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Write a paper on Managerial Economics.I want professional and plagiarism free work, please.Attached the requirements. I will send the course slides to help in writing the paper.
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Mini Paper
Managerial Economics
The objective of this assignment is to give you an introduction into conducting empirical research
and presenting the results of that research in a professionally written paper. To carry out this
research, you will identify an economic relationship (or a demand equation) between variables that
are interesting to you. In your paper, you will describe this relationship and present a lucid
argument for the importance of a better understanding of this relationship. And then, collecting
appropriate data, you will empirically estimate this relationship along with all of the appropriate
goodness of fit tests and statistics. Finally, you will analyze and report the results of your empirical
estimation with particular emphasis on how these results are important and useful for a manager
of a business enterprise or an economic agent faced with a choice. Your final report must contain
the following sections:
a. Brief Introduction – Discuss and flesh out the motivation for the economic relationship you
are estimating in this paper. While you do not have to go into lengthy discussions
about the underlying economic theory, it should be sufficiently detailed so the
relationship you are estimating is made clear to the reader. In this section, you should
include a short discussion of the literature. Be sure to tell a story: why do you think
your independent and dependent variables are related? While it does not need to be
exhaustive, pick three to five papers to frame your research and show how it fits in
with prior research. [One way to do this is to tie your hypotheses with prior scholarly
research.]
b. Data Description – Give a brief discussion of the data and how/where they were collected.
At the minimum, you should note the time range of the data, scales of the data (i.e.,
data in millions of dollars or thousands of tons, etc.), and any notable events that may
be applicable to your data set (such as change in corporate ownership or natural
disasters, etc.). Also, you should describe the institutional setting of your data. (E.g.,
you should discuss the business with an eye towards how some unique industry
practices might have an impact on the specific data that you had collected.) Also
include a table of basic descriptive statistics for your data. Your description of the
data should be aided by carefully drawn, well-labeled charts and figures of your data,
and summary statistics of your data.
c. Regression Model and Results – Carefully develop your regression model. You must
support your model with a “story” of why the right-hand side variables you include
are important and/or with the support of the relevant economic theory (including your
hypotheses). Report your regression results in an equation form (see the textbook for
how this is done) and in table form. Be sure to report all relevant statistics: coefficient
estimates, standard error, R2, various test statistics, etc.
d. Discussion and Diagnostic Tests – Carry out all appropriate “goodness of fit” tests and
briefly discuss the “fit” of your regression equation. Which form is the preferred:
linear or log-linear? Explain your conclusion. Finally, carefully describe what your
empirical results are telling you about your hypothesized economic relationship that
you had outlined in part a.
e. Conclusion – What does your regression tell you about the demand in the industry? What
more can be done in the future?
While there will not be a hard page limit for this paper, overall, this mini report should be
ten to twelve double spaced pages long with 1” margins, not including tables and figures.
Please keep in mind that the objective of this mini project is to get your hands dirty working
with a data set that is interesting to you. As such, we are not looking to break new theoretical
ground – just come up with a simple economic relationship and model it using a simple yet robust
regression.
Style requirements: please use either APA or Chicago/Turabian citation styles. For
additional citation information, see a librarian or the library’s website.
Requirements:
First: One to two page proposal. This will contain a rough description of what you want
to model along with what types of data will be required and how you will
obtain them. Note that it is not necessary that you have the data in hand
by this date.
Second: One to two page progress report. By this time, you should have collected most,
if not all, of your required data. Describe the data: means, variances, etc.
Include a plot of the data.
Your report will, at the minimum, include the following:
• Description of the model (including modifications that were suggested
from the proposal).
• Regression Equation of the model.
• Table(s) that describes the data (means, variances, min, max, # of
observations).
• Figures/plots of the data.
• For any data that has not been collected yet, a complete and detailed
description of when and where the data will be collected (must include
documentation, website, and/or contact information of the (potential)
source).
Third :
Final papers are submitted via Chalk & Wire1. This report should contain
the five sections described on page 1 along with:
a) Simple cover page
b) References (Three sources minimum, must be in proper format)
c) Appendix (at minimum include excel spreadsheet printout of the
regression(s), other possibilities include data description, data
sources, etc.)
Grading:
Only the Progress Report and the Final Paper will be graded. The Progress Report will
make up 25% of the total Mini Paper Grade while the Final Paper will make up the
remaining 75%. Please note that late submissions without prior approval of the instructor
will incur a substantial late penalty. A grading rubric follows.
1
Insufficient
2
Partially
Proficient
3
Proficient
4
Excellent
Progress
Report
Progress
report is
poorly written
and missing
multiple parts
Progress report
missing a
section
Well written paper
includes description of
model, regression
equation, tables of data,
figures and plots, and a
description of remaining
data to be collected
Data
Description
Student does
not clearly
describe their
data.
Data is poorly
described and
lacking
supporting
tables and
figures.
Economic
analysis
Displays clear
lack of
knowledge
and
understanding
of economic
theories and
their
interpretation.
Uses appropriate
economic
terminology to
describe
regression
analysis, and
diagnostic tests,
but does not
provide deep
analysis.
Progress
report
contains all
parts but
writing is
difficult to
read or does
not contain
detailed
descriptions
Data is
described,
and includes
figures, plots
and tables.
Parts of
explanation
may be
missing
Incomplete
discussion of
theories and
economic
relevance.
Grammar
5 or more
errors
Paper is
poorly
organized and
difficult to
follow;
missing
multiple parts
of assignment.
Several errors
(3-4)
Paper is mostly
organized but
difficult to
follow at points.
Paper is missing
multiple parts.
Organization
Data is well-written,
and includes welllabeled figures, plots
and tables as well as
well-written
descriptions
Displays superior
knowledge of relevant
economic theories as
well as their
interpretation relative to
question asked. Places
paper into context of the
literature and provides
the “story” behind the
hypotheses. Discussion
is supported by
regression results, and
diagnostic tests.
Few errors
No errors in grammar,
(1-2)
spelling or punctuation
Paper is
Paper is well organized
organized, but
with clear topic
missing one
sentences and follows a
part.
cohesive train of
thought; includes all
parts outlined in
assignment.
Weight
(max
%)
25%
20%
40%
5%
10%

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