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 Twitter <http://twitter.com/eqpaho> http://twitter.com/eqpaho * * * This message from the Pan American Health Organization, PAHO/WHO, is part of an effort to disseminate information Related to: Equity; Health inequality; Socioeconomic inequality in health; Socioeconomic health differentials; Gender; Violence; Poverty; Health Economics; Health Legislation; Ethnicity; Ethics; Information Technology - Virtual libraries; Research & Science issues. [DD/ KMC Area] Washington DC USA "Materials provided in this electronic list are provided "as is". Unless expressly stated otherwise, the findings and interpretations included in the Materials are those of the authors and not necessarily of The Pan American Health Organization PAHO/WHO or its country members". ---------------------------------------------------------------------------- -------- <http://new.paho.org/equity/> PAHO/WHO Website Equity List - Archives - Join/remove: <http://listserv.paho.org/Archives/equidad.html> http://listserv.paho.org/Archives/equidad.html Twitter <http://twitter.com/eqpaho> http://twitter.com/eqpaho IMPORTANT: This transmission is for use by the intended recipient and it may contain privileged, proprietary or confidential information. If you are not the intended recipient or a person responsible for delivering this transmission to the intended recipient, you may not disclose, copy or distribute this transmission or take any action in reliance on it. If you received this transmission in error, please dispose of and delete this transmission. Thank you.