India - Time use survey: 1998
Reference ID | DDI-IND-MOSPI-CSO-TUS-1998-99 |
Year | 0 |
Country | India |
Producer(s) | Central Statistical Organisation(CSO) - M/o Statistcs and Programme Implementation(MOSPI),Government of India (GOI) |
Sponsor(s) | M/o Statistics & Programme Implementation, GOI - MOSPI - |
Collection(s) | |
Metadata | Documentation in PDF |
Created on
Nov 04, 2016
Last modified
Apr 04, 2018
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160478
Sampling
Sampling Procedure
The sampling design adopted in the survey was three stage stratified design. The first, second and third stages were the district, villages/urban blocks and households. Proper stratification of the districts in the selected states were done using the population density and proportion of tribal population to ensure capturing of the variability in the population. In the villages/urban blocks also sub-stratification was adopted to ensure representation of all types of households in the Survey.As no previous survey was conducted on this topic and methodologies to be used were not firmed up, it was decided to conduct this survey on a pilot basis. However, to ensure the use of data collected in the pilot survey also, a proper sampling procedure was followed.
Refer the attached document named 'Report' attached under external resource
Deviations from Sample Design
There was no deviation from the original sample deviation.
Response Rate
The total number of households covered in the sample was 18.591 as against 18,620 originally planned.68 % of the households was in rural areas. Therefore, the non-response at 0.1 % was negligible.
Weighting
For generating any estimate, one has to extract relevant portion of the data, and aggregate after applying the weights.Weights (or multipliers) VARIABLES are given at the end of record of each dataset. The weights (multipliers) are
WGT_SS for Sub-sample-wise estimation and WGT_Combined for combined subsample estimates.
All records of a household will have same weight figure. In case of those Blocks/Levels, where Item/Person Sl.No. is not applicable the field is filled up with 00000.
Use of subsample-wise weights (multipliers)
For generating subsample-wise estimates based on data of all subrounds taken together, either Subsample-1 households or Subsample-2 households are to be considered at one time. Subsample code is available in the dataset For generating subsample-combined estimates based on data of all subrounds taken together all households are to be considered.