This assignment is intended to give you experience in researching, analyzing, organizing, interpreting, evaluating, and presenting real-world data and applying economic theory and analytical techniques to real-world labor markets
This assignment is intended to give you experience in
researching, analyzing, organizing, interpreting, evaluating,
and presenting real-world data and applying economic theory and
analytical techniques to real-world labor markets.
It is highly
suggested that you work on it continually throughout the
semester as we cover relevant topics.
You must work in pairs of your own choosing. I will not mediate
intra-pair issues regarding the distribution of workload, etc.
Please work out any issues with your partner yourself.
Substantial collaboration between pairs and sharing statistical
results between pairs both constitute academic misconduct.
You are to answer the following questions using anunweighted
from the 2016 American Community Survey (ACS)1. These microdata
are available for download in the “Files” section of this
course’s Carmen page.
The sample is a 1/1,000 sample (n = 191,061) of persons in the
noninstitutionalized working-age population (age 18-64) residing
in the USA and is contained in files by the name of
ACSSample2016. Each observation is a real, live human being
living in the United States in 2016 and each column is a
different variable. Files are available in .csv (comma
separated value), .dta (Stata), and .gdt (Gretl) formats on
Carmen.
The codebook for this data is in the appendix to this
assignment. Another appendix describes using binary &
categorical variables in your analyses. You should review and
understand each appendix before you begin.
1 For simplicity, the sample you are receiving is unweighted.
This means that it is not representative. For the sake of this
assignment, assume that it is. Your estimates will be biased, so
take your results with a (small) grain of salt. Because your
sample is unweighted, you will produce slightly different
numbers than any official BLS reports.
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