Overview

Identification

COUNTRY

MNG

TITLE

HSES 2018
 

STUDY TYPE

Sample Frame, Households [sf/hh]
 

Version

VERSION DESCRIPTION

version 1.0
 

PRODUCTION DATE

2020-09-20

Overview

ABSTRACT

The HSES is a nationally representative survey, which aims to evaluate and monitor the income and expenditure of households, update the basket and weights for consumer price index and offer input to the GDP by final consumption method. The HSES is a survey regularly conducted by the NSO and carrying out a Household Socio Economic Survey starting from 1 July 2007 by combining the HIES and Living Standards Measurement Survey. It has now established to conduct in a comprehensive and abbreviated form according to the concept of this survey. The HSES is a survey regularly conducted by the NSO and covers a year period for analysis. The present report period covers the 12 month period of January to December 2018.
 

KIND OF DATA

Sample survey data [ssd]
 

UNITS OF ANALYSIS

Household, household members
 

Scope

NOTES

The survey is nationally representative and covers the whole of Mongolia.
 

Producers and Sponsors

PRIMARY INVESTIGATOR(S)

Metadata Production

METADATA PRODUCED BY

DATE OF METADATA PRODUCTION

2020-04-20

DDI DOCUMENT VERSION

Version 1.0
 

DDI DOCUMENT ID

DDI-MN-NSO-HSES-2018-EN-v0.1

The 2018 HSES used the sampling frame which was developed by the NSO based on 2017 population figures obtained from administrative records. The design of the survey recognizes two explicit strata that urban (Ulaanbaatar, aimag centers), and urban (sum centers and the countryside). The Primary Sampling Unit (PSU) was kheseg in Ulaanbaatar and bags in aimag center and rural areas, and 1836 PSUs covered in survey whole year. In order to comparison of results by aimags, sample was allocated proportionally and PSUs selected two stages of simple random sampling. In Ulaanbaatar, 360 PSUs, 24 PSUs from each aimag (36 PSUs in Darkhan-Uul, 60 PSUs in Orkhon and 12 PSU s in Govisumber aimags) were selected, while for the rural, 48 PSUs (60 PSUs in Uvurkhangai, 60 in Khuvsgul, 24 in Darkhan-Uul, 0 in Orkhon and 24 PSUs in Govisumber aimags). Then 10 households selected from each PSU in urban areas and 8 households in each PSU in rural areas. The sample of 16488 households was allocated as follows: 3,600 in Ulaanbaatar, 5400 in aimag centers and 7488 in rural areas and sum centers. However, the actual sample size used for this analysis is slightly smaller: 3573 households in Ulaanbaatar; 5394 in aimag centers; and 7484 in rural areas. In order to obtain representative statistics for each stratum and for the country as a whole, it was necessary to use sampling weights.

Face-to-face [f2f]

For the data collection of this survey, we used a modern technology that fully automated paper technology is tablet technology. This approach has a number of strengths as collected data is transmitted to the central network just after gathering from the primary level, ensuring the quality and security of data, time, personnel and cost savings. For our previous procedure, field supervisor checked all collected data by enumerators and then data transmitted to a central server of the NSO. Upon receiving data in a central server, a survey team in NSO made logical and other checks for all data transmitted from the field offices and additional clarifications were received from the field offices through the field supervisors. In all cases, it was possible to compare
the listings used for consistency checks against actual questionnaires filled out by households (in fact, during the first round of checks, some households were visited again) and the data were revised whenever an error was found. Basically, three different rounds of consistency checks were applied to the data: first during the data collection by tablet, then during the compilation of the raw data files and finally during the preparation of this report. Before conducting the survey, we
conducted a pilot study of using tablet PCs and conducted training for field supervisors and enumerators to conduct this survey, according to the common understanding, methodology and techniques, and provided preparations
of successfully conducting a survey. We consider that the data quality standards are provided.

The data collected using the CSPro 7.0 software and used the STATA 14.2 software to process and analyze survey results.