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A majority portion of the slum people is involved in service sectors. The city dwellers are somehow dependent on the services of those people. Pure drinking water and hygiene is a significant concern in the slums. Because of the lack of these two items, the slum people are getting sick, which causes the interruption to their services. In addition, they can transmit the diseases they suffer from to the service receiver. With these aims, this study endeavors to explore the willingness to pay of the households who receive the services of the slum people using the mixed-method techniques. Under this technique, 265 households were surveyed through face-to-face interviews, and 10 KIIs were conducted with slum people. The studys findings suggest that the households showed their willingness to pay for the improvement of the water and sanitation facilities in the slums. However, the KIIs findings show that the slum people are not willing to pay for the improvement as they claim that government should finance the project of improving water and sanitation facilities in the slums.
This study aims to assess the net benefit of the kaptai dam on the Karnafuli river in Kaptai, Chittagong, Bangladesh. Kaptai Dam, the only hydroelectricity power source in Bangladesh, provides only 5% electricity demand of Bangladesh. The Dam is loca
The objective of this study is to understand the different behavioral considerations that govern the choice of people to engage in a crowd-shipping market. Using novel data collected by the researchers in the US, we develop discrete-continuous models
Conventional wisdom suggests that large-scale refugees pose security threats to the host community or state. With massive influx of Rohingyas in Bangladesh in 2017 resulting a staggering total of 1.6 million Rohingyas, a popular discourse emerged tha
A new and rapidly growing econometric literature is making advances in the problem of using machine learning methods for causal inference questions. Yet, the empirical economics literature has not started to fully exploit the strengths of these moder
In this paper, we first revisit the Koenker and Bassett variational approach to (univariate) quantile regression, emphasizing its link with latent factor representations and correlation maximization problems. We then review the multivariate extension