Монгол улс

ӨНЭЗС 2002/2003

Living Standards Measurement Study [hh/lsms]

Монгол улсын Үндэсний статистикийн газраас “Өрхийн орлого, зарлага, амьжиргааны түвшний судалгаа”-г Дэлхийн банк болон Нэгдсэн Үндэстний байгууллагын Хөгжлийн Хөтөлбөрийн газрын дэмжлэгтэйгээр 2002-2003 онд эрхлэн явуулсан. Монгол Улс урьд өмнө нь тухайлбал ,”Монгол Улсын Хүн Амын амьжиргааны түвшний үнэлгээ”-ний анхны түүвэр судалгааг Дэлхийн банкны техник, санхүүгийн дэмжлэгтэйгээр1995 онд, хоёр дахь удаагийн судалгааг “Амьжиргааны түвшний түүвэр судалгаа” гэсэн нэрээр 1998 онд Нэгдсэн Үндэстний байгууллагын Хөгжлийн Хөтөлбөрийн газрын дэмжлэгтэйгээр тус тус явуулж байсан. 2002-2003 оны “Өрхийн орлого, зарлага, амьжиргааны түвшний судалгаа”-ны үр дүнг өмнөх онуудын судалгаануудтай шууд харьцуулж болохгүй хэдий ч Монгол улсын сүүлийн 5 жилийн ядуурлын түвшинг тодорхойлоход ихээхэн ту нэмэр болсон юм.

Улаанбаатар, аймгийн төвүүд, хөдөө нутаг болон сумын төвүүд гэсэн гурван илэрхий бүлгийг ашигласан. Мөн Улаанбаатар хотод түүврийг дүүрэг, хороодоор харин хөдөөд аймгуудаар хуваарилсан. Аймгийн төв бүр нэг дэд бүлэг гэдэг нь тодорхой юм.

2008-03-17

Хувилбар 1.0

MNG-NSO-MN-200203-v1.0

The Integrated HIES with LSMS 2002-2003 households are a subset of the household interviewed for the HIES 2002. One third of the HIES 2002 households were contacted again and interviewed on the LSMS topics. The subset was equally distributed among the four quarters.

The HIES 2002, and consequently the Integrated HIES with LSMS 2002-2003, used the 2000 Census as sample frame. 1,248 enumerations areas were part of the sample, which is a two-stage stratified random sample. The strata, or domains of estimation, are four: Ulaanbaatar, Aimag capitals and small towns, Soum centres, and Countryside. At a first stage a number of Primary Sampling Units (PSUs) were selected from each stratum. In the selected PSUs enumerators listed all the households residing in the area, and in a second stage households were randomly selected from the list of households identified in that PSU (10 households were selected in urban areas and 8 households in rural areas).

It should be noted that non-response case of households once selected for the survey exerts unfavorable influence on the representativeness of the survey. Therefore an enumerator should take every step to avoid that. To obtain true and timely survey results a proper agreement should be reached with a selected household before a survey starts. One of the main reasons of non-response is that an enumerator doesn't meet with the household members who are able to give the required information. An enumerator should visit a household at least 3 times within the given period to take the questionnaire.

Another common reason is that a household refuses to participate in the survey. In this case an enumerator should explain the purpose of the survey again, explain that the private data will be kept strictly confidential according to the corresponding law. If necessary an enumerator can ask local statistical division or local administration for the help. However this practice is very seldom.

If there is no possibility to take the questionnaires from the selected households due to weather conditions or disasters, reserved households with numbers 11, 12, 13 respectively from the list provided by the NSO should replace the omitted ones. However the reasons of replacements are to be declared in detail on the form.

No information

The use of the sampling procedure of the survey means that households living in different areas of the country have been selected with differing probabilities. Therefore, in order to obtain representative statistics for each of the strata and for Mongolia, it is necessary to use sampling weights. These weights are applied to each household and correspond to the inverse of the probability of selection, calculated taking into account the sampling strategy.

Face-to-face [f2f]

Procedure of data collecting on the LSMS topics of the Integrated HIES with LSMS 2002-2003 was same with the HIES 2002 data collection procedure.

The HIES 2002 interviewed 11,232 households which were equally distributed in four quarters over the period of one year (from February 2002 to January 2003). In fact the HIES collected monthly consumption information for each household in three consecutive months (quarters). Each month, the interviewer left a diary with the household to be used to record all types of expenditures and consumption deriving either from purchases or from own production, gifts, and barter exchanges. A household makes a record on food purchase every day, whereas a record on non-food goods and services purchase is made at the time when it occurs. Founding on these records an enumerator asks a household about monthly consumption and purchase and fills in the survey questionnaire. At the beginning of the following month an enumerator hands the form to the aimag or district statistical division officers who check the adequacy of the filling in. The procedure is followed by data entering (using data entry program from the NSO) and sending compiled data to the NSO by telecommunication in time.

The data entry program implemented a considerable number of in-built consistency checks that alerted the data entry operator whenever some clear inconsistency was found in the data. This helped to prevent errors and raised the overall quality of the data. At the analysis stage the dataset was also checked for internal consistency and the number of corrections were overall of a limited amount: excessive expenditure values were checked against the paper questionnaire and corrected whenever a data entry mistake was found.