1 / 22

REDATAM+SP WebServer as a tool for dissemination of microdata

REDATAM+SP WebServer as a tool for dissemination of microdata. IPUMS- GLOBAL Workshop Lisbon, Portugal, August 2007. Alejandra Silva CELADE- Population Division of ECLAC, United Nations (1957 – 2007). What is Redatam?.

Leo
Télécharger la présentation

REDATAM+SP WebServer as a tool for dissemination of microdata

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. REDATAM+SP WebServer as a tool for dissemination of microdata IPUMS- GLOBAL Workshop Lisbon, Portugal, August 2007 Alejandra Silva CELADE- Population Division of ECLAC, United Nations (1957 – 2007)

  2. What is Redatam? • It’s a database management tool that administrates large volumes of census microdata with hierarchical (geographical) structure down to the smallest area of the census exercise (city blocks) • Facilitates the data processing for small areas • How? • by facilitating the NSO the creation of an encrypted database which could be provided to third parties taking into account confidentiality issues • by providing the NSO’s themselves and the end users with a user friendly and fast software for processing large volumes of data, particularly for small areas

  3. What is Redatam? • It was originally (early eighties) developed at CELADE (Latin American Demographic Center/Population Division of ECLAC, United Nations) to promote access to census micro data. • The development of REDATAM was supported mainly by IDRC, CIDA, IDB and UNFPA. REDATAM: REtrieval of census DATa for small Areas by Microcomputers

  4. Which data can be used with Redatam? • Currently, all data sources can be imported into Redatam • - Population, agricultural, and economic censuses • - Vital statistics • - Household and fertility surveys • - Educational and health statistics • - Trade & commerce data, etc.

  5. Characteristics of REDATAM • User friendly software • Administrates Hierarchical databases • Data stored in internal (encrypted) format (no access to individual or household records) • Highly Compressed database • Fast data processing • Multisectoral databases (combining several databases) • User can define geographical area to be processed

  6. Country Province Municipality . . . Block Dwelling Household Person Hierarchical Structured Database

  7. Characteristics of REDATAM • Exportation of (aggregated) results to other software (Excel, ASCII, GIS) • Thematic mapping & Graphs • External data in dbf format can be accessed • On-line Help • Dissemination of Applications on CDs (xPlan) for interactive processing with the microdata as well as aggregated data. • On-line data processing (Redatam WebServer) • Available in English, Portuguese, French and Spanish

  8. Create Process REDATAM+SP FAMILY EIM & EIF Demographic modules GINI module WebServer xPlan

  9. Redatam+SP xPlan Applications • Redatam+ SP Stand Alone applications for population analysis • Redatam+SP xPlan applications for population data dissemination

  10. Redatam Applications for Population Analysis • The Redatam+Sp EIM and EIF Demographic Modules facilitates the indirect estimation of mortality and fertility (stand alone applications) • The Redatam+Sp GINI module designed for the estimation of inequality measures (Gini, Theil and other indicators)

  11. Indirect Mortality Estimation(Redatam+SP EIM) • Was developed to calculate child and infant mortality rates using the Brass method. • This method uses census microdata to indirectly estimate the mortality rate by utilizing survival information derived from the difference between the total number of children born alive and the number of children presently alive. • This information can be obtained from all population censuses or from specific health surveys in all the countries.

  12. Indirect Mortality Estimation(Redatam+SP EIM) • The Brass Method to study of the fertility and mortality of a population • This method requires then the following variables: • Number of women by 5 years age groups, between 15 and 49 years (total, women without declaration of children ever born, and/or children missing); • Number of children ever had, classified by the mother’s age group. • Number of children surviving, classified by the mother’s age group

  13. Indirect Mortality Estimation(Redatam+SP EIM) • The Redatam+SP EIM module requires in the first place completing a parameters file named “EIM.inl”

  14. Indirect Mortality Estimation(Redatam+SP EIM) • In the case of Brazil, 1991 and 2000, the mortality rates for every female cohort were estimated using the entire database and also a control variable was introduced for households to segregate according to socioeconomic quintiles. • In both cases, a weight was used because this census data correspond to a 10% sample of the population. • Once all the parameters are defined in the EIM.inl file, we are ready to run the Redatam+SP EIM module.

  15. Indirect Mortality Estimation(Redatam+SP EIM) Main window with the basic parameters used to run the model

  16. Output window with the mortality rates for each female cohort, for Brazil census1991and 2000. The mean parity P(i), that is, the average number of children that women in each group of age ever had. A woman aged 45-49 at the end of her reproductive life has had an average of 4.22 children according to the 1991 census and 3.39 children according to the 2000 census

  17. Infant mortality rate calculation by Quintiles Brazil, 1991 census • The Brass technique (using the Coale-Trussel variant) is utilized. Then, the q(x) values are interpolated into the West family of the model life tables of Coale & Demeny (column 9) and the corresponding mortality rates - q(1) and q(5) values are obtained.

  18. Infant mortality drop in Brazil, according to different sources

  19. Infant mortality rate calculation by Quintiles Brazil, 1991 and 2000 census • Brazil has reduced its infant mortality rate significantly in the last few years. • Infant mortality has decreased across all socio-economic levels of the population (quintiles), controlled by area of residence (urban versus rural) showed by the negative percentages of variation. • The magnitude of this reduction has varied in each level, reflecting social inequalities.

  20. Infant mortality rate calculation by Quintiles Brazil, 1991 and 2000 census • However, it shows a large intraregional variation which, moreover, failed to decline at all in the 1990s. • As a conclusion we can say that the recent drop in infant mortality in the country (as in other countries of Latin America) has not been accompanied, at least not systematically, by a decrease in the gaps between administrative units.

  21. Redatam xPlan Applications for Microdata Dissemination – The Future • Redatam Development team is focusing more and more into the development of special applications to disseminate population data (for example on CDs or through the Web) using microdata or aggregated data. • Easy and friendly interface; without programming. • Options of tabulations and processes are defined by the user • Allows to process predefined indicators. Allow for graphing and thematic mapping. • Several applications have been undertaken with Census data, vital statistics, industrial census, agricultural census, trade statistics.

  22. CELADE, Population Division of ECLAC celebrates this years its 50th anniversary. And it will continue for many more years giving support to all countries in Population & Development issues. Thank you!

More Related