Economic Voting in the 2006 Czech General Election
Ivana Tomankova ()
Additional contact information
Ivana Tomankova: University of Economics
A chapter in The Impact of Globalization on International Finance and Accounting, 2018, pp 245-255 from Springer
Abstract:
Abstract This paper investigates the occurrence and patterns of economic voting in the 2006 election for the Chamber of Deputies of the Parliament of the Czech Republic. I construct multinomial logit models which specify the log odds of electoral support for a given political party as function of the regional economic conditions faced by the voter, controlling for political and socioeconomic factors, and estimate these with opinion-survey data. The results provide evidence of unemployment-based economic voting: other things equal, a 1 percentage point rise in the unemployment rate in the voter’s region increases their probability of voting for the leading incumbent socialist party on average by 0.8 percentage points and decreases their probability of voting for the Green party by 0.5 percentage points. Interestingly, these effects are driven by affluent voters. I conclude that the observed pattern of economic voting is most accurately described by the luxury goods voting model and, to some extent, the clientele hypothesis.
Keywords: Economic voting; VP-function; Elections (search for similar items in EconPapers)
Date: 2018
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:prbchp:978-3-319-68762-9_26
Ordering information: This item can be ordered from
http://www.springer.com/9783319687629
DOI: 10.1007/978-3-319-68762-9_26
Access Statistics for this chapter
More chapters in Springer Proceedings in Business and Economics from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().