A Report On Using Chi Square And A Probit Model For...

Data were analyzed for the two groups of respondents separately by using comparable analysis methods. Besides using descriptive statistics, the study used two econometric models: a Logit Model for estimating determinants of residents’ willingness to pay for the proposed solid waste management services for Delhi and a Probit Model for estimating mean willingness to pay (MWTP). Required statistical significance of selected variables was tested using chi-square (χ2) and t statistics. To differentiate between outcomes from the two groups, data were analyzed and compared to differentiate similarities and divergences between outcomes from the two groups. Possible reasons for similarities and divergences between the estimated findings from the two groups were tried to be identified and discussed for critical policy inputs concerning efficient management of Delhi’s solid waste related services. As discussed earlier, the two groups i.e. intervention and control group used in the present study provided data from 100 and 279 households, respectively with the aim to estimate not only residents’ mean willingness to pay (MWTP) for proposed improved solid waste management services, but also to understand determining factors for their WTP responses. Besides, it also aimed to compare findings from two groups and see whether the interventions made had any impact on residents’ WTP behaviour or not. An attempt had also been made to identify possible reasons for similarities and