Living Standards Measurement Study Survey 1996-1997
Brazil, 1996 - 1997
Get Microdata
Reference ID
BRA_1996-1997_LSMS_v01_EN_M_v01_A_OCS
Producer(s)
Brazilian Geographical and Statistical institute (IBGE)
Collections
Metadata
Created on
Oct 20, 2020
Last modified
Nov 08, 2022
Page views
18584
Downloads
74
Identification
Survey ID Number
BRA_1996-1997_LSMS_v01_EN_M_v01_A_OCS
Title
Living Standards Measurement Study Survey 1996-1997
Country
| Name | Country code |
|---|---|
| Brazil | BRA |
Study type
Living Standards Measurement Study [hh/lsms]
Abstract
The objective of the research is to provide adequate information for planning, monitoring and analysis of economic policies and social programs in relation to their impacts on the conditions of home life, especially those of the poorest populations. Substantially, the survey provides an overview of the well-being of household residents and allows the study of its determinants. Starting from the premise that quantifying and situating a problem is not enough, the research seeks explanations that allow indicating solutions. For example, knowing how many poor people there are, how and where they live and what they do is only part of the investigation. In order to produce information that can support more effective solutions, a detailed survey of the causes and consequences of poverty is necessary. The same principle applies to other areas of social welfare. In this way, the survey questionnaire is designed to provide a set of integrated information with the aim of:
· Measure the distribution of well-being and the level of poverty, mainly in areas where subsistence agriculture, the informal economy and seasonal employment predominate
· Describe the patterns of access and use of public services - education, health, basic sanitation, etc.
· Understand how households react to economic conditions and the impacts of government measures
· Allow complex analyses of the relationships between the various aspects of social well-being, such as the impact of health on employment, the pattern of spending on nutritional levels of residents, etc.
The research, however, does not address the various topics investigated with the same depth as the information collected in topical research. At the same time, due to having a small sample, the accuracy of the results is less than that of topical research. However, due to its thematic scope, the research allows a good multidimensional summary of well-being and the study of the interactions between the various factors.
· Measure the distribution of well-being and the level of poverty, mainly in areas where subsistence agriculture, the informal economy and seasonal employment predominate
· Describe the patterns of access and use of public services - education, health, basic sanitation, etc.
· Understand how households react to economic conditions and the impacts of government measures
· Allow complex analyses of the relationships between the various aspects of social well-being, such as the impact of health on employment, the pattern of spending on nutritional levels of residents, etc.
The research, however, does not address the various topics investigated with the same depth as the information collected in topical research. At the same time, due to having a small sample, the accuracy of the results is less than that of topical research. However, due to its thematic scope, the research allows a good multidimensional summary of well-being and the study of the interactions between the various factors.
Kind of Data
Sample survey data [ssd]
Unit of Analysis
Households
Scope
Notes
The scope of the study is:
- Characteristics of dwelling, expenditures
- Demographic characteristics, information on parents
- Migration
- Education
- Health
- Economic activities (labor, employment)
- Fertility, birth history, history of unions
- Income
- Investment
- Credit
- Consumption an expenditure
- Household enterprise
- Agriculture and fisheries
- Standards of Living
- Anthropometry
- Characteristics of dwelling, expenditures
- Demographic characteristics, information on parents
- Migration
- Education
- Health
- Economic activities (labor, employment)
- Fertility, birth history, history of unions
- Income
- Investment
- Credit
- Consumption an expenditure
- Household enterprise
- Agriculture and fisheries
- Standards of Living
- Anthropometry
Topics
| Topic | Vocabulary |
|---|---|
| Migration & Remittances | FAO |
| Health | FAO |
| Labor | FAO |
| Population & Reproductive Health | FAO |
| Financial Sector | FAO |
| Access to Finance | FAO |
| Payment Systems | FAO |
| Agriculture & Rural Development | FAO |
| Food (production, crisis) | FAO |
| Nutrition | FAO |
Coverage
Geographic Coverage
National
Producers and sponsors
Primary investigators
| Name |
|---|
| Brazilian Geographical and Statistical institute (IBGE) |
Funding Agency/Sponsor
| Name | Role |
|---|---|
| The World Bank | Funded the study |
Sampling
Sampling Procedure
(a) THE SAMPLE PLANNING
The sample design of the PPV - Research on Living Standards - was discussed with World Bank technicians and the sample size was determined according to the budget available for the research. As a pilot research, it was chosen to be carried out only in the Northeast and Southeast regions of the country, considering 10 geographic strata, namely: Metropolitan Region of Fortaleza, Metropolitan Region of Recife, Metropolitan Region of Salvador, remainder of the urban area of the Northeast, remainder of rural area of the Northeast, Metropolitan Region of Belo Horizonte, Metropolitan Region of Rio de Janeiro, Metropolitan Region of São Paulo, remainder of the urban area of the Southeast and remainder of the rural area of the Southeast. As in other household surveys conducted by IBGE, a design with two stages of selection was chosen, with stratification of the primary units and selection proportional to a size measure and random selection of the second stage units. The primary unit is the sector of the geographical base of the 1991 Demographic Census and the second stage unit is the household.
