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This paper aims to estimate the global income distribution during the nineties using limited information. In a first stage, we obtain national income distributions considering a model with two parameters. In particular, we propose to use the so-called Lamé distributions, which are curved versions of the Sigh-Maddala and Dagum distributions. The main feature of this family is that they represent parsimonious models which can fit income data adequately with just two parameters and whose Lorenz curves are characterized by only one parameter. In a second stage, global and regional distributions are derived from a finite mixture of these families using population shares. We test the validity of the model, comparing it with other two-parameter families. Our estimates of different inequality measures suggest that global inequality presents a decreasing pattern mainly driven by the fall of the differences across countries during the course of the study period that offsets the increase in disparities within countries.

The present study aims to assess the enrollment scenario of Library and Information Science (LIS) education across different states in India. The study is purely based on the secondary data collected and compiled by the Ministry of Human Resource and Development, Govt. of India under All India Survey of Higher Education (AISHE). The data were retrieved from the official website of the Ministry of Human Resource Development, Govt. of India, for the period from 2011–2012 to 2017–2018. From the data analysis, it emerged that of the 36 states and union territories in India, LIS education is being imparted across 32 states and union territories, accounting nearly 90% states of the country. Tamil Nadu is the leading state in India, producing nearly one-fourth of Library Science graduates each year. The male–female enrollment at the national level stands in the ratio of 48:52 students, respectively. Of the total enrollments made during the period of study, 96% students enrolled in Nagaland were male, while nearly 72% students enrolled in Goa were females. These and many more related aspects of LIS education in India have been discussed in detail.

Sampling units for the 2013 Methods-of-Payment survey were selected through an approximate stratified two-stage sampling design. To compensate for nonresponse and noncoverage and ensure consistency with external population counts, the observations are weighted through a raking procedure. We apply bootstrap resampling methods to estimate the variance, allowing for randomness from both the sampling design and raking procedure. We find that the variance is smaller when estimated through the bootstrap resampling method than through the naive linearization method, where the latter does not take into account the correlation between the variables used for weighting and the outcome variable of interest.

Companies are constantly striving for superior customer service that meets consumers' expectations. Products that do not provide consumers with good service quality are unlikely to meet the expectations of consumers. The aim is to maximize customer satisfaction and achieve financial success by closing gaps to provide high-quality service to consumers. Customers use quality of service to choose a service provider. This does not only include the quality of products or service but also the quality of customer service. The five essential elements (5Es) – experience, emotions, exclusivity, execution and engagement – must be used by companies to ensure that their products and services meet defined standards or customer's expectations. The customer's opinion of a service is formed immediately, regardless of whether it is positive or negative. The result of a negative customer experience is negative word of mouth, which would cause loss in business from dissatisfied customers as well as from potential customers who will no longer use the services. Using the gap model for service quality, this study proposes the essential 5Es of service quality. As a result of the synthesis of this current research, the company's service delivery will be improved by identifying weaknesses. The use of these 5Es for the control of service quality and monitoring of quality defects leads to better understanding and reduction of cost.

We study the statistical properties of Pearson correlation coefficients of Gaussian ranks, and Gaussian rank regressions – ordinary least-squares (OLS) models applied to those ranks. We show that these procedures are fully efficient when the true copula is Gaussian and the margins are non-parametrically estimated, and remain consistent for their population analogs otherwise. We compare them to Spearman and Pearson correlations and their regression counterparts theoretically and in extensive Monte Carlo simulations. Empirical applications to migration and growth across US states, the augmented Solow growth model and momentum and reversal effects in individual stock returns confirm that Gaussian rank procedures are insensitive to outliers.

Natural disasters occur all around the world, in the last two decades these natural disasters have brought sever damages to the world economy. Mostly developing countries bear severe consequences due to these natural disasters. In July 2010, Pakistan faced a massive flood, which affected almost all the countries. The disaster affected all sectors like daily life, transportation, infrastructure, etc., of the country. GOP did not have enough resources to cope with this giant disaster and called for international help. Local and international NGOs participated with GOP in the early phases of recovery. Millions of dollars were given away as the initial impact of this disaster, and GOP and other relief agents have spent other million to provide initial recovery and relief. GOP will need billions of dollars further to continue recovery from the disaster of 2010.

To describe the Pragathi Bandhu Groups (PBG) Model and portray the performance of PBG farmers encouraged by their financial and decision-making participation in micro financing and labor sharing, as well as to analyze the factors that influenced participation of small farmers in PBG.

The empirical study is confined to the small farmers and laborers of PBG functioning in the coastal districts of Karnataka State in India. The study is conducted in Belthangady and Bantwal Taluks of Dakshina Kannada (DK) Districts-Udupi taluk of Udupi District in the State of Karnataka. Primary data from 100 farmer members, selected at random in each of the Taluks, is collected through personal interview by administering semi-structured interview schedules and open discussion. In addition, the data on the functions and the performance of PBG in the State of Karnataka in India are also collected from the official records of Shri Kshetra Dharmasthala Rural Development Project (SKDRDP) and their field-level functionaries through informal discussions. Factor analysis is performed with principal component analysis followed by Varimax rotation to analyze the factors that influenced participation of small farmers in PBG.

Results show that the implementation of PBG Model, through the collective participation of small farmers in micro financing, free labor sharing, financial and decision-making activities underlying the functions of PBG Model, has helped them to achieve robust performance in terms of increased savings mobilization, loan utilization, and value of free labor sharing and acres of land brought under cultivation with the help of irrigation facilities created by them. The factor analysis has derived four factors that influenced the participation of farmers in PBG (agriculture development, financial participation, capacity building, and other benefits) which explain 63.701 of total factor variance.

The findings of this paper can benefit the small farmers and laborers in replicating the PBG Model and its initiatives that address shortages of labor and credit, as well as the high cost of labor, particularly in the unorganized sector in the agrarian economy.

The insights offered are likely to be beneficial to the distressed small farmers, development agencies, and agriculture policy makers to solve the agrarian crisis caused due to shortages of labor and farm credit.