Assessing the (eco)macroeconomic performance index of India: A data envelopment analysis approach

The prime objective of this article is to construct a robust macroeconomic performance (MEP) index of the Indian economy using the data envelopment analysis (DEA) approach. Seven major macro indicators, namely, economic growth, employment rate, terms of trade, inflation rate, fiscal deficit, pollution, and climate change are used to compute MEP and Eco‐MEP indices of the Indian economy from 1980–1981 to 2018–2019. Overall, both the MEP and Eco‐MEP index scores have quite similar best performing years worst performing years, and have also captured the major events that affected adversely the Indian economy during the past decades. The trend in the overall performance of the Indian economy was better in the 1980s and the 1990s but has deteriorated since 2000. The autoregressive distributed lag bounds testing approaches to cointegration methods are used to test the robustness/utility of these indices. The estimated results show that MEP and Eco‐MEP have a positive impact on private investment, foreign investment inflows, foreign direct investment, and a negative effect on the current account deficit. Hence, the suggested composite MEP index is stable, robust and truly captures the economic performance of India. The constructed MEP composite index may be used by foreign investors, rating agencies, private investors, and policymakers for their planning and decision‐making processes.     

Support for Gender Stereotypes: Does Madrasah Education Matter?

This paper examines the influence of the institutional nature of schools on gender stereotyping by exploring contrasts between non-religious and Islamic faith (that is madrasah) schools among secondary school-going adolescents in rural Bangladesh. In particular, differences in gender attitudes across school types are explored to elucidate what about schools matters. Using a uniquely designed survey to assess the influence of school type on student characteristics, we find large differences in stereotypical gender attitudes by school type and student gender. Madrasah students in general, and unrecognised madrasah students in particular, show unfavourable attitudes about women and their abilities compared to their peers in non-religious schools. However, these differences are diminished considerably in ordered probit models suggesting that school-level differences are explained by teacher characteristics such as the nature of teacher training and average family size of teachers. These estimated effects are robust to conditioning on a rich set of family characteristics.     

Socio-religious communities and fertility patterns in West Bengal,India

This article explores the fertility differential of different religious groups across various socio-economic characteristics. The article is based on primary data collected from a field survey of 2,590 households in the Malda district of West Bengal in India. The mean number of children ever born (MCEB) is used to measure fertility. The analysis shows that there is a major variation in the impact of various socio-economic variables on the number of children ever born among different religious groups. The study findings will be helpful for policymakers regarding the planning for management of different demographic processes.     

Reverse Gender Gap in Schooling in Bangladesh: Insights from Urban and Rural Households

This paper documents a reverse gender gap in secondary schooling outcomes in Bangladesh drawing upon several rounds of nationally representative household survey data. In terms of enrolment status and years of schooling completed, boys are found to lag behind girls in the rural as well as in the urban area. Within the urban sample, the gender gap is widest in the non-metropolitan area. These findings are robust to extensive control for demand and supply-side determinants of schooling and remain unchanged even when we use a within household estimator. We consider one hypothesis, namely gender-differentiated response to a conditional cash transfer program to reconcile the findings of this reverse gender gap.     

Age at menarche and the related issue: A pilot study on urban school girls

Age at onset of menarche was determined for a group of newly menstruating urban schoolgirls in Bangladesh. Their age at onset of menarche was correlated with their weight, height, and per capita food expenditure (PFE). Results indicated that these girls began menstruation at 12.67 years of age, which is well ahead of rural girls. Age at onset of menarche was positively correlated with weight and negatively correlated with PFE. A strong inverse relation between weight and height of newly menstruating girls indicated the existence of some unstable trend in their physiological processes.Major interests are population education, adolescent psychology, and education.