WHERE THE MINIMUM WAGE BITES HARD: INTRODUCTION OF MINIMUM WAGES TO A LOW WAGE SECTOR

Between 1993 and April 1999 there was no minimum wage in the United Kingdom (except in agriculture). In this paper we study the effects of the introduction of a National Minimum Wage (NMW) in April 1999 on one heavily affected sector, the residential care homes industry. This sector contains a large number of low paid workers and as such can be viewed as being very vulnerable to minimum wage legislation. We look at the impact on both wages and employment. Our results suggest that the minimum wage raised the wages of a large number of care home workers, causing a very big wage compression of the lower end of the wage distribution, thereby strongly reducing wage inequality. There is some evidence of employment and hours reductions after the minimum wage introduction, though the estimated effects are not that sizable given how heavily the wage structure was affected. (JEL: J4, J8)     

Women's employment in Bangladesh agriculture: composition, determinants and scope

Gender composition of labour use and factors determining demand and supply of female labour in crop production is examined using survey data from 14 villages in two agro-ecological regions of Bangladesh. The share of women in labour use ranges between 11–18% in foodgrain (rice and wheat) and 14–48% in non-cereal (highest for vegetables) production. Incidence of female labour hire is very low and varies directly with land size classes while supply from family varies inversely. Cultivation of diverse crops (local and modern varieties of rice, jute, oilseeds and vegetables), education as well as women's ownership of land increases demand for hired female labour. On the other hand, membership in non-governmental organisation and women's ownership of land decreases supply of female labour from the family. Also, sharp regional variation exists in hiring female labour. A decentralised crop diversification policy, gender sensitive educational program as well as institutional arrangement to increase women's access to land would promote women's gainful employment.     

A new sampling method for estimating the population mean

A double L ranked set sampling (DLRSS) method is suggested for estimating the population mean. The DLRSS is compared with the simple random sampling (SRS), ranked set sampling (RSS) and L ranked set sampling (LRSS) methods based on the same number of measured units. The conditions for which the suggested estimator performs better than the other estimators are derived. It is found that, the suggested DLRSS estimator is an unbiased of the population mean, and is more efficient than its counterparts using SRS, RSS, and LRSS methods. Real data sets are used for illustration.     

Multi-level models can benefit from minimizing higher-order variations: an illustration using child malnutrition data

ABSTRACT

This study aims to measure the robustness of multi-level models designed for three anthropometric indices – height-for-age (HAZ), weight-for-age (WAZ) and weight-for-height (WHZ) Z-scores for estimating the childhood malnutrition indicators stunting, underweight and wasting in Bangladesh. The 2011 BDHS child malnutrition data have been used in developing multi-level models with and without incorporating specific contextual variables relating to lower administrative units extracted from the 2011 Bangladesh Population and Housing Census. The robustness of the models is examined through (i) testing significance of random effects corresponding to lower administrative units through selection criteria including conditional AIC, R-squared, and LRT; (ii) comparing multi-level model-based estimators to design-based estimators of child malnutrition indicators with their precision at division, district and sub-district levels; and (iii) assessing the impact of contextual variables in capturing higher-order administrative level variations. Findings reveal that the inclusion of important contextual variables helps capture variations at higher-level administrative units, and consequently assists in the selection of robust multi-level models which ultimately provide improved accuracy of estimated parameters. The findings support the application of lower administrative census information in developing a simpler multi-level model by minimizing higher-order variation.     

Weighted adaptive multivariate CUSUM charts with variable sampling intervals

The adaptive multivariate CUSUM (AMCUSUM) chart has received considerable attention because of its superior sensitivity against a range of mean shift sizes than that of the conventional non-adaptive multivariate CUSUM (MCUSUM) chart. Recently, weighted AMCUSUM (WAMCUSUM) charts with a fixed sampling interval (FSI) have been proposed, called the WAMCUSUM-FSI charts, which provide more sensitivity than the AMCUSUM-FSI charts. In this paper, we extend this work and propose WAMCUSUM charts with variable sampling interval (VSI), named the WAMCUSUM-VSI charts, for efficiently monitoring the mean of a multivariate normally distributed process. The Monte Carlo simulation method is used to compute the average time to signal (ATS) and the adjusted ATS (AATS) profiles of the existing and proposed charts. It is found that the WAMCUSUM-VSI charts perform substantially and nearly uniformly better than the WAMCUSUM-FSI charts in terms of the ATS and AATS performance criterion. An example is given to explain the implementation of the WAMCUSUM charts with fixed and VSIs.     

