Salinization of the Bangladesh Delta worsens economic precarity

Population and Environment - Anthropogenic environmental changes are having complex effects on all aspects of the hydrological cycle. In estuarine areas, these factors are coalescing...     

Negotiating identities: the lives of Pakistani and Bangladeshi young disabled people

Research has generally amalgamated minority ethnic (all called 'Asian' or 'black') disabled young people's experiences and failed to acknowledge the multiple aspects of Asian and black disabled identities, for example how the combined attributes of race, ethnicity, religion, gender, culture, class and disability shape their perspectives and experiences. In an attempt to address this issue my doctoral research explored the experiences and perspectives of 13 young Pakistani and Bangladeshi disabled people. By drawing on the substantive and theoretical findings which emerged from my analysis in this paper I shall consider how multiple aspects of identity, such as ethnicity, disability and gender, affect this population's identity and self-image and how this makes their experiences different from white disabled young people and other minority groups' experiences.     

Inference in multivariate linear regression models with elliptically distributed errors

In this study we investigate the problem of estimation and testing of hypotheses in multivariate linear regression models when the errors involved are assumed to be non-normally distributed. We consider the class of heavy-tailed distributions for this purpose. Although our method is applicable for any distribution in this class, we take the multivariate t-distribution for illustration. This distribution has applications in many fields of applied research such as Economics, Business, and Finance. For estimation purpose, we use the modified maximum likelihood method in order to get the so-called modified maximum likelihood estimates that are obtained in a closed form. We show that these estimates are substantially more efficient than least-square estimates. They are also found to be robust to reasonable deviations from the assumed distribution and also many data anomalies such as the presence of outliers in the sample, etc. We further provide test statistics for testing the relevant hypothesis regarding the regression coefficients.     

Stringency-based ranking of normality tests

Many parametric statistical inferential procedures in finite samples depend crucially on the underlying normal distribution assumption. Dozens of normality tests are available in the literature to test the hypothesis of normality. Availability of such a large number of normality tests has generated a large number of simulation studies to find a best test but no one arrived at a definite answer as all depends critically on the alternative distributions which cannot be specified. A new framework, based on stringency concept, is devised to evaluate the performance of the existing normality tests. Mixture of t-distributions is used to generate the alternative space. The LR-tests, based on Neyman–Pearson Lemma, have been computed to construct a power envelope for calculating the stringencies of the selected normality tests. While evaluating the stringencies, Anderson–Darling (AD) statistic turns out to be the best normality test.     

Minimum-segment convex drawings of 3-connected cubic plane graphs

A convex drawing of a plane graph G is a plane drawing of G, where each vertex is drawn as a point, each edge is drawn as a straight line segment and each face is drawn as a convex polygon. A maximal segment is a drawing of a maximal set of edges that form a straight line segment. A minimum-segment convex drawing of G is a convex drawing of G where the number of maximal segments is the minimum among all possible convex drawings of G. In this paper, we present a linear-time algorithm to obtain a minimum-segment convex drawing Γ of a 3-connected cubic plane graph G of n vertices, where the drawing is not a grid drawing. We also give a linear-time algorithm to obtain a convex grid drawing of G on an $(\frac{n}{2}+1)\times(\frac {n}{2}+1)$ grid with at most s _n +1 maximal segments, where $s_{n}=\frac{n}{2}+3$ is the lower bound on the number of maximal segments in a convex drawing of G.     

The impact of tourism and finance on women empowerment

The Goal-5 of United Nations Development Agenda for gender equality and women empowerment through equalizing the ratio of girls and boys enrolment in primary education remains suffered in almost every part of the globalized world, which does not even violate the basic human rights while it is the mandatory foundation for global peace and prosperity. The contribution of international tourism development to empower women is the key initiative of the developed world to provide an equal opportunity to the women to sustain their livelihoods. This study focused on the role of international tourism development on women empowerment through mediating a number of financial factors in a panel of 24 selected European countries, over a period of 1990–2015. The results show that financial intermediaries act as a catalyst to empower women through international tourism. More specifically, tourism and financial factors promote (i) gender parity in tertiary enrollment, (ii) gender parity in primary and secondary school enrollment, (iii) female employment, and (iv) women’s share in non-agriculture wage employment, while the results further support the (i) growth-led tourism, (ii) finance-led growth, (iii) growth stimulate women empowerment, and (iv) tourism-induced women’s empowerment hypothesis across countries.     

Native‐Migrant Wage Differential Across Occupations: Evidence from Australia

We investigate wage differential by migrant status across white‐collar and blue‐collar occupations in Australia. Migrants are observed to have a higher wage; this difference, however, does not exist once we control for covariates. The unconditional wage differential varies over wage distribution as well as by occupation. Significant wage differentials are found above the median: positive for white‐collar workers and negative for blue‐collar workers. Using recently developed decomposition methods based on Firpo, Fortin, and Lemieux (2009) we decompose wage differentials across their distribution. Overall, the wage advantage of migrants reflects their superior labour market characteristics, and in particular, their levels of education. We find that English language proficiency plays an important role in wage differences among immigrants from non‐English speaking countries.     

The Intergenerational Effect of Cambodia's Genocide on Children's Education and Health

We investigate the intergenerational impact of conflict on the educational and health outcomes of children born years after the conflict ended by exploiting geographical variation in the intensity of the genocide that occurred during the Khmer Rouge (KR) regime in Cambodia. We find that children of individuals who were of prime marriage age during the genocide and experienced greater intensity of genocide have worse educational and health outcomes. In particular, for each standard deviation increase in the intensity of the genocide, average children's normal grade progression rate decreases by 0.03 standard deviations and average children's height‐for‐ age Z‐score decreases by 0.06 standard deviations. We examine several channels through which genocide could affect children born to survivors after the conflict and find suggestive evidence that the marriage market acts as a channel that transmits the adverse impact of conflict across generations. Our findings are robust to alternative measures of mortality rates and post‐KR internal migration.