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Multiple Regression and the Russia Longitudinal Monitoring Survey (2012): Home Value, Home Size, and Household Income in Russia

Dataset
By: The Odum Institute Published: 2015 | Product: SAGE Research Methods Datasets
Data Type: Survey
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Abstract

This dataset example introduces readers to multiple regression. This technique allows researchers to evaluate whether a continuous dependent variable is a linear function of two or more independent variables. The multiple regression model is most commonly estimated via ordinary least squares (OLS), and is sometimes called OLS regression. This example uses a subset of data from the 2012 Household survey from the Russia Longitudinal Monitoring Survey project. It presents an analysis of whether the size of a family’s home and that family’s income predicts the value of their home. Understanding the factors that predict housing values and how additional income translates into housing values is important for making policy decisions about housing.

In this example, readers are introduced to the basic theory and assumptions underlying this ...

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About This Dataset
Data Source Citation

“Russia Longitudinal Monitoring survey, RLMS-HSE”, conducted by the National Research University Higher School of Economics and ZAO “Demoscope” together with Carolina Population Center, University of North Carolina at Chapel Hill and the Institute of Sociology RAS. (RLMS-HSE sites: http://www.cpc.unc.edu/projects/rlms-hse, http://www.hse.ru/org/hse/rlms)

Full title of originating dataset

Russia Longitudinal Monitoring Survey – Higher School of Economics (RLMS-HSE), Household Survey 2012

Data author(s) and affiliations

Carolina Population Center, University of North Carolina at Chapel Hill

ZAO Demoscope

Higher School of Economics, National Research University

The Institute of Sociology, Russian Academy of Sciences

Dataset source website address

http://www.cpc.unc.edu/projects/rlms-hse

Data Universe

Households in Russia

Funding sources/suppliers

Higher School of Economics, National Research University

National Institutes of Health

Sample/sampling procedures

A multi-stage probability sample was employed.

Data collection dates

2012

Time frame of analysis

2012

Unit of analysis

Household

Location covered by data

Russia

Links to SRM content
List of variables

hunfmemo

OLD FAMILY–NUMBER IN

HOUSEHOLD–B.1

humvalue

HOUSING–MARKET VALUE–C.1.1

huhfsp

HOUSING–FLOOR SPACE (SQ M)–C.6

huhlsp

HOUSING–LIVING SPACE (SQ M)–C.5

huhcheat

HOUSING–CENTRAL HEATING?–C.7.1

huabrdwi

BREAD, WHITE–AMT BOUGHT (KG)–7D–E.1.1

hucbrdwi

BREAD, WHITE–COST–7D–E.1.1

huvpay

PAY–VALUE–30D–F.11

huohspic

HIGH–SPEED INTERNET CONNECTION–QC9.624A

huincome

MONETARY INCOME 30 DAYS–QF14

Abbreviations, conventions or notation devices

Two variables, huhcheat and huohspic, have been recoded from the original data source from 1 = Yes and 2 = No to 1 = Yes and 0 = No

Methods Map
Regression analysis