India - Household Consumer Expenditure, Jan 2003 - Dec 2003, NSS 59th Round
Reference ID | DDI-IND-MOSPI-NSSO-59Rnd-Sch1.0-2003 |
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 17, 2018
Last modified
Mar 27, 2019
Page views
189816
- Blocks 1,2_Identific
ation of Sample Hous
ehold - Blocks 3,10_Househol
d Characteristics - Block 4_Person recor
ds - Block 5_Monthly hous
ehold expenditure on
food and non food i
tems - Block 5pt1_Monthly h
ousehold expenditure
on fuel and light - Block 6_Household ex
penditure on clothin
g, bedding etc - Block 7_Household ex
penditure on footwea
r - Block 8pt1_Household
expenditure on educ
ation and medical (i
nstitutional) goods
and services - Block 8pt2_ Monthly
household expenditur
e on misc goods and
services - Block 9_Household ex
penditure on durable
s
Variable Groups
Sub - sample
(SubSample)
File: Block 9_Household expenditure on durables
File: Block 9_Household expenditure on durables
Overview
Type:
Discrete Format: character Width: 1 | Valid cases: 467263 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 | 233339 | 49.9% |
2 | State sample | 233924 | 50.1% |
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.