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    Home / Central Data Catalog / RUS_2007_SAGE_V01_M / variable [F53]
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Study on Global Ageing and Adult Health 2007-2010

Russian Federation, 2007 - 2010
Reference ID
RUS_2007_SAGE_v01_M
Producer(s)
Professor Tamara Maximova
Metadata
DDI/XML JSON
Created on
Apr 25, 2019
Last modified
Apr 25, 2019
Page views
1955
  • Study Description
  • Data Description
  • Get Microdata
  • Data Files
  • HLSEC2
  • HSEC1
  • HSEC2
  • HSEC3
  • HSEC4
  • HSEC5
  • HSEC6
  • HSEC7
  • HSEC8
  • HSEC9
  • HSEC10A_CLN
  • HSEC10AA
  • HSEC10B_CLN
  • HSEC10C_CLN
  • HSEC10D
  • HSEC11
  • HSEC12
  • HSEC13
  • HSEC14
  • KLSEC2
  • Kwelfare1
  • ASEC2A
  • ASEC4
  • ASEC5
  • ASEC6A
  • ASEC6B
  • ASEC6C
  • ASEC6D
  • ASEC6E
  • FSEC2A
  • FSEC4
  • FSEC5
  • FSEC6A
  • FSEC6B
  • FSEC6C
  • MSEC2A
  • MSEC4
  • MSEC5
  • MSEC6A
  • MSEC6B
  • MSEC6C
  • RSEC2A
  • RSEC4
  • RSEC5
  • RSEC6A
  • RSEC6B
  • TSEC2A
  • TSEC4
  • TSEC5
  • TSEC6A
  • TSEC6B
  • MKSEC1
  • MKSEC2
  • MKSEC3
  • MKSEC4
  • CSEC1
  • CSEC2
  • CSEC3
  • CSEC5
  • CSEC6
  • CSEC7
CSV JSON

If low or high,ain reason for price changes(use codes on la (m2q12)

Data file: MKSEC2

Overview

Valid: 1904
Invalid: 336
Type: Discrete
Decimal: 0
Range: -
Format:

Questions and instructions

Categories
Value Category
1 High transport
2 High taxes
3 High whole sale prices
4 Increased demand for the local consumers
5 Increased demand from the neighbouring districts
6 Increased demand from neighbouring countries
7 High rental/storage fees
8 Reduced availability from the whole sale market
9 Reduced availability in sale of food/non-food items
10 Monopoly in sale of food/non-food items
11 Low transport costs
12 Low taxes
13 Low whole sale price
14 Reduced demand from the local consumers
15 Reduced demand from the neighbouring districts
16 Reduced demand from the neighbouring countries
17 Low rental/storage costs
18 Increased availability in the community
19 Increased availability from the whole sale market
20 Presecence of many competitors
Sysmiss
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.
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