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Aggregate Data, Regions of Russia (RoR), 1990-2010

Version
v0
Resource Type
Dataset : administrative records data, aggregate data, census/enumeration data, observational data, survey data
Creator
  • Mirkina, Irina (Lund University)
Other Title
  • Archival Version (Subtitle)
Publication Date
2014-10-14
Language
English
Free Keywords
agriculture; banks; birth rates; budgets; climate; computers; credit; crime; crime rates; crops; debt; durable goods; early childhood education; economic indicators; education; education costs; employment; energy production; financial industry; foreign direct investment; health; higher education; industry; infant mortality; insurance; Internet; investments; juvenile crime; labor (work); life expectancy; livestock; manufacturing industry; mining industry; national economy; population; population characteristics; prices; schools; service industry; social indicators; social services; taxes; television viewing; trade; transition economies; transportation; unemployment rate; wealth
Description
  • Abstract

    The "Aggregate Data, Regions of Russia (RoR), 1990-2010" study is a collection of aggregate statistical data for the Russian regions, made available in English. It includes a large range of variables that characterize a wide scope of economic and social factors for the period from 1990 to 2010. This collection comprises data from 82 regions of Russia on topics including trade, production, demography, labor, investment, climate, crime, education, health care, culture, banks, insurance, services, communication, and many industries.
  • Methods

    The data are not weighted; there are no weighting variables provided in the data set.
  • Methods

    ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major statistical software formats as well as standard codebooks to accompany the data. In addition to these procedures, ICPSR performed the following processing steps for this data collection: Checked for undocumented or out-of-range codes..
  • Table of Contents

    Datasets:

    • DS0: Study-Level Files
    • DS1: Agriculture/Ecology
    • DS2: Banks/Insurance
    • DS3: Budget
    • DS4: Crime
    • DS5: Descriptive
    • DS6: Education/Culture
    • DS7: Health
    • DS8: Industries
    • DS9: Investment
    • DS10: Population
    • DS11: Prices
    • DS12: Services/Communication
    • DS13: Trade
Temporal Coverage
  • 1990 / 2010
    Time period: 1990--2010
  • 2012-05-01 / 2012-11-01
    Collection date: 2012-05-01--2012-11-01
Geographic Coverage
  • Global
  • Russia
Sampled Universe
82 regions -- sub-national administrative units of the Russian Federation (21 republics, 46 oblasts, 9 krais, 3 autonomous okrugs, 1 autonomous oblast, 2 region-cities) Smallest Geographic Unit: Region
Collection Mode
  • mixed mode

    The variables ID ("Region code"), REGION ("Region working name"), NAME ("Region full name"), and YEAR are present in all datasets.

Availability
Delivery
This version of the study is no longer available on the web. If you need to acquire this version of the data, you have to contact ICPSR User Support (help@icpsr.umich.edu).
Alternative Identifiers
  • 35355 (Type: ICPSR Study Number)
Relations
  • Is previous version of
    DOI: 10.3886/ICPSR35355.v1
Publications
  • Crescenzi, Riccardo, Jaax, Alexander. Innovation in Russia: The Territorial Dimension. Papers in Evolutionary Economic Geography (PEEG), No. 1509.Utrecht, Netherlands: Utrecht University, Section of Economic Geography. 2015.
    • ID: http://econ.geo.uu.nl/peeg/peeg1509.pdf (URL)
  • Baccini, Leonardo, Li, Quan, Mirkina, Irina. Corporate tax cuts and foreign direct investment. Journal of Policy Analysis and Management.33, (4), 977-1006.2014.
    • ID: 10.1002/pam.21786 (DOI)

Update Metadata: 2015-08-05 | Issue Number: 6 | Registration Date: 2015-06-16

Mirkina, Irina (2014): Aggregate Data, Regions of Russia (RoR), 1990-2010. Archival Version. Version: v0. ICPSR - Interuniversity Consortium for Political and Social Research. Dataset. https://doi.org/10.3886/ICPSR35355