(b) SAMPLE SIZE
The sample size for each geographic stratum was fixed at 480 households. In each geographic stratum, the number of sectors to be selected was set at 60 and 8 households in each sector, with the exception of strata that correspond to the rest of the rural area of each Region, where the number of sectors was fixed at 30 and 16 the number of households to be selected by sector, due to the difficulty of access to these sectors, which would imply increase costs. The size of the fixed sample was defended by World Bank technicians due to the experience in other countries where the research was or is being conducted, the need to produce information as quickly as possible and because the research is not intended to produce tabulation with crossings of variables, as occurs with the information from the National Household Sample Survey - PNAD, but to provide trend or variation indicators at very aggregate levels.
(c) THE DEFINITION OF STATISTICAL STRATA
The final sample size of households was fixed according to the cost, more specifically the financial resources available. As a result, the sample size of sectors and the number of households to be selected by sector were also fixed, namely:
- 60 sectors and 8 households per sector, in urban geographic strata and metropolitan regions
- 30 sectors and 16 households per sector, in rural geographic strata
Before the allocation in the income strata, the total sample in the 10 geographic strata had 540 sectors and 4,800 households. Proportional allocation was used, based on the number of occupied permanent private households, obtained by Census 91.
The sample design of the PPV - Research on Living Standards - was discussed with World Bank technicians and the sample size was determined according to the budget available for the research. As a pilot research, it was chosen to be carried out only in the Northeast and Southeast regions of the country, considering 10 geographic strata, namely: Metropolitan Region of Fortaleza, Metropolitan Region of Recife, Metropolitan Region of Salvador, remainder of the urban area of the Northeast, remainder of rural area of the Northeast, Metropolitan Region of Belo Horizonte, Metropolitan Region of Rio de Janeiro, Metropolitan Region of São Paulo, remainder of the urban area of the Southeast and remainder of the rural area of the Southeast. As in other household surveys conducted by IBGE, a design with two stages of selection was chosen, with stratification of the primary units and selection proportional to a size measure and random selection of the second stage units. The primary unit is the sector of the geographical base of the 1991 Demographic Census and the second stage unit is the household.
(b) SAMPLE SIZE
The sample size for each geographic stratum was fixed at 480 households. In each geographic stratum, the number of sectors to be selected was set at 60 and 8 households in each sector, with the exception of strata that correspond to the rest of the rural area of each Region, where the number of sectors was fixed at 30 and 16 the number of households to be selected by sector, due to the difficulty of access to these sectors, which would imply increase costs. The size of the fixed sample was defended by World Bank technicians due to the experience in other countries where the research was or is being conducted, the need to produce information as quickly as possible and because the research is not intended to produce tabulation with crossings of variables, as occurs with the information from the National Household Sample Survey - PNAD, but to provide trend or variation indicators at very aggregate levels.
(c) THE DEFINITION OF STATISTICAL STRATA
The final sample size of households was fixed according to the cost, more specifically the financial resources available. As a result, the sample size of sectors and the number of households to be selected by sector were also fixed, namely:
- 60 sectors and 8 households per sector, in urban geographic strata and metropolitan regions
- 30 sectors and 16 households per sector, in rural geographic strata
Before the allocation in the income strata, the total sample in the 10 geographic strata had 540 sectors and 4,800 households. Proportional allocation was used, based on the number of occupied permanent private households, obtained by Census 91.
Weighting
(a) Obtaining weights
To obtain weights or expansion factors, the natural estimator was used, obtained by the formula directly associated with the sampling plan used in the PPV. In this case, the weight of each household is obtained by the inverse of the probability of including the household in the sample.
