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.     

Natural disaster and risk-sharing behavior: Evidence from rural Bangladesh

Journal of Risk and Uncertainty - Using a unique field experiment in rural Bangladesh, this paper investigates how exposure to a natural disaster affects risk-sharing behavior. We conducted a...     

Non‐Governmental Organizations' Role for Social Capital and Community Empowerment in Community Development: Experience from Bangladesh

The purpose of this study was to investigate contributions by non‐governmental organizations (NGOs) to social capital and community empowerment that facilitate community development. A multi‐method research approach was conducted, where a number of qualitative data collection methods were employed. Data was collected from two indigenous communities, goldsmith and blacksmith, served by two NGOs—Proshika and Practical Action Bangladesh (PAB). The findings showed that both NGOs played a substantial role in social capital development and community empowerment toward community development. The findings of this study will provide valuable input to the community development field.     

Markov structure based logistic regression for repeated measures: An application to diabetes mellitus data

In longitudinal studies, as repeated observations are made on the same individual the response variables will usually be correlated. In analyzing such data, this dependence must be taken into account to avoid misleading inferences. The focus of this paper is to apply a logistic marginal model with Markovian dependence proposed by Azzalini [A. Azzalini, Logistic regression for autocorrelated data with application to repeated measures, Biometrika 81 (1994) 767–775] to the study of the influence of time-dependent covariates on the marginal distribution of the binary response in serially correlated binary data. We have shown how to construct the model so that the covariates relate only to the mean value of the process, independent of the association parameters. After formulating the proposed model for repeated measures data, the same approach is applied to missing data. An application is provided to the diabetes mellitus data of registered patients at the Bangladesh Institute of Research and Rehabilitation in Diabetes, Endocrine and Metabolic Disorders (BIRDEM) in 1984, using both time stationary and time varying covariates.     

Prediction of risks of sequence of events using multistage proportional hazards model: a marginal-conditional modelling approach

Statistical Methods & Applications - In many studies, sequence of events may occur over time that produce repeated measures with censored observations. Multi-state models are commonly used, and...     

Multiple linear regression model with stochastic design variables

In a simple multiple linear regression model, the design variables have traditionally been assumed to be non-stochastic. In numerous real-life situations, however, they are stochastic and non-normal. Estimators of parameters applicable to such situations are developed. It is shown that these estimators are efficient and robust. A real-life example is given.     

The substitutability of labor between immigrants and natives in the Canadian labor market: circa 1995

This paper examines the substitutability or complementarity between Canadian-born and immigrant workers. These are examined by estimating a set of wage equations using a generalized Leontief production function. The paper finds that, in general, there is no displacement of Canadian-born workers by immigrants. Recent immigrants affect the native-born positively, while older immigrants are neither substitute nor complement for natives. However, the effects differ across industries. Overall, the evidence that immigrants harm the opportunities of native-born workers is scant.