India - Household Consumer Expenditure, Jan - Dec 1992, NSS 48th Round
Reference ID | DDI-IND-MOSPI-NSSO-48Rnd-Sch1.0-1992 |
Year | 0 |
Country | India |
Producer(s) | National Sample Survey Office - M/o Statistics and Programme Implementation(MOSPI),Government of India (GOI) |
Sponsor(s) | M/o Statistics & Programme Implementation, GOI - MOSPI - |
Collection(s) |
Created on
Jan 16, 2018
Last modified
Mar 27, 2019
Page views
113194
- Blocks 1,3,10_Househ
old Characteristics - Block 4_Person recor
ds - Block 5_Monthly hous
ehold expenditure on
food and non-food i
tems - Block 6_Monthly hous
ehold expenditure on
clothing - Block 7_Monthly hous
ehold expenditure on
footwear - Block 8_Monthly hous
ehold expenditure on
miscellaneous goods
and services - Block 9_Monthly hous
ehold expenditure on
durables
Variable Groups
Sub Sample
(SubSample)
File: Block 5_Monthly household expenditure on food and non-food items
File: Block 5_Monthly household expenditure on food and non-food items
Overview
Type:
Discrete Format: character Width: 1 | Valid cases: 689471 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 interpenetrating sub-samples. Each sub- sample is drawn by the same
sampling scheme and is capable of providing valid estimates of the population parameters. The comparison of sub-sample wise estimates shows the margin of uncertainty associated with the combined sample estimate.
Interpenetrating sub-samples have been used in NSS (i) to obtain valid estimates from each sub-round (season) of the survey round, and (ii) to ensure that Central and State samples for any State/ UT cover independent and equally valid samples of units.
The samples surveyed by the NSSO staff are termed as Central sample and the matched samples surveyed by State Government staff are termed as State sample.
sampling scheme and is capable of providing valid estimates of the population parameters. The comparison of sub-sample wise estimates shows the margin of uncertainty associated with the combined sample estimate.
Interpenetrating sub-samples have been used in NSS (i) to obtain valid estimates from each sub-round (season) of the survey round, and (ii) to ensure that Central and State samples for any State/ UT cover independent and equally valid samples of units.
The samples surveyed by the NSSO staff are termed as Central sample and the matched samples surveyed by State Government staff are termed as State sample.
Questions and instructions
Sub Sample
Value | Category | Cases | |
---|---|---|---|
1 | Central sample | 347323 | 50.4% |
2 | State sample | 342148 | 49.6% |
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.