India - Household Consumer Expenditure, July 2005 - June 2006, NSS 62nd Round
Reference ID | DDI-IND-MOSPI-NSSO-62Rnd-Sch1.0-2005-06 |
Year | 2005 - 2006 |
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 18, 2018
Last modified
Mar 27, 2019
Page views
187401
- Blocks 1,2_Identific
ation of Sample Hous
ehold - Block 3_Household Ch
aracteristics - 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
fuel and light - Block 7_Household ex
penditure on clothin
g, bedding etc - Block 8_Household ex
penditure on footwea
r - Block 9_Household ex
penditure on educati
on and medical (inst
itutional) goods and
services - Block 10_ Monthly ho
usehold expenditure
on misc goods and se
rvices - Block 11_Household e
xpenditure on durabl
es
Variable Groups
Sub - sample
(SubSample)
File: Block 8_Household expenditure on footwear
File: Block 8_Household expenditure on footwear
Overview
Type:
Discrete Format: character Width: 1 | Valid cases: 123087 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 | 64558 | 52.4% |
2 | State sample | 58529 | 47.6% |
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.
Record 1 or 2 depending on whether the selected sample village/block is central sample or state sample