Employment income of immigrants in metropolitan areas of Canada, 1980

This paper examines the economic achievements of immigrant groups and compares them with those of the Canadian-born population. Employment income in this study is income for members of the labor force who worked 40 weeks or more, full time, during 1980. The information is from the 1981 Census. The 15 birthplace groups considered in this study are classified into 2 major groups: those from traditional sources and those from non-traditional or new sources. Traditional sources are the US, UK, and Europe. The new sources are Africa, Asia, South and Central America, the Caribbean, and Oceania. More than 1/2 of the immigrants from traditional sources arrived before 1960, whereas more than 1/2 of immigrants from new sources arrived after 1970. The analysis is only for those areas called Census Metropolitan Areas. Results of analysis show that 1) immigrant men and women in metropolitan areas earned 1.9% and 5.9% respectively less than their Canadian-born counterparts; 2) when differences in age and educational attainment were considered, incomes of immigrant men and women were about 7.5% below those of their Canadian-born counterparts; 3) the new immigrant groups earned far less than those of the Canadian-born counterparts; 4) traditional-source immigrants' incomes were equal to or slightly higher than Canadians'; and 5) as length of residence increases, most immigrant groups improve their relative economic position and achieve incomes comparable to Canadians'. The authors discuss the economic adaptation of immigrants in the light of various models: assimilation, Marxist class conflict, ethnic stratification and segmentation, structural pluralism, and structural change. No theory can be applied to the economic adaptation of all types of immigrants. Finally, refugees and sponsored relatives, who are not admitted on the basis of education and occupational need, are likely to have more difficulties than independent immigrants.     

Fuzzy Measures of Longitudinal Poverty in a Comparative Perspective

In this paper we present a methodology for the study of longitudinal aspects of monetary and multi-dimensional poverty, and apply this in a multi-country comparative context. The conventional poor/non-poor dichotomy is replaced by defining poverty as a matter of degree, determined by the place of the individual in the income distribution. The same methodology facilitates the inclusion of other dimensions of deprivation into the analysis: by appropriately weighting indicators of deprivation to reflect their dispersion and correlation, we can construct measures of non-monetary deprivation in its various dimensions. An important contribution of the paper is to identify rules for the intersection and union of fuzzy sets appropriate for the study of poverty and deprivation. These rules allow us to meaningfully study the persistence of poverty and deprivation over time. We establish the consistency of the approach when applied to a time sequence of any length. We can thus study longitudinally over time a whole range of indicators of poverty and deprivation, from cross-sectional monetary poverty rates to multi-dimensional indicators of deprivation: in particular, we propose the new “Fuzzy At-persistent-risk-of-poverty rate”, and compare it with the corresponding Laeken indicator adopted by Eurostat.     

Transport Mode Selection for Toxic Gases: Rail or Road?

A significant majority of hazardous materials (hazmat) shipments are moved via the highway and railroad networks, wherein the latter mode is generally preferred for long distances. Although the characteristics of highway transportation make trucks the most dominant surface transportation mode, should it be preferred for hazmat whose accidental release can cause catastrophic consequences? We answer this question by first developing a novel and comprehensive assessment methodology—which incorporates the sequence of events leading to hazmat release from the derailed railcars and the resulting consequence—to measure rail transport risk, and second making use of the proposed assessment methodology to analyze hazmat transport risk resulting from meeting the demand for chlorine and ammonia in six distinct corridors in North America. We demonstrate that rail transport will reduce risk, irrespective of the risk measure and the transport corridor, and that every attempt must be made to use railroads to transport these shipments.     

