Russia Longitudinal Monitoring Survey of HSE

The Russia Longitudinal Monitoring Survey is a series of nationally representative surveys designed to monitor the effects of Russian reforms on the health and economic welfare of households and individuals in the Russian Federation. These effects are measured by a variety of means: detailed monitoring of individuals' health status and dietary intake, precise measurement of household-level expenditures and service utilization, and collection of relevant community-level data, including region-specific prices and community infrastructure data. Data have been collected annually (with two exceptions) since 1994.

Starting sample in 1994:

  • Adults:  8,893
  • Children:  2,397
  • Households:  3,975
  • Communities:  157

Longitudinal Individual Data

Sample 1994-2014:

  • Adults: 43,244
  • Children: 11,633

Interviews were conducted with as many adults as possible in sampled households. Data for the children's questionnaires were obtained from adults in the household. Each observation is a record for one person for a round that the person was in the survey. The individual identifier and the round identifier (idind id_w) uniquely identify each person-round. Variables have been standardized across the rounds. Categorical variables include value labels.

Topics

  • SES, Labor Market & Occupation
  • Education
  • Physical Health
  • Nutrition
  • Biological Function and Development
  • Physical Activity
  • Anthropometry
  • Risk Behavior
  • Demographic Characteristics
  • Reproductive Health

Longitudinal Household Data

Sample 1994-2014: 30,712 households

The starting sample in 1994 was supplemented in various years, rising to 8,440 in 2012. In 2014, however, it was reduced to 6,762 due to budget constraints. Despite this adjustment, the original panel of households remains intact. The survey includes details about the families' assets, farming activities as they related both to income and use as a food source for the household, other sources of income and expenditures, and details on educational expenses. Each observation is a record for one household for a round that the household was in the survey. The household identifier and the round identifier (id_h id_w) uniquely identify each household-round. Variables have been standardized across rounds. Categorical variables include value labels.

Topics

  • Family & Household Characteristics
  • Finances & SES
  • Demographic  Characteristics
  • Education

Individual Data

Starting sample in 1994:

  • Adults: 8,893
  • Children: 2,397

Interviews were conducted with as many adults as possible in sampled households. Data for the children's questionnaires were obtained from adults in the household. Total individual income variables were constructed from the income and expenditure data and are part of each individual's record.

Topics

  • SES, Labor Market & Occupation
  • Education
  • Physical Health
  • Nutrition
  • Biological Function and Development
  • Physical Activity
  • Anthropometry
  • Risk Behavior
  • Demographic Characteristics
  • Reproductive Health

Household Data

Starting sample in 1994: 3,975 households

The starting sample in 1994 was supplemented in various years, rising to 8,440 in 2012. In 2014, however, it was reduced to 6,762 due to budget constraints. Despite this adjustment, the original panel of households remains intact. The survey includes details about the families' assets, farming activities as they related both to income and use as a food source for the household, other sources of income and expenditures, and details on educational expenses.  Total household income and expenditure variables were derived from the income and expenditure data and are part of each household's record.

Topics

  • Family & Household Characteristics
  • Finances & SES
  • Demographic  Characteristics
  • Education

Community Data

Sample size: 157 communities

Households were sampled in 1994 from 157 communities, and the sample has varied little since. Data were collected in each community about community size and land use, infrastructure (communication, transportation, and health), restaurants, employment opportunities, public services (schools, banks, utilities, waste disposal, and immigration services), and detailed information on food availability and costs.

Topics

  • Infrastructure
  • Transportation
  • Public services
  • Food prices
  • Neighborhood & community

Questionnaires

Questionnaires in PDF format are available in both English and Russian.

Supplemental Materials

Occupational codes, Primary sampling unit codes, Regional ID documentation, and other supplementary materials.

Constructed Variable Programs

Samples of program syntax used to create the economic constructed variables.

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