India - Employment and Unemployment Survey: NSS 43rd Round, Schedule 10, July 1987 - June 1988
Reference ID | DDI-IND-MOSPI-NSSO-43Rnd-Sch10-1987-88 |
Year | 1987 - 1988 |
Country | India |
Producer(s) | National Sample Survey Office |
Sponsor(s) | M/o Statistics & Programme Implementation, GOI - MOSPI - |
Collection(s) | |
Metadata | Documentation in PDF |
Created on
Aug 26, 2015
Last modified
Aug 27, 2015
Page views
333174
- Block-1-3-Household-
Records - Block-4-Persons-Demo
graphic-current-week
ly-activity- Records - Block-5-Persons-Dail
y- activity- time-di
sposion-Records - Block-6--Persons-Usu
al-activity- migrati
on-Records - Block-7-Persons- usu
al-activity-statusco
de-11to94-Records - Block-8-Domestic-dut
ies-Persons Records - Block-9-Household-Lo
an-Records
Variable Groups
Sub-sample
(Subsample)
File: Block-1-3-Household-Records
File: Block-1-3-Household-Records
Overview
Type:
Discrete Format: character Width: 1 | Valid cases: 129194 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.
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 | 64633 | 50.0% |
2 | Sub-sample 2 | 64561 | 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.