Measuring and Understanding Urban Parks’ Contribution to Quality of Life in Istanbul

This study details an application of an improved Water Poverty Index (iWPI) to investigate and assess state of water resources in 53 African countries for the period 2000–2012 with a special focus on an international comparison of water poverty among northern and sub-Saharan countries. A multi-faceted approach that combines physical estimates of water availability with socio-economic drivers of poverty and environmental factors, has been used to do such comparison. It is with this in mind that the iWPI was developed based on the theoretical foundations and recent development of the water poverty approach. This would permit an inclusive comprehension of the crosscutting nature of water issues and their impacts on human wellbeing and environment. The results highlight an obvious dissimilarity of water poverty situation between more developed, but water-poor countries located principally in North Africa with that of lower-income and water-rich countries in sub-Saharan region. This can be used to inform policy makers, governments, donors and other stakeholders to assist in prioritization of appropriate policies to be taken towards better service delivery and sustainable water management across space and time.     

Treacherous Productions of Fantasy: Ağaoğlu Housing Commercials

Ali A?ao?lu is the leading figure in the construction industry in Turkey, specializing in luxury housing estates. His sales figures have reached record levels since the early 2000s, far surpassing those of other similar entrepreneurs’. While governmental policies that prioritize the development of the construction sector partially account for A?ao?lu’s commercial success, we contend that the analysis of popular media images is essential in order to understand his estates’ popularity. Based on a close reading of his media appearances in housing commercials and interviews in the light of psychoanalytical theory, we argue that A?ao?lu has manufactured a realizable fantasy for his clients, which structures their desires in the cultural context of consumer capitalism. However, the limits of A?ao?lu’s fantasy world of housing were tested in an unexpected outbreak in one of his estates, where the homeowers traversed their fantasies.     

On residual lifetime of coherent systems after the rth failure

In this article we study the residual lifetime of a coherent system after the rth failure, i.e. the time elapsed from the rth failure until the system failure given that the system operates at the time of the rth failure. We provide a mixture representation for the corresponding residual lifetime distribution in terms of signature. We also obtain some stochastic ordering results for the residual lifetimes.     

Demographic Data on Syrians in Turkey: What do we know?

With the outbreak of civil war in Syria, Turkey has become the host of the largest refugee population in the world. In a country where reliable population registration systems are only recently established and where no extensive legal arrangements on migration existed prior to the Syrian crisis, the whole refugee situation was handled rather unsystematically, with ever-changing institutions and regulations, and various iterations of both. In this paper we present the demographic statistics that have been made public by different sources from the beginning of the crisis up to today because they are hard to reach in one place accompanied by relevant institutional changes; with the aim of assessing the current demographic data and revealing what is missing.     

Reliability Evaluation for a Multi-State System Under Stress-Strength Setup

The two most commonly used reliability models in engineering applications are binary k-out-of-n:G and consecutive k-out-of-n:G systems. Multi-state k-out-of-n:G and multi-state consecutive k-out-of-n:G systems have been proposed as an extension of these systems and they have been found to be more flexible tool for modeling engineering systems. In this article, multi-state systems, in particular, multi-state k-out-of-n:G and multi-state consecutive k-out-of-n:G, are considered in a stress-strength setup. The states of the system are classified considering the number of components whose strengths above (below) the multiple stresses available in an environment. The exact state probabilities are provided and the results are illustrated for various stress-strength distributions. Maximum likelihood estimators of state probabilities are also presented.     

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.     

A Monte Carlo simulation study on partially adaptive estimators of linear regression models

This paper presents a comprehensive comparison of well-known partially adaptive estimators (PAEs) in terms of efficiency in estimating regression parameters. The aim is to identify the best estimators of regression parameters when error terms follow from normal, Laplace, Student's t, normal mixture, lognormal and gamma distribution via the Monte Carlo simulation. In the results of the simulation, efficient PAEs are determined in the case of symmetric leptokurtic and skewed leptokurtic regression error data. Additionally, these estimators are also compared in terms of regression applications. Regarding these applications, using certain standard error estimators, it is shown that PAEs can reduce the standard error of the slope parameter estimate relative to ordinary least squares.     

In search of disability rights: citizenship and Turkish disability organizations

Criticizing modern citizenship’s emphasis on the ‘nation’ as a homogeneous body of citizens, recent citizenship conceptions draw attention to diverse group identities and their differentiated rights‐claims. By way of scrutinizing different disability organizations, this paper analyzes the struggles by people with disabilities in Turkey and examines whether these could be perceived as claims to new forms of citizenship. It argues that due to the institutional, political, cultural and historical specificities of Turkey, most non‐governmental organizations maintain relations of patronage with state actors. Far from initiating a rights‐based discourse, their activities cannot be perceived within recent citizenship frameworks. Yet, parallel to Turkey’s accession process to the EU and technological developments, alternative forms of organizing started emerging at the virtual level. These are the harbingers of a relatively more rights‐based discourse.     

The E-Bayesian and hierarchical Bayesian estimations for the proportional reversed hazard rate model based on record values

In this paper, E-Bayesian and hierarchical Bayesian estimations of the shape parameter, when the underlying distribution belongs to the proportional reversed hazard rate model, are considered. Maximum likelihood, Bayesian and E-Bayesian estimates of the unknown parameter and reliability function are obtained based on record values. The Bayesian estimates are derived based on squared error and linear–exponential loss functions. It is pointed out that some previously obtained order relations of E-Bayesian estimates are inadequate and these results are improved. The relationship between E-Bayesian and hierarchical Bayesian estimations is obtained under the same loss functions. The comparison of the derived estimates is carried out by using Monte Carlo simulations. A real data set is analysed for an illustration of the findings.     

Robust trading mechanisms over 0/1 polytopes

The problem of designing a trade mechanism (for an indivisible good) between a seller and a buyer is studied in the setting of discrete valuations of both parties using tools of finite-dimensional optimization. A robust trade design is defined as one which allows both traders a dominant strategy implementation independent of other traders’ valuations with participation incentive and no intermediary (i.e., under budget balance). The design problem which is initially formulated as a mixed-integer non-linear non-convex feasibility problem is transformed into a linear integer feasibility problem by duality arguments, and its explicit solution corresponding to posted price optimal mechanisms is derived along with full characterization of the convex hull of integer solutions. A further robustness concept is then introduced for a central planner unsure about the buyer or seller valuation distribution, a corresponding worst-case design problem over a set of possible distributions is formulated as an integer linear programming problem, and a polynomial solution procedure is given. When budget balance requirement is relaxed to feasibility only, i.e., when one allows an intermediary maximizing the expected surplus from trade, a characterization of the optimal robust trade as the solution of a simple linear program is given. A modified VCG mechanism turns out to be optimal.