The Program for Reducing Social Disparities (PRSI) was created in 2016 to provide financial support to poor families in rural areas. A survey of a representative sample of the eligible families was conducted in 2018 in order collect to information on the implementation of the PRSI and its impacts, including data on the characteristics of the target population and coverage rate of the program. Respondents’ responses to the survey were assembled into a database containing the following variables: • ID: Identifier of the family • Gender: the gender of the head of the family (0=women, 1=men) • Expenditure: family’s total expenditures • Education: the family head frequented school (1=yes, 0=no) • Property: the monetary value of the land owned by the family • Age: the age of the family head (5 categories of age). • Beneficiary: the family received the financial support of the PRSI between 2016 and 2018 (1= yes, 0 = no)

Question 1: (30%) 1. Use frequency distribution of age, education and gender to describe the characteristics of the sample. Explain the results of your analysis.

Question 2: (30%) 1. Draw a graph illustrating the distribution of family expenditures. Based on the shape of the graph, is the mean or the median that is more appropriate to measure the level of family expenditures? 2. Analyze the

between education and family expenditures. According to your results, does the education level have an impact on family expenditures? If so, how can this happen? Question 3: (30%) 1. What is the proportion of the beneficiaries of the program? Does this level of coverage is adequate given that approximatively 30% of the annual budget of the PRSI is not used? 2. Compare the beneficiaries and non-beneficiaries on the following variables: gender and property values: a. Do these variables have an impact on the likelihood of benefiting from the program? b. Considering the mission of PRSI, do you recommend maintaining or eliminating the observed impact of gender and property on the access to program funding?

Question 4 (10%) Regress the variable expenditures on the other variables of your study. 1. What are the variables that seems to have an impact on the level of expenditures? 2. Does the program have an impact on the level of expenditures? Based on you results, could you recommend maintaining the program or closing it?

Answer rating: 100% (QA)

Question 1 30 The frequency distributions of age education and gender for this sample can be used to describe the characteristics of the sample For age the majority of respondents 51 were in the 4554 ... View the full answer