Demand Growth in Services: A Discrete Choice Analysis of Customer Preferences and Online Selling

The selling of perishable services (e.g., hotel rooms, airline seats, and rental cars) online is increasingly popular with both retailers and consumers. Among the innovative approaches to online sales is opaque selling. First popularized by Priceline.com's name‐your‐own‐price model, opaque selling hides some attributes of the service (notably, brand and specific location) until after the purchase decision, in exchange for a discounted price. This means that a branded “product” is being sold as somewhat of a commodity, but the brand “name” is protected by the opaque model. The attraction of this model for retailers is that they are presumably able to increase their revenue stream, albeit at a lower rate, by selling rooms that otherwise would remain in inventory. In this article, we outline the development and analysis of an online choice survey to understand consumer preferences among three types of online distribution channels: regular full information sales channels, and opaque sales channels with or without consumer bidding. A Multinomial Logit model is employed to analyze the data and measure the consumer trade‐offs between price and other attributes of the product. We use the estimated model to calculate the incremental demand and revenue created by using an opaque channel simultaneously with regular full information channels. On balance, we find that correctly priced opaque channels can add to hotels revenue streams without undue cannibalization of regular room sales.     

Taylor linearization sampling errors and design effects for poverty measures and other complex statistics

A systematic procedure for the derivation of linearized variables for the estimation of sampling errors of complex nonlinear statistics involved in the analysis of poverty and income inequality is developed. The linearized variable extends the use of standard variance estimation formulae, developed for linear statistics such as sample aggregates, to nonlinear statistics. The context is that of cross-sectional samples of complex design and reasonably large size, as typically used in population-based surveys. Results of application of the procedure to a wide range of poverty and inequality measures are presented. A standardized software for the purpose has been developed and can be provided to interested users on request. Procedures are provided for the estimation of the design effect and its decomposition into the contribution of unequal sample weights and of other design complexities such as clustering and stratification. The consequence of treating a complex statistic as a simple ratio in estimating its sampling error is also quantified. The second theme of the paper is to compare the linearization approach with an alternative approach based on the concept of replication, namely the Jackknife repeated replication (JRR) method. The basis and application of the JRR method is described, the exposition paralleling that of the linearization method but in somewhat less detail. Based on data from an actual national survey, estimates of standard errors and design effects from the two methods are analysed and compared. The numerical results confirm that the two alternative approaches generally give very similar results, though notable differences can exist for certain statistics. Relative advantages and limitations of the approaches are identified.     

Social identity and perceptions about health care service provisioning by and for the Dalits in India

The present study aims to explore perceptions of the women health care providers (Auxiliary Nurse Midwives and Accredited Social Health Activist) and seekers on the basis of their social identity. The health interaction of Dalit health care providers with non-Dalit care seekers and vice versa is studied. Furthermore, this paper discussed the ways by which social identity of the care providers and the care seekers affects rendering and utilisation of health services at grassroots in rural India. A qualitative study design was employed to allow in-depth interviews with the 120 respondents. A thematic analytical framework approach was used to analyse the data. Discrimination in health care access on the basis of social identity was evident. The social identity-based perception which leads to prioritisation and discrimination was visible from both sides – providers as well as seekers. The social identity of the care providers plays an important role in shaping perception of the care seekers about the intent and ability to seek care from them. It has direct implications on health seeking behaviour of the people as it encourages discrimination and widens gap between Dalit and non-Dalit health care providers and seekers both.     

Efficient separate class of estimators of population mean in stratified random sampling

In this paper, efficient class of estimators for population mean using two auxiliary variates is suggested. It has been shown that the suggested estimator is more efficient than usual unbiased estimator in stratified random sampling, usual ratio and product-type estimators, Tailor and Lone (2012 Tailor, R. and Lone, H. A. (2012). Separate ratio-cum- product estimators of finite population mean using auxiliary information. J. Rajasthan Stat. Assoc. 1(2):94–102. [Google Scholar], 2014) estimators, and other considered estimators. The bias and mean-squared error of the suggested estimator are obtained up to the first degree of approximation. Conditions under which the suggested estimator is more efficient than other considered estimators are obtained. An empirical study has been carried out to demonstrate the performances of the suggested estimator.