"Grow and multiply": social development, birth rates and demographic transition in the Municipality of São Paulo, Brazil, time-series for 1901-94

This study reports the construction of time-series related to standardized mortality rate, proportional mortality ratio of Swaroop and Uemura, infant mortality rate, fetal death rate, expectation of life at birth and birth rate for the city of São Paulo, SP, Brazil, from 1901 to 1994. In order to determine the structural variation of these measures, the model, forecast and correlation of these series were submitted to statistical analysis. The results obtained were compared to the historical analysis of the major socioe-conomic phenomena during this period in an effort to explain populational movements in the city, with emphasis on the slow and late nature of the process of demographic transition in the city. It was concluded that time-series analysis for demographic measures is efficient in many ways: by allowing the application of statistical methodology to the human sciences, by passing the difficulties inherent in the characteristics of these values (serial correlation, heteroscedasticity, multicollinearity and non-normality of forecast error distribution), by integrating quantitative analysis with the historical interpretation of the phenomena approached, by projecting estimates of future trends on the basis of the behavior of the variables analyzed, and by systematizing the methodology for application in future studies of social research.

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Main Author: Antunes,José Leopoldo Ferreira
Format: Digital revista
Language:English
Published: Associação Brasileira de Saúde Coletiva 1998
Online Access:http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-790X1998000100007
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spelling oai:scielo:S1415-790X19980001000072005-08-02"Grow and multiply": social development, birth rates and demographic transition in the Municipality of São Paulo, Brazil, time-series for 1901-94Antunes,José Leopoldo Ferreira Mortality rate Infant mortality Fetal death Life expectancy Birth rate Time-series Population dynamics Municipality of São Paulo Brazil This study reports the construction of time-series related to standardized mortality rate, proportional mortality ratio of Swaroop and Uemura, infant mortality rate, fetal death rate, expectation of life at birth and birth rate for the city of São Paulo, SP, Brazil, from 1901 to 1994. In order to determine the structural variation of these measures, the model, forecast and correlation of these series were submitted to statistical analysis. The results obtained were compared to the historical analysis of the major socioe-conomic phenomena during this period in an effort to explain populational movements in the city, with emphasis on the slow and late nature of the process of demographic transition in the city. It was concluded that time-series analysis for demographic measures is efficient in many ways: by allowing the application of statistical methodology to the human sciences, by passing the difficulties inherent in the characteristics of these values (serial correlation, heteroscedasticity, multicollinearity and non-normality of forecast error distribution), by integrating quantitative analysis with the historical interpretation of the phenomena approached, by projecting estimates of future trends on the basis of the behavior of the variables analyzed, and by systematizing the methodology for application in future studies of social research.info:eu-repo/semantics/openAccessAssociação Brasileira de Saúde ColetivaRevista Brasileira de Epidemiologia v.1 n.1 19981998-04-01info:eu-repo/semantics/articletext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-790X1998000100007en10.1590/S1415-790X1998000100007
institution SCIELO
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country Brasil
countrycode BR
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databasecode rev-scielo-br
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region America del Sur
libraryname SciELO
language English
format Digital
author Antunes,José Leopoldo Ferreira
spellingShingle Antunes,José Leopoldo Ferreira
"Grow and multiply": social development, birth rates and demographic transition in the Municipality of São Paulo, Brazil, time-series for 1901-94
author_facet Antunes,José Leopoldo Ferreira
author_sort Antunes,José Leopoldo Ferreira
title "Grow and multiply": social development, birth rates and demographic transition in the Municipality of São Paulo, Brazil, time-series for 1901-94
title_short "Grow and multiply": social development, birth rates and demographic transition in the Municipality of São Paulo, Brazil, time-series for 1901-94
title_full "Grow and multiply": social development, birth rates and demographic transition in the Municipality of São Paulo, Brazil, time-series for 1901-94
title_fullStr "Grow and multiply": social development, birth rates and demographic transition in the Municipality of São Paulo, Brazil, time-series for 1901-94
title_full_unstemmed "Grow and multiply": social development, birth rates and demographic transition in the Municipality of São Paulo, Brazil, time-series for 1901-94
title_sort "grow and multiply": social development, birth rates and demographic transition in the municipality of são paulo, brazil, time-series for 1901-94
description This study reports the construction of time-series related to standardized mortality rate, proportional mortality ratio of Swaroop and Uemura, infant mortality rate, fetal death rate, expectation of life at birth and birth rate for the city of São Paulo, SP, Brazil, from 1901 to 1994. In order to determine the structural variation of these measures, the model, forecast and correlation of these series were submitted to statistical analysis. The results obtained were compared to the historical analysis of the major socioe-conomic phenomena during this period in an effort to explain populational movements in the city, with emphasis on the slow and late nature of the process of demographic transition in the city. It was concluded that time-series analysis for demographic measures is efficient in many ways: by allowing the application of statistical methodology to the human sciences, by passing the difficulties inherent in the characteristics of these values (serial correlation, heteroscedasticity, multicollinearity and non-normality of forecast error distribution), by integrating quantitative analysis with the historical interpretation of the phenomena approached, by projecting estimates of future trends on the basis of the behavior of the variables analyzed, and by systematizing the methodology for application in future studies of social research.
publisher Associação Brasileira de Saúde Coletiva
publishDate 1998
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-790X1998000100007
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