Summary information

Study title

MESARAS 2013: Mobility, Expectations, Self-Assessment and Risk Attitude of Students - full version

Creator

Weisser, Reinhard A. (Leibniz Universität Hannover)

Study number / PID

ZA6294, Version 1.0.0 (GESIS)

10.4232/1.12544 (DOI)

Data access

Information not available

Series

Not available

Abstract

The MESARAS-project was designed to investigate the interconnectedness of geographic mobility of highly qualified individuals and their personality and preferences. Therefore, and to ensure a substantial sample size (N=2589), beginning students in an economics programme (a programme offered at almost any university), who recently made an important mobility-related decision, have been selected as target group. All mobility episodes have been recorded on the level of postal code areas. This allows a geo-referenced analysis of individual mobility with two explicit benefits: First, mobility can be measured rather precisely as covered distance. Second, the data can be linked to other geo-referenced regional indicators (e.g. the INKAR data on the district level), which enables for instance to evaluate the impact of location-specific economic conditions on individual decisions. An additional, rather unique feature is that MESARAS-data not only provides information on past and current mobility episodes (or future plans), but also which alternatives have explicitly been considered recently. Hence, it is not only possible to see which alternative has been finally chosen, but also which alternatives have been deliberately dismissed. Due to the inclusion of a rich variety of items, the MESARAS-data supports an in-depth analysis of potential influences on individual migratory decision: Apart from socio-economic data, the survey comprises also various items to inquire risk attitude, (time) preferences, individual (labour market related) expectations and personality (including Big-5).

Methodology

Data collection period

02/10/2013 - 23/10/2013

Country

Germany

Time dimension

Cross-section

Analysis unit

Not available

Universe

Not available

Sampling procedure

Non-probability: Availability
Non-probability Sample: Availability Sample After seven participating universities (respectively the economics department) in Northern and Middle Germany (Bielefeld, Clausthal, Dortmund, Halle, Hannover, Magdeburg und Münster) have been selected, respondents have been directly recruited within general sessions with high attendance rates.

Kind of data

Not available

Data collection mode

Self-administered questionnaire: Paper
Self-administered questionnaire: Paper

Access

Publisher

GESIS Data Archive for the Social Sciences

Publication year

2016

Terms of data access

C - Data and documents are only released for academic research and teaching after the data depositor's written authorization. For this purpose the Data Archive obtains a written permission with specification of the user and the analysis intention.

Related publications

Not available