Summary information

Study title

Rural-Urban migration and remittances in the Akmola province (Northern Kazakhstan)

Creator

Dufhues, Thomas ( Leibniz Institute of Agricultural Development in Transition Economies (IAMO))

Study number / PID

10.7802/2268 (GESIS)

10.7802/2268 (DOI)

Data access

Information not available

Series

Not available

Abstract

This database contains primary data from a standardized household survey (n=400) conducted in Northern Kazakhstan (Akmola province) in 2017. It includes information on household demographics, migration history and intentions, remittances received and support given, migration attitudes, and constraints, household income, personality traits, and subjective well-being. The respondents answered questions on their personal situation, on other household members, and on the general household situation. The use of computer assisted personal interviews (CAPI) ensured high quality data.

The database is a product of a German Research Foundation (DFG) financed research project "Internal migration in Kazakhstan – New Institutionalism and Bayesian Networks: Establishing an analytical framework to model migration decision making in rural Kazakhstan" (BU1319/16-1, HE 5272/8-1).

The data set has not yet been fully analysed in many respects, e.g. on subjective well-being of the respondent and his/her migration/staying intentions.

Data are stored in long-form.
Further inquiries can be sent directly to:
Tom Dufhues, dufhues@yahoo.de

For inquiries regarding data organization and on extracting data on particular aspects/variables please contact the data curator Stephan Brosig (brosig@iamo.de)

Topics

Not available

Methodology

Data collection period

01/06/2017 - 01/08/2017

Country

Kasachstan

Time dimension

Cross-section

Analysis unit

Not available

Universe

Sampling procedure

Kombination aus Wahrscheinlichkeit- und Nicht- Wahrscheinlichkeitsauswahl

Kind of data

Not available

Data collection mode

Face-to-face interview

Access

Publisher

GESIS Data Archive for the Social Sciences

Publication year

2021

Terms of data access

Free access (with registration) - The research data can be downloaded by registered users. CC BY 4.0: Namensnennung (https://creativecommons.org/licenses/by/4.0/deed.de)

Related publications

Not available