Abstract

Poverty is not a simple matter. He is not only related to income. Poverty is associated as well to the lack of fundamental rights to develop and maintain a more dignified life. One of the basic rights of poor people in inherent rights is to have the human value, to be audible voice. Even when defining the "poor", they must be given space to define their poverty with their own perspective and mind.

On the other hand, some of the various poverty reduction programs that have been done in Indonesia, were not exactly targeted, so that often raise conflicts among people, and between communities with the government. Incomplete data and wrong targeting people suspected as some of the causes of these problems. So they who should be the target and get the help do not receive it, and vice versa, they who had not been feasible receive the donation.

Targeting becomes priority for programs of social assistance for poor families. In order to provide better targeting results, it needs to search a better indicator or the effective method to improve the identification of the target households who are feasible for various assistance programs that will be implemented in the future period. This activity is called then the Determination of the Household Welfare Ranking 2008 (P2K08).

This method namely the Determination of the households Welfare Ranking 2008 (P2K08) from the most insecure to the most secure combines participatory approaches and statistical test. District, city and village and village elected in the application of this method are determined randomly.

Geographic coverage

Coverage provincial representative to the level of the village / district.

Analysis unit

The unit of analysis is the community leader or all citizens

Universe

This survey covers the whole village / district.

Kind of data

Sample survey data

Sampling procedure

There will be 12 district cities in 3 provinces where will be carried out Determination of Prosperity Program Rank (P3K), namely North Sumatra, Central Java and South Sulawesi.

BPS will perform the survey in 209 villages of 640 villages. It will be 431 villages that carried out participatory approach, namely 214 villages perform the Community method and 217 villages perform the Hybrida method.

From the total villages that will be done by the participatory method is a combination of ranking the 50% by the figures of RT and 50% by the entire community, 50% done in the afternoon and 50% at evening. There will be 50% of regional discussions on the 10 Poorest Household & 50% No discussion 10 Poorest Households at a meeting of residents in the community.

In every village it will be conducted at 1 RT / village/ circle of the neighborhood and depends on the region. From District to Sub-district election to the Village conducted randomly by the Central Team. While RT / village/ circle of the neighborhood randomly selected by the previous team together with theVillage officials. Each Facilitator will facilitate in the 11-12 RT / village/ circle of the neighborhood.

Mode of data collection

Face-to-face [f2f]

Abstract

The alteration of social targetting toward poor society has become the main priority in many countries for the last two decades as the answer for financial constraint and changing policy to increase program efectivness in fighting against poverty. Indonesian government has implemented a number of anti-poberty programs in large scale during the last couple years which have helped reduce poverty. Such programs are Direct Cash Aid (BLT), Conditional Cash Aid (BTB) and Health Insurance (Askeskin). Targetting improvement on those programs which is intended to guarantee the limited resources to be delivered to the right households, the poor households, instead of the have ones, becomes a continuous challange to guarantee the eficiency of those programs. Meeting the needs to increase the targetting result, National Planning Buro (BAPPENAS) has requested a technical fund to gain better system in targetting the poor households to the World Bank. The findings of this research will lead to new methods to identify poor households who deserve to receive any aid programs established by the government. This research is a colaboration between World Bank Of Jakarta (WBOJ), Bureau of Statistic Centre (BPS), and academic researchers of Jameel Poverty Action Lab (J-PAL) in Massachusettes Institute of Technology (MIT)

Geographic coverage

Coverage provincial representative to the level of the village / district

Analysis unit

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.

Universe

Household

Kind of data

Sample survey data

Sampling procedure

This research project is made up of two stages. The first stage that will be conducted earlier is an end-line survey regarding households expenditure toward the random household samples in the same area as in the second stage. This survay will inquire about household consumption and various characteristics as well as household participations in social activities.

End-line survey will be conducted in three province, they are Central Java, North Sumatra, and South Sulawesi. They aproximately include 640 villages spread all over 12 regencies that randomly selected of 50% urban areas and 50% rural areas. There will be one Rukun Tetangga (RT) in every village and for every chosen RT will be taken 9 households to be interviewed, including the head of the RT. Thereby, there will be 5760 households all together that are going to be interviewed.