Estimation of inaccuracy measure for censored dependent data

In the present paper, we propose non parametric estimators for the inaccuracy measure for the lifetime distribution based on censored data. This measure plays important roles in reliability and survival analysis in connection with modeling and analysis of life time data. Asymptotic properties of the estimators are established under suitable regularity conditions. Monte Carlo simulation studies are carried out to compare the performance of the estimators using the mean-squared error. The methods are illustrated using a real data set.     

A new estimator of finite population mean based on the dual use of the auxiliary information

When a sufficient correlation between the study variable and the auxiliary variable exists, the ranks of the auxiliary variable are also correlated with the study variable, and thus, these ranks can be used as an effective tool in increasing the precision of an estimator. In this paper, we propose a new improved estimator of the finite population mean that incorporates the supplementary information in forms of: (i) the auxiliary variable and (ii) ranks of the auxiliary variable. Mathematical expressions for the bias and the mean-squared error of the proposed estimator are derived under the first order of approximation. The theoretical and empirical studies reveal that the proposed estimator always performs better than the usual mean, ratio, product, exponential-ratio and -product, classical regression estimators, and Rao (1991 Rao, T.J. (1991). On certail methods of improving ration and regression estimators. Commun. Stat. Theory Methods 20(10):3325–3340.[Taylor &; Francis Online], [Web of Science ®] , [Google Scholar]), Singh et al. (2009 Singh, R., Chauhan, P., Sawan, N., Smarandache, F. (2009). Improvement in estimating the population mean using exponential estimator in simple random sampling. Int. J. Stat. Econ. 3(A09):13–18. [Google Scholar]), Shabbir and Gupta (2010 Shabbir, J., Gupta, S. (2010). On estimating finite population mean in simple and stratified random sampling. Commun. Stat. Theory Methods 40(2):199–212.[Taylor &; Francis Online], [Web of Science ®] , [Google Scholar]), Grover and Kaur (2011 Grover, L.K., Kaur, P. (2011). An improved estimator of the finite population mean in simple random sampling. Model Assisted Stat. Appl. 6(1):47–55. [Google Scholar], 2014) estimators.     

The Impact of Social Capital on Household Well-being in Pakistan

Social Indicators Research - The main purpose is to check the impact of social capital on households’ objective well-being in the context of a developing country like Pakistan. The primary...     

The effects of pregnancy spacing on infant and child mortality in Matlab, Bangladesh: how they vary by the type of pregnancy outcome that began the interval

Using high-quality longitudinal data on 125,720 singleton live births in Matlab, Bangladesh, we assessed the effects of duration of intervals between pregnancy outcomes on infant and child mortality and how these effects vary over subperiods of infancy and childhood and by the type of outcome that began the interval. Controlling for other correlates of infant and child mortality, we find that shorter intervals are associated with higher mortality. Interval effects are greater if the interval began with a live birth than with another pregnancy outcome. In the first week of the child's life, the effects of short intervals are greater if the sibling born at the beginning of the interval died; after the first month, the effects are greater if that sibling was still alive. Many relationships found are consistent with the maternal depletion hypothesis, and some with sibling competition. Some appear to be due to correlated risks among births to the same mother.     

Regime-specific impact of financial reforms on economic growth in Pakistan

This study uses and proposes a new methodological approach to construct a financial liberalization index on the basis of the dynamic factor model technique. The resulting index is used to investigate the impact of the financial sector reforms in Pakistan on economic growth. Using the Markov regime-switching model over the period 1972–2015, the empirical results showed that the examined relationship is nonlinear, nonmonotonic, state-dependent, and better described by the two-state Markov switching model characterized by the high growth regime and low growth regime. Despite the positive impact of financial liberalization on economic growth in both the high and low growth regimes, financial liberalization relatively strongly affects real GDP growth in the high growth regime. The results further demonstrate that transition probabilities establish an inordinate episode of the low growth regime. Furthermore, the high growth regime is relatively short-lived than the low growth regime. Among the other variables, trade openness and physical capital stock have a positive impact on economic growth, while labor force and government expenditure exert a negative effect on economic growth. Several economic policies are proposed and discussed for better functioning of financial sector development in Pakistan.