Assignment Instructions

Quantitative analysis techniques.






Apply quantitative analysis techniques particularly predictive analytics to an empirical study relating real GDP to physical capital and
effective labor. The project requires students to analyze problems, recommend a solution, and
compose a written report.

 Describe the relationship between real GDP and factors that affect it.
 Develop a regression model to analyze the relationship between real GDP and a set of
selected variables;
 Collect relevant data from a selected country(see list below) and apply data analytics to
empirically describe the relationship; create visualizations and tell a story.
 Use the different values of the explanatory variables to real GDP.
 Draw informed conclusions

Task 1 – Data Cleaning
The data is not provided in a suitable state. It is necessary to get the data into a proper format that
supports your analysis. You are required to prepare the data for the analysis – clean the data,
reconcile and make it ready for analysis using Excel, SPSS or Tableau.
Task 2 – Data Visualization
You will also create various visualizations using Excel or Tableau.
Task 3 – Predictive Analytics
Develop and estimate a multiple regression model to determine the relationship between real
GDP, physical capital and effective labor. The following equation will be estimated.

= ln +∝ + +
Y is the real GDP
K is physical capital
L is raw labor,
H is the index of human capital,
LH is the effective labor.
ε is the random error.
You will determine the nature of the production process by determining the magnitude of ∝ + .
If ∝ + = 1, then constant returns to scale.
If ∝ + > 1, then increasing returns to scale
If ∝ + < 1, then decreasing returns to scale.
Also, you can determine the return to education by estimating

= ln +∝ + +
, (3)
And then calculating
− .
It may be a good idea to compare an advanced country and a poor country.
Description of variables
Variable name Variable definition
Emp (L) Number of persons engaged (in millions)
Hc (H) Human capixtal index, based on years of schooling and returns to
Rgdpna (Real GDP) Real GDP at constant 2011 national prices (in mil. 2011US$)
Rnna (K) Capital stock at constant 2011 national prices (in mil. 2011US$)
Task 4 – Report
Write a paper to present your analysis and results which will enable governments to make sound
decisions on how to increase GDP. Use the organization and timeline provided below to
complete the project.
Each project should be at least 5 pages excluding title page, cover page and references. The
project will be organized as follows:
• Title page (Include project title and your name) (5%)
• Introduction: Problem of the propose study, purpose and justification of the study (10%)
• Data analytics – various calculations and estimations (50%)
• Interpretation of results (15%)
• Findings and conclusion. (10%)
• Appendices: Tables and Figures. (5%)
• References (5%)
The project will be written using the APA style. (
Project Timeline
Activity Feb. 26-28 March. 10-20 March 21-27 April 10-25
Selection of
research topic
Submission of
Badge for Big
Estimation of
problem statement
Review of
Secondary data
Primary data
Data analysis
Discussion on the
Final formatting
and submission
Appendix: Selected countries
Number Country
1 Austria
2 Belgium
3 Bulgaria
4 Canada
5 Switzerland
6 Chile
7 China
8 Colombia
9 Germany
10 Denmark
11 France
12 United Kingdom
13 Greece
14 Hungary
15 Indonesia
16 Ireland
17 Iceland
18 Israel
19 Italy
20 Jamaica
21 Japan
22 Kenya
23 Morocco
24 Norway
25 New Zealand
26 Poland
27 Portugal
28 Romania
29 Saudi Arabia
30 Sudan
31 Senegal
32 Singapore
33 Sweden
34 United States
35 Peru




The post Quantitative analysis techniques first appeared on Bestchoice Writers.

Quantitative analysis techniques

Calculate Price

Price (USD)

Why Choose Us For Your Assignment?


We value all our customers' privacy. For that reason, all information stays private and confidential and will never be shared with third parties.


With our service you will never miss a deadline. We use strict follow-ups with our writers to ensure that all papers are submitted on time.


We have no tolerance for plagiarism. All papers go through thorough checking to ensure that no assignments contain plagiarism.

Money Back

You feel unsatisfied with your results? No worries. We offer refunds to our customers if any paper is not written according to the instructions.

Clients Love Us

Client #121678
Client #121678
Read More
This is by far the best I have ever scored in a custom essay. I am surprised the writer handled this assignment so well despite the short notice. I will definitely use your service next time.
Client #21702
Client #21702
Read More
When I was recommended to you by my friends, I wasn't sure you could deliver excellent results for Masters research papers until I submitted my first order. I am all yours now.
Client #20730
Client #20730
Read More
Excellent Services! You are the only assignment helper I can rely on. I have worked with many before and your services are exceptional. I have recommended you to my friends and the results are similar.
Client #20387
Client #20387
Read More
I rarely write reviews online but your services are worth promoting. My paper was so urgent I was sure I was gonna miss the deadline but you turned things around. You are awesome!
Client #20189
Client #20189
Read More
I am a satisfied customer. I know I should have given a 5 star because you deserve it but I will give 4.6 because I almost missed a deadline because of a revision. Luckily it was minor and the writer acted promptly.
Client #20187
Client #20187
Read More
Great paper but there is still some room for improvement. I am impressed by your fast responses and how you tacked my concerns professionally. Thank you for being among the few genuine essay writing service providers.
Client #19783
Client #19783
Read More
I can't thank you enough for being a great part of my college life. I recommended you to two more of my friends. I am sure they will be making their orders soon. I love the fact that you offer free pages for referrals. I will be referring a few more and maybe I won't have to pay for my next two paper, LOL.