In the second stage of the research, BPS and the society facilitators will test a number of different methods to determine eligible households for anti-poverty programs. The methods are Proxy Means that using serial of indicators to predict per capita expenditure and using per capita income as the basis of target assigning, elegibility rules decentralization, and social participation for household eligibility assessment. Every method will generate poor household lists in RT/RW.

In this survey pilot, we will visit Rukun Tetangga (RT)/Rukun Warga (RW)/Lingkungan/Dusun/Lorong of the chosen village and we will only interview 9 households for every village. In order to have sample of households that are going to be interviewed, we must find out the whole number of household in that neighbors/Rukun Warga/Lingkungan/Dusun/Lorong. Thus, there must be preliminary listing of the household first

Mode of data collection

Face-to-face [f2f]

Abstract

Susenas is a survey designed to collect socio-demographic data in large area. The data collected were related to the fields of education, health / nutrition, housing / environmental, socio-cultural activities, consumption and household income, trips, and public opinion about the welfare of household. In 1992, Susenas data collection system has been updated, the information used to develop indicators of welfare (Welfare) contained in the module (information collected once every three years) drawn into the core (group information is collected each year).

In 2005 Susenas implement the module consumption / expenditure and household income. The data collected is the basic ingredient for calculating estimates of poverty based on consumption module Susenas three years (the latest data of 2002). However, given the poverty alleviation is a priority program of the current government; the Central bureau of statistic (BPS) attempted to provide data-poor national estimates on an annual basis. With the collecting data consumption / expenditure details every year it will be estimated annual number of poor people.

To meet the data needs of the government about the development of poor people every year, Panel Susenas collected the consumption and expenditure module data with the total sample of 10,000 households in 2003. The number of samples is only able to estimate the national poverty, while the demands of the availability data of poverty rate up to provincial level is increasing.

Geographic coverage

National coverage, representative to the district level

Analysis unit

Household Members (Individual) and Household

Universe

Implementation Susenas 2005 includes 278,352 households spread across. all geografls regions of Indonesian , with details of 68 288 households sample core-module and 210 064 households core sample (without modules), and 10,640 households sample of Susenas panel that is part of households sample core-module.

Kind of data

Sample survey data [ssd]

Sampling procedure

1. Susenas core

The design of sampling Susenas 2005 and Supas 2005 was conducted in an integrated manner in order to estimates some of the same variable can be done in an integrated manner. Sampling procedures Susenas 2005 for a county / city are as follows:

• Phase 1, from sample frame census block are to be selected census block nh (h = 1, for urban; h = 2, for rural) by probability proportional to size (pps) method whereas size is the number of households from P4B census result (April 2004).

• Phase 2, from nh selected nh census block for Susenas 2005, further referred to as census blocks Susenas. Household listing is conducted to all selected census blocks/sub-blocks.

• Phase 3, selecting m = 16 households in each census block selected systematically, for census block payloads of more than 150 households, it is necessary to selection of a sub-block census in PPS systematically with the size of the number of households P4B enumeration (April 2004).

1. Consumption Module / Household Expenditure and Household income with module sample sizes of consumption / expenditure and household income are designed for presentation at the provincial level. The module sample is section of subsample of selected sample for data estimate in district / city level (Census Block NSES), urban and rural areas. The subsample selected by Systematic Linear Sampling from selected census blocks in each district / city for urban and rural areas. Further census blocks selected (subsample) is the census block core-module, due beside enumerated with questionnaire module, also enumerated the core questionnaire. In other words, the census blocks that will be used to estimates at the provincial level (census block core-module) selected by systematic linear sampling from a list of selected census blocks in each district / city (census block core). Core-module census blocks is not selected 2004 Susenas is core census block.

2. Panel Module consumption /expenditure and household income in addition to the design of the sample selection core-module consumption / expenditure and household income above, in Susenas 2005 was also designed to perform the method of survey panel module consumption / expenditure and household income, where sample census block and panel sample of households (repetition) Susenas 2005 (the implementation in February 2005).

For the presentation of the poverty rate at the national level (February 2005), namely the implementation of the survey panel Susenas 2005 (February 2005), the number of census blocks will be selected from a sample of census blocks Susenas core-module (Susenas 2005, June 2005). The sample selection will be conducted in systematic sampling.

Mode of data collection

Face-to-face