India - Employment and Unemployment Survey, July 1993 - June 1994, NSS 50th Round
Reference ID | DDI-IND-MOSPI-NSSO-50Rnd-Sch10-1993-94 |
Year | 1993 - 1994 |
Country | India |
Producer(s) | National Sample Survey Office - M/o Statistcs and Programme Implementation(MOSPI),Government of India (GOI) |
Sponsor(s) | M/o Statistics & Programme Implementation, GOI - MOSPI - |
Collection(s) |
Created on
Jan 17, 2018
Last modified
Mar 27, 2019
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198628
Sub-sample
(SubSample)
File: Block-1-3-Household-Records
File: Block-1-3-Household-Records
Overview
Type:
Discrete Format: character Width: 1 | Valid cases: 115409 Invalid: 0 |
An important feature of the NSS sampling design is that the total sample of first stage units is drawn in the form of two or more independent and parallel samples, termed as interpenet rating sub-samples. Each sub- sample is drawn by the same
sampling scheme and is capable of provid ing valid estimat es of the population parameters. The comparison of sub-sample wise es timates shows the margin of uncertainty associated with the combined sample estimate.
Interpenetrating sub-s amples have been us ed in NSS (i) to obtain valid estimates from each sub-round (season) of the survey r ound, an d (ii) to ensure that Central and State samples for any State/ UT cover independent and equally valid samples of units.
sampling scheme and is capable of provid ing valid estimat es of the population parameters. The comparison of sub-sample wise es timates shows the margin of uncertainty associated with the combined sample estimate.
Interpenetrating sub-s amples have been us ed in NSS (i) to obtain valid estimates from each sub-round (season) of the survey r ound, an d (ii) to ensure that Central and State samples for any State/ UT cover independent and equally valid samples of units.
Questions and instructions
Sub-sample
Value | Category | Cases | |
---|---|---|---|
1 | Sub-sample1 | 57647 | 50.0% |
2 | Sub-sample 2 | 57762 | 50.0% |
Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.