The main purpose of these surveys is to provide data for the study of multiple aspects of household welfare and behavior, analysis of poverty, and understanding the effect of government policies on households.
Kind of data
Sample survey data [ssd]
Unit of analysis
Producers and sponsors
National Statistical Committee (NATSTATCOM)
The World Bank
In order to expedite the survey process, NATSTATCOM used much of the same sample design and survey instruments as those used for the 1993 Baseline Survey. However, the Fall 1996-1998 KPMS surveys used a new sampling frame based on the Kyrgyz Household Registration System. This system was taken from the Census Posts intended for use by the first National Census of the Kyrgyz Republic. Using this system, NATSTATCOM updated the central household registration files effective January 1, 1996, and the information that was used for the sampling frame was as up to date as possible. The procedures followed in the stratification and identification of Primary Sampling Units (PSUs) were similar for all rounds of the KPMS as discussed below.
Formation of Strata
Initially the country was divided into seven (7) strata defined by oblasts (Oblasts are administrative divisions of the country which in turn are sub-divided in to Rayons) and by residence location (i.e. urban vs. rural) within oblasts. The rural portion of Bishkek oblast was combined with the rural portion of neighboring Chui oblast for stratification purposes as Bishkek has practically no rural population.
In analyzing the KPMS datasets, there are two weighting variables that should be used to extrapolate results nationally. These variables are 'Weight' and 'Expansion Factor' and are included in the consumption/expenditure aggregates of the 1997 and 1998 KPMS datasets. The 1996 expenditure aggregate does not have these variables, but average comparative weighting factors can be derived using the inverse of the sampling rate. Weight is a variable derived as a product of household size multiplied by the expansion factor and it is used for household level variables. Expansion factor is a variable that is used for individual level variables.
Dates of collection
Mode of data collection
Data collection supervision
Quality control procedures set forth and utilized by the interviewers included: careful use of sample household location procedures, detailed household member identification and selection for interview procedures, instructions on how to organize household survey materials, instructions on how to appropriately fill the questionnaires, instructions on correction of mistakes, if any, prior to data entry, and documentation of the "incentive payments to the family?16. Quality control procedures set forth for the field supervisors included: review of all cluster materials prior to assigning them to each interviewer, strict control over the activities of a small group of interviewers (3 to 5 interviewers per field supervisor), weekly updates and meetings with each interviewer, verification of 20% of the work of each interviewer via field visits to selected households, and final accounting for and review of all data from each interviewer prior to data entry.
Extensive field survey records were maintained about interviewer assignments, interview questionnaires distributed and utilized, money provided for transportation expenses and incentive payments to participating families. These records were discussed with each oblast coordinator and his/her field supervisors on a weekly basis by telephone or via personal visits to each oblast by a central office staff member.
The KPMS surveys were carried out using a household questionnaire and a community (population point) questionnaire. The household questionnaires were used to collect demographic information on the composition of the household, housing, household consumption including home production, as well as economic activities in agricultural and non-agricultural sectors. For each household member, individual level data on health, education, migration and labor was collected using the household questionnaires. Community questionnaires were used to collect price data and the presence of social services and infrastructure in the community (population point) where the sampled household is located.
The household questionnaire was extensive and required several hours of intense interviewing to gather all that was needed from each household and its embers. The household questionnaire was split into two parts. The first part was used to collect data through a face to face interview on household roster, dwelling, education, health, migration, etc. At the end of the first part, members who shop for food for the whole household and those who know most about income, expenditure and savings of other household members were identified and designated as respondents for the next part (second round). The second round of interview was administered two weeks after the first half and collected data on crops, food and animal products produced by the household, food expenditure and home produced food consumption.
Some sections of the household questionnaire such as those that deal with dwelling and expenditure information were administered to the person most knowledgeable of the family's overall expenditures, income and other finances as well as about the family's business activities and employment. In other sections, each adult in each sample household was interviewed individually. The information gathered from each household included extensive data on education, health, employment, migration, reproduction and reproductive health (for women aged 15 to 49), land use, expenditure, revenue and other financial matters, as well as anthropometric measurements (for children 5 years and younger). Information about children under 14 years of age was collected by asking the relevant questions to the adult household member who is primarily responsible for each child's care.
The community (Population Point) questionnaires were administered to each sample cluster. They were used to collect data on prices of goods and services, distance to schools, shopping and medical facilities, types of housing, commercial and private land use and availability of infrastructure.
The KPMS household questionnaires generally contain 15 major sections, and each of these sections covers a separate aspect of household activity. In some cases, the section has sub-sections. These household questionnaires were designed to better assess the changing environment brought about by the advent of a market economy and to enable a more in depth analysis of topics such as housing, health, and education. The various sections of the KPMS household questionnaire are described below.The household questionnaires administered in the KPMS surveys are more or less similar with minor modifications and additions in the successive rounds of the KPMS.
POPULATION POINT QUESTIONNAIRE
The community (population point) questionnaire was used to collect information and data that are relevant to the community/population point where the household is located. The questionnaire was designed to be administered in the geographical area of each sample cluster. It was used to collect data regarding prices of goods and services in the local area and data on community infrastructure. Respondents to these questionnaires are those believed to be well informed members of the community that the interviewers identified by going to the rayon, city, oblast administration or other governmental agency located in the population point6. The questionnaire also contains sections to be administered to retail outlets in the neighborhoods that sell various products such as food, drinks, tobacco products and fuel. Other data collected using the population point questionnaire includes distance to schools, distance to shopping and to medical facilities, commercial and private land use in the community, availability of electricity, water, communication and other infrastructure. Similar population point questionnaires were used in all KPMS. The population point questionnaires were completed by the field supervisors. The population point questionnaire contains nine (9) major sections
Other forms of data appraisal
There are no significant data quality problems, but the following deserve mentioning.
i) Reproductive health/Nutrition Module (section 8): There are many missing observations in this section of the data. During the data collection stage, there was a restriction that only up to 3 (three) adult women (14 to 49 years of age) per household can be interviewed for this section, but even with this restriction, the number of observations with valid data is very low.
ii) Information on parents of household members (section 1B): The ID codes for the Father or Mother of household members in this section are mostly incorrect. The interviewers in most cases used the code for 'relationship to the head of the household' and entered the value of '5' -- i.e. they copied the values of question 3 of section 1A (Roster) instead of copying the ID codes of the Fathers/Mothers of household members from that section.
iii) Anthropometric data (section 15): The anthropometric data are also not very reliable. The height variable varies significantly because in some places it was recorded in inches and in others in Centimeters.
World Bank LSMS
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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:
National Statistical Committee of the Kyrgyz Republic
374 Frunze Street Bishkek,
Kyrgyz Republic 720033
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
3. The researcher will refer to the 1997 Kyrgyz Republic Poverty Monitoring Survey as the source of the information in all publications, conference papers, and manuscripts. At the same time, the National Statistical Committee of the Kyrgyz Republic is not responsable for the estimations reported by the analyst(s).
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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
Kyrgyz Republic National Statistical Committee. Poverty Monitoring Survey (KPMS) 1997. Ref. KGZ_1997_KPMS_v01_M. Dataset downloaded from www.microdata.worldbank.org on [date]
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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.