Suggested dataset for Economics / Innovation / Macro

[hlapp]

From @areff2000 on July 22, 2014 5:37

1.For an Economics dataset, please consider the GDP data, by country by year from World Bank.

http://databank.worldbank.org/data/views/reports/tableview.aspx?isshared=true

2.For an innovation dataset, particularly to rank countries by Innovation, I would recommend mashing up GDP data with labour and capital data.

2.1 Labour would be calculated by:

• population data
• participation data ie % of population in workforce
• may need to adjust for full time/part time.

2.2 Capital would be calculated by including:

• land value (but would have to remove overlap with capital). An issue would be whether to use historical or market values.
• capital value ie stockmarket market values. These figures are easier to access but contain non-tangible components such as goodwill, people and processes. An alternative is to use company tangible assets. In Australia they can be sourced from Tax Office data on data.gov.au.

2.3 A final important element / variable is the satisfaction of citizens. The GINI factors could be used which track distribution of income in a society. Other well-being indicators include OECD report on happiness (140 countries) (oecdbetterlifeindex.org). There are 11 indicators which you can adjust levels to form an aggregate index. [Global Sprint - Summer 14]

Copied from original issue: datacarpentry/datacarpentry#5

[hlapp]

From @tracykteal on July 22, 2014 20:34

That looks like a great dataset. If you want to go ahead and develop a lesson based on this dataset, that would be great. Does economics typically use R or Python or something else?

[hlapp]

From @areff2000 on July 22, 2014 23:42

Will check... I am an innovation person, rather than economics. Innovation is the sub-discipline, economics a parent discipline.

Hope to work on it this afternoon.

Richard

On 23 July 2014 06:34, Tracy Teal notifications@github.com wrote:

That looks like a great dataset. If you want to go ahead and develop a lesson based on this dataset, that would be great. Does economics typically use R or Python or something else?

— Reply to this email directly or view it on GitHub https://github.com/datacarpentry/datacarpentry/issues/5#issuecomment-49796756 .

dr Richard Ferrers ANDS Data Specialist | Outreach Officer formerly [ Research Data Analyst | Client Liaison Officer ]

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[hlapp]

From @tracykteal on July 23, 2014 2:42

OK, sounds good. I think either R or Python would be fine. Thanks for starting this.

[hlapp]

From @areff2000 on July 23, 2014 4:29

Discussed with Economics Professor; Paul Jensen, Uni of Melbourne, who says:

"The standard package in economics is called Stata (owned by the Stata Corporation)! Other packages used include SAS, R and Shazam, but I would suggest that about 80% of research-active, applied, academic economists (perhaps higher for younger economists) would use Stata."

[hlapp]

From @areff2000 on July 23, 2014 6:2

Writing outline in Google Docs at: https://docs.google.com/document/d/1H4NlleHOFvHibxFx4H46Job6RbZvJjgrsGJAHbLMiyc/edit?usp=sharing