(b) Estimation of totals, proportions and ratios
The estimation of totals is made using, for each unit (person or household), the corresponding weight, which was determined for each household in the sample and assigned to each person in that household.
To obtain weights or expansion factors, the natural estimator was used, obtained by the formula directly associated with the sampling plan used in the PPV. In this case, the weight of each household is obtained by the inverse of the probability of including the household in the sample.
(b) Estimation of totals, proportions and ratios
The estimation of totals is made using, for each unit (person or household), the corresponding weight, which was determined for each household in the sample and assigned to each person in that household.
Data Collection
Dates of Data Collection
| Start | End |
|---|---|
| 1996-03 | 1997-03 |
Data Collection Mode
Face-to-face [f2f]
Access policy
Contacts
| Name | Affiliation | URL | |
|---|---|---|---|
| LSMS Data Manager | The World Bank | [email protected] | surveys.worldbank.org/lsms |
Confidentiality
See https://microdata.worldbank.org/index.php/terms-of-use
Access conditions
In receiving these data it is recognized that the data are supplied for use within your organization, andyou agree to the following stipulations as conditions for the use of the data:
1. The data are supplied solely for the use described in this form and will not be made available to other organizations or individuals. Other organizations or individuals may request the data directly.
2. Three copies of all publications, conference papers, or other research reports based entirely or in part upon the requested data will be supplied to:
Fundação Instituto Brasileiro de Geografia e Estatística (IBGE)
e-mail: [email protected]
AND
The World Bank
Development Economics Research Group
LSMS Database Administrator
MSN MC3-306
1818 H Street, NW
Washington, DC 20433, USA
tel: (202) 473-9041
fax: (202) 522-1153
e-mail: [email protected]
3. The researcher will refer to the Research on Standards of Life 1996-97 as the source of the information in all publications, conference papers, and manuscripts. At the same time the IBGE is not responsible for the estimations reported by the analyst (s).
4. Users who download the data may not pass the data to third parties.
5. The database cannot be used for commercial ends, nor can it be sold.
1. The data are supplied solely for the use described in this form and will not be made available to other organizations or individuals. Other organizations or individuals may request the data directly.
2. Three copies of all publications, conference papers, or other research reports based entirely or in part upon the requested data will be supplied to:
Fundação Instituto Brasileiro de Geografia e Estatística (IBGE)
e-mail: [email protected]
AND
The World Bank
Development Economics Research Group
LSMS Database Administrator
MSN MC3-306
1818 H Street, NW
Washington, DC 20433, USA
tel: (202) 473-9041
fax: (202) 522-1153
e-mail: [email protected]
3. The researcher will refer to the Research on Standards of Life 1996-97 as the source of the information in all publications, conference papers, and manuscripts. At the same time the IBGE is not responsible for the estimations reported by the analyst (s).
4. Users who download the data may not pass the data to third parties.
5. The database cannot be used for commercial ends, nor can it be sold.
Citation requirements
Use of the dataset must be acknowledged by including a citation which would include:
- Identification of the Primary Investigator
- Title of the survey (including the year of implementation)
- Survey reference number
- Source and date of download
Example:
Instituto Brasileiro de Geografia e Statistics (IBGE). Living Standards Measurement Study Survey 1996-1997. Ref. BRA_1996_LSMS_v01_M. Dataset downloaded from the World Bank Microdata Library ( www.microdata.worldbank.org ) on [date]
- Identification of the Primary Investigator
- Title of the survey (including the year of implementation)
- Survey reference number
- Source and date of download
Example:
Instituto Brasileiro de Geografia e Statistics (IBGE). Living Standards Measurement Study Survey 1996-1997. Ref. BRA_1996_LSMS_v01_M. Dataset downloaded from the World Bank Microdata Library ( www.microdata.worldbank.org ) on [date]
Disclaimer and copyrights
Disclaimer
The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses
Metadata production
DDI Document ID
DDI_BRA_1996-1997_LSMS_v01_EN_M_v01_A_OCS_FAO
Producers
| Name | Abbreviation | Affiliation | Role |
|---|---|---|---|
| Office of Chief Statistician | OCS | Food and Agriculture Organization | Adoption of metadata for FAM |
| Development Economics Data Group | DECDG | The World Bank | Documentation of the DDI |
DDI Document version
BRA_1996-1997_LSMS_v01_EN_M_v01_A_OCS_v01