F. (2005). A finite sample correction for the variance of linear efficient two-step GMM estimators. Journal of Econometrics 126(1):25–51.[Crossref], [Web of Science ®] , [Google Scholar]) to the OGMME for the SARAR(1, 1) model. Results from simulation studies indicate that the correction method improves the variance estimates in small samples and leads to more accurate inference for the spatial autoregressive parameters. For the same model, we compare the finite sample properties of various test statistics for linear restrictions on autoregressive parameters. These tests include the standard asymptotic Wald test based on various GMMEs, a bootstrapped version of the Wald test, two versions of the C(α) test, the standard Lagrange multiplier (LM) test, the minimum chi-square test (MC), and two versions of the generalized method of moments (GMM) criterion test. Finally, we study the finite sample properties of effects estimators that show how changes in explanatory variables impact the dependent variable.     

Matrix mean squared error comparisons of some biased estimators with two biasing parameters

To deal with multicollinearity problem, the biased estimators with two biasing parameters have recently attracted much research interest. The aim of this article is to compare one of the last proposals given by Yang and Chang (2010 Yang, H., and X. Chang. 2010. A new two-parameter estimator in linear regression. Communications in Statistics: Theory and Methods 39 (6):923–34.[Taylor &; Francis Online], [Web of Science ®] , [Google Scholar]) with Liu-type estimator (Liu 2003 Liu, K. 2003. Using Liu-type estimator to combat collinearity. Communications in Statistics: Theory and Methods 32 (5):1009–20.[Taylor &; Francis Online], [Web of Science ®] , [Google Scholar]) and k ? d class estimator (Sakallioglu and Kaciranlar 2008 Sakallioglu, S., and S. Kaciranlar. 2008. A new biased estimator based on ridge estimation. Statistical Papers 49:669–89.[Crossref], [Web of Science ®] , [Google Scholar]) under the matrix mean squared error criterion. As well as giving these comparisons theoretically, we support the results with the extended simulation studies and real data example, which show the advantages of the proposal given by Yang and Chang (2010 Yang, H., and X. Chang. 2010. A new two-parameter estimator in linear regression. Communications in Statistics: Theory and Methods 39 (6):923–34.[Taylor &; Francis Online], [Web of Science ®] , [Google Scholar]) over the other proposals with increasing multicollinearity level.     

A comparison of different procedures for principal component analysis in the presence of outliers

Principal component analysis (PCA) is a popular technique that is useful for dimensionality reduction but it is affected by the presence of outliers. The outlier sensitivity of classical PCA (CPCA) has caused the development of new approaches. Effects of using estimates obtained by expectation–maximization – EM and multiple imputation – MI instead of outliers were examined on the artificial and a real data set. Furthermore, robust PCA based on minimum covariance determinant (MCD), PCA based on estimates obtained by EM instead of outliers and PCA based on estimates obtained by MI instead of outliers were compared with the results of CPCA. In this study, we tried to show the effects of using estimates obtained by MI and EM instead of outliers, depending on the ratio of outliers in data set. Finally, when the ratio of outliers exceeds 20%, we suggest the use of estimates obtained by MI and EM instead of outliers as an alternative approach.     

Profust reliability of linear and circular type F and G systems having two failure criteria under Markov dependency

In this study, the profust reliabilities of (n, f, k): F(G) and < n, f, k > : F(G) systems for Markov dependent components are investigated. Having two failure criteria are the common features of these four systems. The usage of both fuzzy approach and two failure criteria in the same system provides us more realistic approach to evaluate the reliability of more complex systems. The component configurations are examined for both linear and circular sequences and the working principle of systems are studied for both F and G systems. Under all these assumptions, the profust reliabilities of (n, f, k): F(G) and < n, f, k > : F(G) systems are obtained using the distribution of run statistics. Also a new membership function different from the linear membership function which is generally used in the literature is proposed. Some numerical results which allow the comparison of the systems from various perspectives and various figures for both linear and circular type systems are presented. Some special cases (between Markov – iid assumption, conventional – profust reliability) are also considered.     

Political participation beyond borders: a comparative analysis of Turkish youth living in home country,Germany and Belgium

Drawing on data from a large-scale international study [PIDOP – Processes Influencing Democratic Ownership and Participation. 2009–2012. Accessed August 10. http://www.fahs.surrey.ac.uk/pidop/index.htm], the present research examined psychological and demographic factors related to civic and political participation among adolescents and young adults (from 16 to 26 years of age) with a Turkish origin and residing in Belgium (n?=?153), Germany (n?=?204) and Turkey (n?=?253). MANCOVA and one-way ANOVA were employed to address how types of civic, direct and online participation differ by socio-demographic variables. The results indicate that citizenship status was not related with the types of participation, while age, gender and country were significantly related with the type of participation in various degrees. Interaction between all the variables showed that older (20–26), foreign national, male Turkish German sample is significantly more involved in civic participation activities. Results are discussed in light of the naturalization processes of migrant groups abroad and extensive religious involvement of Turkish German sample.