Using econometric analysis of willingness-to-pay to investigate economic efficiency and equity of domestic water services in the West Bank

The paper is aimed at providing evidence on economic efficiency, and equity of distribution of domestic water services in the West Bank. The study utilizes the CVM as a means of monetizing public preferences and households’ WTP. In the CVM questionnaire, the dichotomous choice with follow-up debriefing questions format is followed by an open-ended follow-up question was undertaken. A second questionnaire survey was directed to employees from water institutions, which was mainly designed to investigate the reasons behind the full absence of private sector in the provision of water supply. The two samples were selected to ensure a representative samples in accordance with the Palestinian case. The main findings of this paper gauged the WTP with key socioeconomic variables suggested by economic theory and previous CVM studies. These results provide information on economic efficiency and equity of water distribution. The results will allow decision makers to develop new policies that can achieve more efficient and equitable domestic water services.     

Reviewing building construction statistics in Turkey: Stakeholders’ perspective

Construction is one of the industries of strategic economic importance. Governments using their national institutions are involved in the collection of economic statistics, which indicate the state of their economy in the form of an annual time series. However, the completeness and accuracy of these statistics is frequently questioned by the stakeholders within the sector. Therefore there is an increasing need for accurate, manageable and reliable statistics to enable sound analysis of the construction sector. The main purpose of this research is to review building construction statistics in Turkey. The objectives of the review are to 1) engage with users to ascertain their views on the statistics and to identify their needs, and 2) investigate whether the statistics in their present form continue to meet user needs, and identify options for change. As part of the review, a user consultation exercise is carried out to identify whether user needs are met by the statistics, as well as to ascertain users’ views on the European Statistical System (ESS) key dimensions of the quality of the statistics. This review of building construction statistics will facilitate statistical information to be presented in a more comprehensive manner, with sufficient detail, highly reliable in terms of quality and responsive to dynamic changes of the sector (such as inflation and structural adjustment policies).     

Deprivation: Endowment and Discrimination?

Social Indicators Research - Due to the lack of good-quality data, there has been no sound research about the economic welfare of the Romani in the countries where they live. Drawing on a...     

Estimation of the population mean and median using truncation-based ranked set samples

In this paper, a new sampling method is suggested, namely truncation-based ranked set samples (TBRSS) for estimating the population mean and median. The suggested method is compared with the simple random sampling (SRS), ranked set sampling (RSS), extreme ranked set sampling (ERSS) and median-ranked set sampling (MRSS) methods. It is shown that for estimating the population mean when the underlying distribution is symmetric, TBRSS estimator is unbiased and it is more efficient than the SRS estimator based on the same number of measured units. For asymmetric distributions considered in this study, TBRSS estimator is more efficient than the SRS for all considered distributions except for exponential distribution when the selection coefficient gets large. When compared with ERSS and MRSS methods, TBRSS performs well with respect to ERSS for all considered distributions except for U(0, 1) distribution, while TBRSS efficiency is higher than that of MRSS for U(0, 1) distribution. For estimating the population median, the TBRSS estimators have higher efficiencies when compared with SRS and ERSS. A real data set is used to illustrate the suggested method.     

Best linear unbiased and invariant estimation in location-scale families based on double-ranked set sampling

Abstract

In this article, we propose the best linear unbiased estimators (BLUEs) and best linear invariant estimators (BLIEs) for the unknown parameters of location-scale family of distributions based on double-ranked set sampling (DRSS) using perfect and imperfect rankings. These estimators are then compared with the BLUEs and BLIEs based on ranked set sampling (RSS). It is shown that under perfect ranking, the proposed estimators are uniformly better than the BLUEs and BLIEs obtained via RSS. We also propose the best linear unbiased quantile (BLUQ) and the best linear invariant quantile (BLIQ) estimators for normal distribution under DRSS. It is observed that the proposed quantile estimators are more efficient than the BLUQ and BLIQ estimators based on RSS for both perfect and imperfect orderings.     

Humerical. Results concerning the mle of an exponential parameter used in life testing

It was previously shown that the maximum likelihood estimator 0 of the scale parameter of the exponential distribution is asymptotically normal for type-I censoring. Applicability of the asymptotic normality results for finite samples is studied here by computer simulation for several different normalizing factors and for various levels of censoring. The use of the asymptotic results in statistical problems is illustrated by an example     

On the estimation of the most probable number in a serial dilution experiment

The purpose of this paper is to present some alternative estimates for the 'most probable number' of bacteria in a serial dilution experiment. These estimates are directed to be less biased than the ordinary maximum likelihood estimate. A numerical example illustrates the extent to which the variance and the mean square error of these estimates are generally less than those corresponding to the maximum likelihood estimate.     

Managing Differentiation‐Integration Duality in Supply Chain Integration*

Existing research focuses on the positive returns to operational performance of firms’ supply chain integration (SCI) with suppliers, buyers, and customers. We draw on differentiation‐integration duality and contingency theory to suggest that manufacturing firms should seek to achieve both integration through supply chain coordination activities and differentiation through modularity‐based manufacturing practices (MBMP). Using a sample of 261 manufacturing firms, we identify an inverse U‐shaped relationship between SCI and operational performance. Furthermore, we find support for the importance of differentiation‐integration duality as a fit between high levels of SCI and high levels of MBMP results in enhanced operational performance. We find support for a contingency perspective as fit is especially critical at higher levels of environmental uncertainty. Implications for theory, practice, and further research are suggested.     

Trafficking,Exploitation and Migration on the Thailand‐Burma Border: A Qualitative Study

Migrant workers from Burma 1 often experience exploitation, abuse and violations at various stages of travel to and within Thailand and in workplaces in Thailand. Guided by Zimmerman et al.'s conceptual framework, which identifies the potential risks associated with trafficking process, this article presents findings from in‐depth interviews with 61 migrant workers living and working in and around Mae Sot, Thailand, on the Thailand‐Burma border, to describe the broader context of irregular migration from Burma to Thailand, and trafficking‐related risks in this context. Results demonstrate that use of transporters (“carries”) and brokers in order to travel to Thailand and find employment can enable trafficking. Moreover, migrant workers are exposed to a range of exploitative experiences in workplaces in Thailand, including violence, coercion, and economic exploitation. This article explores dynamics of migration that can enable trafficking in this context, as well as exploitative working conditions consistent with forced labour.     

The Progress of Financial Market Integration in East Asia

The study investigates the progress of financial market integration in selected East Asian countries after the 1997 financial crisis. Adopting Johansen (Econometrica 59:1551–1580, 1991) multivariate cointegration on the region’s credit and stock markets, the study finds only partial cointegration in both markets which imply a low level of integration. However, for regional stock markets, the result suggests that the level of integration has been improving after the crisis.