Do Schooling and Work Empower Women in Developing Countries? Gender and Domestic Decisions in Sri Lanka

Our work challenges and points out the limitations of the theoretical presumptions underlying the relationship between empowerment, education, and employment that have been emphasized in both the exiting literature and the current rhetoric to empower women in developing countries. We use survey, life history, and focus group data to empirically examine the relationship between schooling, paid work, and power in domestic decision making for young, married women in Sri Lanka. We argue that the relationship between education, work, and women's control of household decisions is conditioned by the larger social context, and as such, it is likely to reflect the extent to which the division of labor and access to information and economic resources are the bases of domestic power in the society under consideration. Our results make a strong case for the need to move away from broad-based conceptualizations of women's empowerment to a consideration of the specific arenas and dimensions along which women can have power. In focusing on the domestic arena alone, we find that there are important differences in both the nature and determinants of the financial as opposed to the social and organizational dimension of power in Sri Lankan households. Women who control one of these aspects of family decisions do not necessarily control the other, and while education and employment play an important role in determining women's input in financial decisions, they are largely immaterial in determining household decisions related to social and organizational matters. Our results also demonstrate the importance of going beyong simplistic and limited measures of schooling and work to consider more fundamental structural factors involving family, social, and economic organization.     

Mutiple three-decision procedure for comparing several exponential treatments with the best control

In this paper, the three-decision procedures to classify p treatments as better than or worse than one control, proposed for normal/symmetric probability models [Bohrer, Multiple three-decision rules for parametric signs. J. Amer. Statist. Assoc. 74 (1979), pp. 432–437; Bohrer et al., Multiple three-decision rules for factorial simple effects: Bonferroni wins again!, J. Amer. Statist. Assoc. 76 (1981), pp. 119–124; Liu, A multiple three-decision procedure for comparing several treatments with a control, Austral. J. Statist. 39 (1997), pp. 79–92 and Singh and Mishra, Classifying logistic populations using sample medians, J. Statist. Plann. Inference 137 (2007), pp. 1647–1657]; in the literature, have been extended to asymmetric two-parameter exponential probability models to classify p(p≥1) treatments as better than or worse than the best of q(q≥1) control treatments in terms of location parameters. Critical constants required for the implementation of the proposed procedure are tabulated for some pre-specified values of probability of no misclassification. Power function of the proposed procedure is also defined and a common sample size necessary to guarantee various pre-specified power levels are tabulated. Optimal allocation scheme is also discussed. Finally, the implementation of the proposed methodology is demonstrated through numerical example.     

Multiple Comparisons with More than One Control for Exponential Location Parameters Under Heteroscedasticity

In this article we present a simple bootstrap method for time series. The proposed method is model-free, and hence it enables us to avoid certain situations where the bootstrap samples may contain impossible values due to resampling from the residuals. The method is easy to implement and can be applied to stationary and nonstationary time series. The simulation results and the application to real time series data show that the method works very well.     

Am I allowed to be pregnant? Awareness of pregnancy protection laws among migrant domestic workers in Hong Kong

In Hong Kong, pregnancy is not legal grounds for employers to dismiss their migrant domestic workers (MDWs). However a survey of 589 Filipino and Indonesian MDWs in Hong Kong demonstrates that only a third of respondents know their pregnancy rights. Regression analysis of the survey data highlight the statistically significant positive role of being Filipino and length of tenure in Hong Kong in increasing respondents’ rights awareness. Follow-up conversations reveal that workers understand their rights to be contingent upon the presumed morality of their pregnancy (whether they are married, whether their husband is the father) and their employer’s generosity. These findings reveal the influence of the socio-structural frames migrants carry with them from their home countries, and the ones in which they are embedded in their host destinations, in the lack of purchase of a pregnancy rights discourse among MDWs in Hong Kong. Our findings provide new insight into the power of symbolic violence in women migrant workers’ understanding of their rights, and their emphasis on their ‘work ethics’ over their ‘work rights’.     

Challenges and opportunities of business process outsourcing in India

We identify managerial challenges and opportunities faced by business process outsourcing (BPO) firms in India by interviewing 28 executives in lower (n = 10), middle (n = 11), and upper management (n = 7) in 15 BPO firms. Content analysis of the responses revealed human resources and organizationrelated challenges as the most critical issues. SWOT (Strengths, Weaknesses, Opportu-nities, Threats) analysis uncovered future opportunities, e.g., Knowledge Process Outsourcing. Secondary data, from four global research agencies and a national trade association, supported our findings. Organizational changes to address challenges and to exploit opportunities are explored.     

On a Multiple Three-Decision Problem for Comparing Several Treatments with the Best Control

In this article, a multiple three-decision procedure is proposed to classify p (≥2) treatments as better or worse than the best of q (≥2) control treatments in one way layout. Critical constants required for the implementation of the proposed procedure are tabulated for some pre-specified values of probability of no misclassification. Power function of the proposed procedure is defined and a common sample size necessary to guarantee various pre-specified power levels are tabulated under two optimal allocation schemes. Finally the implementation of the proposed methodology is demonstrated through numerical examples based on real life data.     

A Multiple Three-Decision Procedures for Comparing Several Treatments with a Control Under Heteroscedasticity

In this article, the design-oriented two-stage multiple three-decision procedure is proposed to classify a set of normal populations with respect to a control under heteroscedasticity. The statistical tables of percentage points and the power-related design constants, to implement our new two-stage procedure, are given. Sometimes when the sample for the second stage is not available, the one-stage data analysis procedure is proposed. Classifying a treatment better than control when it is actually worse (and vice versa) is known as type III error. Both the two-stage and one-stage procedures control the type III error rate at a specified level. The relationship between the two-stage and one-stage procedures is discussed. Finally, the application of the proposed procedures is illustrated with an example.     

Gender and changing generational relations: Spouse choice in Indonesia

Many Asian societies are undergoing a nuptiality transition that is not only tied integrally to other aspects of family organization, but is also often more complex than standard studies of female age at marriage can reveal. To comprehend some of this complexity, we focus on the patterns of spouse choice for both men and women in central Java. The extent of parental control over mate selection is examined for change over time, gender differences, and likely determinants, including family class, education, premarital work, and residence. It is argued that the current marriage transition in Indonesia reflects both gender and generational hierarchies in the Javanese family system. The analysis is conducted using a multinomial logit model; in general, it yields results strongly supportive of the argument that the determinants of spouse selection differ by gender. The results also show that although there is a dramatic shift towards self-choice marriages, it is occurring within the context of historical and institutional factors specific to Javanese society.