[co_inspiracion] RV: [EQ] Developing a comprehensive time series of GDP per capita for 210 countries from 1950 to 2015

  • From: "Mario Parada" <mario.parada@xxxxx>
  • To: <co_inspiracion@xxxxxxxxxxxxx>
  • Date: Wed, 1 Aug 2012 11:08:14 -0400

 

 

De: Equity, Health & Human Development [mailto:EQUIDAD@xxxxxxxxxxxxxxxxx] En
nombre de Ruggiero, Mrs. Ana Lucia (WDC)
Enviado el: martes, 31 de julio de 2012 9:24
Para: EQUIDAD@xxxxxxxxxxxxxxxxx
Asunto: [EQ] Developing a comprehensive time series of GDP per capita for
210 countries from 1950 to 2015

 

Developing a comprehensive time series of GDP per capita for 210 countries
from 1950 to 2015

Spencer L James, Paul Gubbins, Christopher JL Murray, Emmanuela Gakidou

Institute for Health Metrics and Evaluation, University of Washington,
Seattle, WA, USA
Population Health Metrics 2012, 10:12 (30 July 2012)


Available online at:  <http://t.co/zqzn3pNS> http://t.co/zqzn3pNS 


Income has been extensively studied and utilized as a determinant of health.
There are several sources of income expressed as gross domestic product
(GDP) per capita, but there are no time series that are complete for the
years between 1950 and 2015 for the 210 countries for which data exist. It
is in the interest of population health research to establish a global time
series that is complete from 1950 to 2015.


Methods

We collected GDP per capita estimates expressed in either constant US dollar
terms or international dollar terms (corrected for purchasing power parity)
from seven sources. We applied several stages of models, including ordinary
least-squares regressions and mixed effects models, to complete each of the
seven source series from 1950 to 2015. The three US dollar and four
international dollar series were each averaged to produce two new GDP per
capita series.


Results and discussion

Nine complete series from 1950 to 2015 for 210 countries are available for
use. These series can serve various analytical purposes and can illustrate
myriad economic trends and features.

The derivation of the two new series allows for researchers to avoid any
series-specific biases that may exist. The modeling approach used is
flexible and will allow for yearly updating as new estimates are produced by
the source series.

Conclusion

GDP per capita is a necessary tool in population health research, and our
development and implementation of a new method has allowed for the most
comprehensive known time series to date. .."

KMC/2012/HSS
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