Ministerial Weights and Government Formation: Estimation Using a Bargaining Model
Yasutora Watanabe and
Takanori Adachi
No 742, Econometric Society 2004 Far Eastern Meetings from Econometric Society
Abstract:
This paper proposes a method to estimate relative ministerial weights in parliamentary democracies. Specifically, our method combines a bargaining model of government formation with maximum likelihood estimation. The data required for estimation are who formateurs are, what each party’s voting weight is, and what ministerial seats each party obtains. We use variation of the data and the structure of the bargaining model to recover ministerial weights and other parameters. Additionally, the method can measure the effects of voting weights and formateur advantage. We apply our proposed method to the case of Japan. Our results statistically show that political players value pork-related posts (such as the Minister of Construction) more than prestigious ones (such as the Minister of Foreign Affairs). We also find that there is a significant formateur advantage, while voting weights do not have a significant scale effect
Keywords: Government Formation; Bargaining (search for similar items in EconPapers)
JEL-codes: D72 H19 (search for similar items in EconPapers)
Date: 2004-08-11
New Economics Papers: this item is included in nep-pbe
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)
Downloads: (external link)
http://repec.org/esFEAM04/up.16684.1080763254.pdf (application/pdf)
Related works:
Journal Article: Ministerial Weights and Government Formation: Estimation Using a Bargaining Model (2008)
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:ecm:feam04:742
Access Statistics for this paper
More papers in Econometric Society 2004 Far Eastern Meetings from Econometric Society Contact information at EDIRC.
Bibliographic data for series maintained by Christopher F. Baum ().