An empirical analysis of monetary and multidimensional poverty: evidence from a household survey in Pakistan

ABSTRACT

The present study computes multidimensional poverty and compares it with unidimensional estimates of poverty for the district of Mandi Bahuddin in the Punjab province of Pakistan for the years 2010 and 2014. By employing the Foster, Greer and Thorbecke (FGT) and Alkire-Foster Methods, the incidence, severity and depth of unidimensional and multidimensionality poverty was estimated. We found an increase in absolute and relative poverty levels in 2014 as compared to 2010. The multidimensional poverty in terms of household assets has also increased over time. However, the relative proportion of educational and health poverty towards MPI remains higher, thereby calling for a holistic approach to identify multidimensional poverty in the social sector. A comprehensive policy dossier needs to be framed for designing effective poverty alleviation and social welfare programmes in the Punjab, Pakistan.     

Fourth exact moment results for mrbp tests with two or three treatments

MRBP tests were proposed by Mielke and Iyer (1982) to analyze multivariate data for the randomized block design, based on permutation procedures. They obtained the first three exact moments of the MRBP test statistic to approximate its permutation distribution. Tracy and Khan (1991) derived its fourth exact moment, to obtain a better approximating distribution, when there are four or more treatments. In this paper we obtain the fourth exact moment when the number of treatments is less than four.     

Business incubators as international knowledge intermediaries: Exploring their role in the internationalization of start-ups from an emerging market

This paper investigates how business incubators facilitate the international growth of start-up clients originating from emerging markets. Drawing key insights from a network perspective, we explore the processes by which business incubators create international linkages between the networks of knowledge creation and knowledge application. Our analysis of interviews and archival data on five Chinese high-tech business incubators reveals that clients-interface, market-interface, and knowledge recombination practices of the business incubators create international knowledge linkages, which in turn facilitate the international growth of their start-up clients. This role of incubators as knowledge intermediaries is achieved through several networking and learning mechanisms, including clustering and coaching of international clients, upstream and downstream networking in international markets, and client-market matchmaking internally. This study demonstrates business incubators as an efficient modality of internationalization for locally bound international knowledge and network scarce start-up clients.     

Neyman-type sample allocation for domains-efficient estimation in multistage sampling

We consider a problem of allocation of a sample in two- and three-stage sampling. We seek allocation which is both multi-domain and population efficient. Choudhry et al. (Survey Methods 38(1):23–29, 2012) recently considered such problem for one-stage stratified simple random sampling without replacement in domains. Their approach was through minimization of the sample size under constraints on relative variances in all domains and on the overall relative variance. To attain this goal, they used nonlinear programming. Alternatively, we minimize here the relative variances in all domains (controlling them through given priority weights) as well as the overall relative variance under constraints imposed on total (expected) cost. We consider several two- and three-stage sampling schemes. Our aim is to shed some light on the analytic structure of solutions rather than in deriving a purely numerical tool for sample allocation. To this end, we develop the eigenproblem methodology introduced in optimal allocation problems in Niemiro and Wesołowski (Appl Math 28:73–82, 2001) and recently updated in Wesołowski and Wieczorkowski (Commun Stat Theory Methods 46(5):2212–2231, 2017) by taking under account several new sampling schemes and, more importantly, by the (single) total expected variable cost constraint. Such approach allows for solutions which are direct generalization of the Neyman-type allocation. The structure of the solution is deciphered from the explicit allocation formulas given in terms of an eigenvector \({\underline{v}}^*\) of a population-based matrix \(\mathbf{D}\). The solution we provide can be viewed as a multi-domain version of the Neyman-type allocation in multistage stratified SRSWOR schemes.

     

Multiple dependent state repetitive sampling plans with or without auxiliary variable

In this article, a new variable acceptance sampling plan has been developed using the multiple dependent state repetitive sampling scheme for the normal distribution. The plan parameters have been determined so as to minimize the average sample number while satisfying the producer's and the consumer's risks under the operating characteristic function. The multiple dependent state repetitive sampling scheme has also been extended to the case of utilizing an auxiliary variable. The proposed sampling plans are compared with the existing sampling plans.     

