Summary information

Study title

Expert survey on prime-ministerial performance in Central-Eastern Europe

Creator

Grotz, Florian ( Helmut-Schmidt-Universität / Fakultät für Wirtschafts- und Sozialwissenschaften)
Müller-Rommel, Ferdinand ( Leuphana Universität Lüneburg, Zentrum für Demokratieforschung)
Berz, Jan ( Universität Lüneburg, Zentrum für Demokratieforschung und Trinity College Dublin, Department of Politcial Science)
Kukec, Marko ( Helmut-Schmidt-Universität / Fakultät für Wirtschafts- und Sozialwissenschaften)
Kroeber, Corinna ( Universität Greifswald, Institut für Politik- und Kommunikationswissenschaften)

Study number / PID

10.7802/1998 (GESIS)

10.7802/1998 (DOI)

Data access

Information not available

Series

Not available

Abstract

This expert survey applies and measures a novel concept of prime-ministerial performance that refers to the tasks a prime minister is theoretically expected to fulfil for making parliamentary democracy work. Prime-ministerial tasks are derived from a theoretical framework, which conceives parliamentary democracy as a two-directional chain of principal- agent relationships in which prime ministers are agents as well principals. For each country under study, we asked about twenty country experts to answer these questions for all cabinets in an online survey. The survey was fielded in eleven Central-Eastern European countries between November 2018 and April 2019, with a total of 215 experts. Most experts worked in academia or as journalists and came from various academic disciplines (Political Science, History, Economics, and Sociology).

Topics

Not available

Methodology

Data collection period

01/10/2018 - 01/04/2019

Country

Bulgaria, Estonia, Croatia, Latvia, Lithuania, Czech Republic, Hungary, Poland, Romania, Slovakia, Slovenia

Time dimension

cross-section

Analysis unit

Not available

Universe

Nationale Expertinnen und Experten mit der Fähigkeit die Leistung von Premierministern zwischen 1990 und 2018 zu bewerten.

Sampling procedure

Non-probability Sample - Purposive Sample

Kind of data

Not available

Data collection mode

Selbstausfüller:CAWI(Computerunterstützte Web-Interview)

Access

Publisher

GESIS Data Archive for the Social Sciences

Publication year

2020

Terms of data access

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

Related publications

Not available