Household Socio-Economic Survey 2008, Endline
Indonesia, 2009
Get Microdata
Reference ID
IDN_2008_SUSETI-ENDLINE_v01_M
Producer(s)
Survey Meter
Metadata
Created on
Dec 13, 2013
Last modified
Dec 13, 2013
Page views
25809
Downloads
17322
Identification
Survey ID number
IDN_2008_SUSETI-ENDLINE_v01_M
Title
Household Socio-Economic Survey 2008
Subtitle
Endline
Translated Title
Survei Sosial Ekonomi Rumah Tangga, Endline 2008
Country/Economy
| Name | Country code |
|---|---|
| Indonesia | IDN |
Study type
Living Standards Measurement Study [hh/lsms]
Series Information
Targeting of social change on the poor has become a priority in many countries in the past two decades in response to financial constraints and policy changes to improve the program's effectiveness in eradicating poverty. The Indonesian government has launched several large-scale anti-poverty program in recent years that have helped reduce poverty, such as cash transfer program (BLT) and the Conditional Cash Transfer (CCT) and the Health Insurance (Askeskin). Targeting improvements in these programs to ensure that program resources are limited in order to reach out to the poor rather than distributed to households afford, remains an ongoing challenge to ensure the efficiency of such programs.
Answering the need to improve the targeting of the results, the National Planning Agency (Bappenas) has asked the World Bank to provide technical assistance in learning how to plan a household targeting system better. research findings will lead the government's decision to develop new methods to identify poor households eligible to various assistance programs. This study is a collaborative effort between the World Bank Office in Jakarta (WBOJ), Central Bureau of Statistics (BPS), and academic researchers who joined the Jameel Poverty Action Lab (J-PAL) at the Massachusetts Institute of Technology (MIT)
Answering the need to improve the targeting of the results, the National Planning Agency (Bappenas) has asked the World Bank to provide technical assistance in learning how to plan a household targeting system better. research findings will lead the government's decision to develop new methods to identify poor households eligible to various assistance programs. This study is a collaborative effort between the World Bank Office in Jakarta (WBOJ), Central Bureau of Statistics (BPS), and academic researchers who joined the Jameel Poverty Action Lab (J-PAL) at the Massachusetts Institute of Technology (MIT)
Abstract
Survey is a technique of gathering information from the public by asking a number of structured questions to respondents. In this case, the key to the success of the collection of information is on the interview process. In addition, the interviewer skills in interacting with respondents in determining the quality of information collected. The interviewer has the main task to make the respondents can participate in surveys and records information from respondents.
Interviewer influence on the success of a survey can be seen in three conditions, which is: First, the interviewer plays a major role in the code 1 answers rate (response rate) were obtained. Second, the interviewer is responsible to initiating (initation) and motivate respondents. Third, the interviewer should handle the parts interactions interviews and debriefing process raw (no bias).
Key to a successful interview is the interviewer is able to invite respondents to participate were interviewed, ensure confidentiality and managed to properly explain the purpose of the survey is being conducted.
Interviewer influence on the success of a survey can be seen in three conditions, which is: First, the interviewer plays a major role in the code 1 answers rate (response rate) were obtained. Second, the interviewer is responsible to initiating (initation) and motivate respondents. Third, the interviewer should handle the parts interactions interviews and debriefing process raw (no bias).
Key to a successful interview is the interviewer is able to invite respondents to participate were interviewed, ensure confidentiality and managed to properly explain the purpose of the survey is being conducted.
Kind of Data
Sample survey data
Unit of Analysis
The unit of analysis are every household member, from every selected household collected general information regarding name, relationship with Head of household, sex and age.
This survey will also ask a number of questions regarding household consumption, as well as a wide range of household characteristics and participation in community activities. In each village will be selected one RT (RT) and in each selected RT will be interviewed 9 household, which one of it is the Head of RT household.
This survey will also ask a number of questions regarding household consumption, as well as a wide range of household characteristics and participation in community activities. In each village will be selected one RT (RT) and in each selected RT will be interviewed 9 household, which one of it is the Head of RT household.
Version
Version Description
v01: basic raw data. Obtained from Survey Meter
Version Notes
Data Household Socioeconomic Survey of Indonesia - Endline 2008 (Idn) also known as SUSETI (Survai Sosial Ekonomi Rumah Tangga Indonesia)
Scope
Notes
From each selected household collected information about the general state of each member of the household including name, relationship to head of household, sex, and age. There will also be asked a number of questions about household consumption, as well as a wide range of household characteristics and participation in community activities. In each village will be selected the Neighborhood (RT) and RT in each selected household is interviewed 9, where one of them is the head of the household RT.
Keywords
Head of household
Household member
Group
Consumption
Household treasure
Household location
Household characteristic
Community Rankings
Trust
Loans
Economic disruption
Welfare
Conflict
Head of Region
Coverage
Geographic Coverage
Coverage provincial representative to the level of the village / district
Universe
Household
Producers and sponsors
Primary investigators
| Name |
|---|
| Survey Meter |
Data collection
Dates of Data Collection
| Start | End | Cycle |
|---|---|---|
| 2009-03-01 | 2009-03-12 | 1 |
Data Collectors
| Name |
|---|
| Survey Meter |
Access policy
Access conditions
Data is available at an external source. Please contact survey meter for more information on the data requests.
Citation requirements
Use of the dataset must be acknowledged using a citation which would include:
- the Identification of the Primary Investigator
- the title of the survey (including country, acronym and year of implementation)
- the survey reference number
- the source and date of download
Disclaimer and copyrights
Disclaimer
Data users claim that the data producer, the official distributor of the data, and the relevant funding agencies are not responsible for the use of data, interpretation, or conclusion based on the use of data.
Contacts
Contacts
| Name | |
|---|---|
| Survey Meter | sm@surveymeter.org |
Metadata production
DDI Document ID
DDI_IDN_2008_SUSETI-ENDLINE_v02_M
Producers
| Name | Affiliation | Role |
|---|---|---|
| Ayu Harlinah | World Bank |
Data Cataloging Staff |
Date of Metadata Production
2013-01-08
Metadata version
DDI Document version
Version 02 (December 2013). Edited version based on Version 01 (Initial version of DDI documentation - January 2013) DDI (DDI_IDN_2008_SUSETI_ENDLINE_v01_M) that was done by Ayu Harlinah (The World Bank).