First assignment (30% of the total grade)
Deadline: 18th February 2014, 6 o’clock pm. Please upload your assignment in
QMPLUS
Instructions: Include all your command, results and comments in a log file. Deliver
both the do file and the log file.
Good luck!
Miners and HIV in Lesotho
Lesotho is a small tiny country completely surrounded by South Africa. During the
last century, a very high fraction of men from Lesotho was employed in South African
mines. Using the 2004 Demographic and Health Surveys from Lesotho
(Lesotho2004.dta) conduct a study to estimate the probability of being HIV positive
for miners in Lesotho (note that the variables starting with “mv” refer to males, the
variables starting with “v” refer to females and the variables starting with “hv” refer to
the household).
In particular:
a. Produce a table with number and the fraction of HIV positive in the whole
sample, for females and for males. Briefly comment your results.
b. Produce a table with the % of males in different job categories and the % of
HIV positive and HIV negative in each job category. Comment the table
focusing on the fraction of miners who HIV positive and HIV negative.
c. Produce summary statistics by gender (mean, standard deviation, minimum
and maximum) of the following variables: HIV positive, age, urban areas,
years of education, primary education, secondary education and tertiary
education, abstinence in the last year, extra marital intercourse in the last year,
condom use during the last intercourse. Comments your results.
d. From the variable describing the type of job of men (see point b above) and
the type of jobs of the partners, generate two new variables. The first one,
using the variable describing males’ job, called “miner” equals to 1 if the
individual is a miner and 0 if he is doing any other type of job. The second
one, using the variable on partners’ job, called “partnerminer” equal to 1 if the
woman’s partner is a miner and 0 if he is doing any other type of job. What is
the fraction of miners in the sample, and of women with a miner as partner?
e. Investigate if in Lesotho, individuals working in the mines have a higher or
lower probability to be infected by HIV compared to individual doing other
type of job. Remember to control for basic socio economic characteristics such
as age, urban and years of education. Comment your results.
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