Improved estimation of the mean vector for student-t model

Improved James-Stein type estimation of the mean vector μ of a multovaroate Student-t population of dimension p with ν degrees of freedom is considered. In addition to the sample data, uncertain prior information on the value of the mean vector, in the form of a null hypothesis, is used for the estiamtion. The usual maximum liklihood estimator((mle) of μ is obtained and a test statistic for testing H₀:μ=μ₀ is derived. Based on the mle of μ and the tes statistic the preliminary test estimator (PTE), Stein-type shrinkage estimator (SE) and positive-rule shrinkage esiimator (PRSE) are defined. The bias and the quadratic risk of the estimators are evaiuated. The relative performances of the estimators are mvestigated by analyzing the risks under different condltlons It is observed that the FRSE dommates over he other three estimators, regardless of the vaiidity of the null hypothesis and the value ν.     

Poverty assessment as a multidimensional socio-economic concept: the case of the Rawalpindi region in Pakistan

The definition on poverty has progressed into a multidimensional concept focusing more on socio-economic dimensions than being a mere measure of financial deprivation. Corresponding to this advancement, this study investigated the incidence of multidimensional poverty (MDP) in the Rawalpindi region of Pakistan, taking into account three dimensions, i.e. education, health and housing. Findings revealed an inconsistent declining trend of MDP over time. This inconsistency was mainly attributed to observed fluctuations in deprivation levels of education, health and housing in the region. Over time, education deprivation showed a significant net increase. Notably, the magnitude of MDP in rural areas was higher than in urban areas.     

‘WE ARE SCATTERED LIKE SEEDS AND THE WORLD IS FULL OF US’ (N. A. FROM AFGHANISTAN)1

This article does not have an abstract     

Youth underemployment: A review of research on young people and the problems of less(er) employment in an era of mass education

In this article, we examine the problem of youth underemployment and how it is conceptualised, operationalised and understood within wider sociology, with particular focus on the sociology of youth and youth studies literature. We outline the contours of this body of work, showing how in most cases underemployment is undefined and used as a general term to describe the challenges and inadequacies of the contemporary labour market for young people. Further, we show how despite a lack of clarity, most researchers in this field contend that underemployment is increasing for young people, becoming a normative experience, cutting across class, ethnicity and gender. For some, however, underemployment is a ‘choice’, but as the literature shows, how different groups of young people respond to underemployment varies. In addition, we show how overeducation, another form of underemployment, is being understood by both researchers and young people as a ‘new normal’ rather than being challenged as another flank in the on-going neo-liberalisation and massification of education. We conclude with a call to think through the ideas presented and to develop new understandings of youth underemployment that can facilitate change. The sensitising concept of less(er) employment is proposed as best placed to facilitate this reanimation.     

Risk and Benefit Perceptions of Mobile Phone and Base Station Technology in Bangladesh

Research in developed countries showed that many citizens perceive that radio signals transmitted by mobile phones and base stations represent potential health risks. Less research has been conducted in developing countries focused on citizen perceptions of risks and benefits, despite the recent and rapid introduction of mobile communication technologies. This study aims to identify factors that are influential in determining the tradeoffs that Bangladeshi citizens make between risks and benefits in terms of mobile phone technology acceptance and health concerns associated with the technology. Bangladesh was selected as representative of many developing countries inasmuch as terrestrial telephone infrastructure is insubstantial, and mobile phone use has expanded rapidly over the last decade, even among the poor. Issues of importance were identified in a small‐scale qualitative study among Bangladeshi citizens (n = 13), followed by a survey within a sample of Bangladeshi citizens (n = 500). The results demonstrate that, in general, the perceived benefits of mobile phone technology outweigh the risks. The perceived benefits are primarily related to the social and personal advantages of mobile phone use, including the ability to receive emergency news about floods, cyclones, and other natural disasters. Base stations were seen as a symbol of societal advance. The results furthermore suggest that overall risk perceptions are relatively low, in particular health risks, and are primarily driven by perceptions that related to crime and social inconvenience. Perceived health risks are relatively small. These findings show that risk communication and management may be particularly effective when contextual factors of the society where the system is implemented are taken into consideration.