MAS360-无代写
时间:2022-11-12
Project 1: GDP convergence
MAS360 2022–23
GROWTH REGRESSIONS
In neoclassical economic growth models, a country’s per capita growth rate tends to be inversely
related to its starting level of income per person1 In particular, if countries are similar with respect
to structural parameters for preferences and technology, then poor countries tend to grow faster
than rich countries. Thus, there is a force that promotes convergence in levels of per capita income
across countries. One way of testing this theory is the so-called growth regression studies, where a
measure of economic growth is related to potential growth determinants which can be affected by
economic policies. Here we undertake such an approach, using national statistics taken from the
United Nations (averaged mostly from 2009-–2011).
THE TASK
The following data give the average growth in gross domestic product (GDP) per capita, the GDP per
capita and five national health, welfare, and education statistics for about 166 countries —mostly
UN members—, identified by geographical region. An extract from the dataset is shown in Table 1.
Table 1. Extract from the dataset. National averages of GDP growth per capita and growth
determinants.
region fertility ppgdp lifeExpF pctUrban infantMortality gr
Austria Europe 1.35 45158.80 83.55 68.00 3.71 1.80
Belgium Europe 1.83 43814.80 82.81 97.00 3.74 1.60
Brazil America 1.80 10715.60 77.41 87.00 19.02 1.60
Canada America 1.69 46360.90 83.49 81.00 4.93 1.80
Comoros Africa 4.74 736.60 63.18 28.00 62.83 -0.80
Gabon Africa 3.19 12468.80 64.32 86.00 43.77 -0.70
Guatemala America 3.84 2882.30 75.10 50.00 26.27 1.30
Iceland Europe 2.10 39278.00 83.77 94.00 2.06 2.10
Jamaica Caribbean 2.26 4899.00 75.98 52.00 22.02 0.50
Kyrgyzstan Asia 2.62 865.40 72.36 35.00 32.77 0.70
Madagascar Africa 4.49 421.90 68.61 31.00 41.03 -0.30
Mauritania Africa 4.36 1131.10 60.95 42.00 69.93 1.30
Myanmar Asia 1.94 876.20 67.87 34.00 44.80 7.40
Nigeria Africa 5.43 1239.80 53.38 51.00 87.56 2.10
Paraguay America 2.86 2771.10 74.91 62.00 27.38 0.30
Romania Europe 1.43 7522.40 77.95 58.00 12.22 2.80
Serbia Europe 1.56 5123.20 77.05 56.00 10.63 1.40
Spain Europe 1.50 30542.80 84.76 78.00 3.57 1.90
Thailand Asia 1.53 4612.80 77.76 34.00 11.40 2.80
Use the data to investigate the factors influencing GDP growth and possibly suggest
economic policies to foster growth.
1See e.g. R. J. Barro (1991). Economic growth in a cross section of countries. The Quarterly Journal of Economics,
106, pp. 407–443.
A. Bassanini and S. Scarpetta (2001). The driving forces of economic growth: panel data evidence for the OECD countries.
OECD Economic Studies 33, pp. 9–56.
2 MAS360. P1 Economic growth
DATA PROVIDED
The data, as shown on the brief, are available from the Project 1 folder in Blackboard. The dataset
comprises:
region Region of the world: Africa, Asia, Caribbean, Europe, America, Oceania.
fertility Total fertility rate, number of children per woman.
ppgdp Per capita gross domestic product (GDP) in US dollars.
lifeExpF Female life expectancy, years.
pctUrban Percent of population in urban areas.
infantMortality Infant deaths by age 1 year per 1000 live births
gr GDP growth rate
WHAT WILL BE JUDGED?
This project carries the same weight as projects 2 and 3; half that of project 4.
Many facets will contribute to the assessment of the Project. The report will be judged for
both presentation (including style and detailed preparation) and content (description of problem,
analysis (both what is attempted and ‘correctness’) and interpretation).
SUBMISSION REQUIREMENTS
Produce an Rmarkdown document with your report.
Name the file Project1-yourstudentnumber.Rmd
Submit this file on Blackboard Assignment dropbox by 13.00 on Friday 18 November.
Produce a pdf document with your report. Name the file Project1-yourstudentnumber.pdf
Submit this file on Blackboard Turnitin assignments by 13.00 on Friday 18 November.
GUIDANCE
To use the data provided, you should begin by downloading UNGrowth.csv from the P1 folder
on Blackboard onto your own workspace Then you should be able to read the data into
RStudio.
No explicit page limit is given; you should write as much as is necessary to complete the
assignment appropriately. However, it is unlikely that documents (excluding appendices) will
exceed 10 pages in length.
The report should follow the conventions in the document discussed in class and posted on
Blackboard.
Guidance on electronic submission is available in the admin folder on the Blackboard page.


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