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Erschienen in: Public Choice 1-2/2018

22.02.2018

The political affiliation effect on state credit risk

verfasst von: Darío Cestau

Erschienen in: Public Choice | Ausgabe 1-2/2018

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Abstract

Past research largely has ignored the effects of political parties on states’ default risks. This paper addresses that question by analyzing the response of credit spreads to weekly polling data from 17 gubernatorial elections between 2009 and 2012, during the 6 months prior to Election Day. The findings are that political affiliation has a significant effect on states’ default risks. The estimated effect of electing a Republican governor is a 6% reduction in the credit spread of the state. The effect prevails regardless of the party in control of the state legislature, and it is larger when gubernatorial elections are contested closely. Set in the context of case law, the paper links higher tax levels to greater credit risk. Moreover, an analysis of the candidates’ campaign promises suggests that stronger positions against tax increases are associated with less default risks. The results of the paper are therefore consistent with the empirical evidence suggesting that Republicans prefer lower taxes.

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Fußnoten
1
Although the empirical literature reports few line-item veto effects (Holtz-Eakin 1988), Carter and Schap (1990) claim that the unobserved effect may be large.
 
2
Chapter 9 provides a financially-distressed municipality protection from its creditors during the process of negotiating and restructuring its debts.
 
3
It is an order from a court to a lesser government official to perform or refrain to performing an act in accordance to the law.
 
4
358 N.E.2d 848 (NY 1976).
 
5
Little River Bank & Trust Co. v. Johnson, 141 so. 141 (Fla. 1932); Supervisors v. United States, 85 (18 Wall.) US 71 (1983).
 
6
Defoe v. Town of Rutherfordton, 122 F.2d 342, 344 (4th Cir. 1941).
 
7
If the governor insisted on keeping his or her promises against taxes, the only legal option to avoid higher taxes would be that the officials to whom the writ of mandamus were directed resigned their positions. See Rees v. City of Watertown, 86 US (19 Wall.) 107, 1873.
 
8
Some examples of additional sources of bias are: Besley and Case (1995b) do not include candidate fixed-effects and legislative branch variables. Caplan’s (2001) measure of voters’ preferences is hardly uncorrelated with parties’ desired fiscal stances, which is needed for identification. Poterba’s (1994) party analysis lacks power. Alt and Lowry (1994) find party effects only in a sub-sample of states, on specific spending measures, and only for target levels and not actual levels. Moreover, Alt and Lowry do not control for timewise fixed effects.
 
9
It is standard in the literature to model first difference CDS spreads. CDS spreads and the probability of a Republican administration are non-stationary variables, since augmented Dickey–Fuller tests do not reject a unit root null hypothesis. First differences are stationary on the other hand (p = 0.99).
 
10
As reported by Green et al. (2007) and Cestau et al. (2013).
 
11
The term structure of bonds is similar across states (Cestau 2010).
 
12
Knight (2006) adopts the same assumption.
 
13
It is a probability of electing a Republican governor if the election took place that week.
 
14
I obtained the figure by multiplying total bonded debt from “Comprehensive Annual Financial Reports” by the average effect. I do not include short-term debt and unfunded pension liabilities.
 
15
Republicans had 44% safe seats in the 2010 New York Senate election and 45% safe seats in the 2010 Wisconsin Senate election. Additionally, Democrats secured only 49.5% of the seats in the Ohio’s 2010 House of Representatives election, but more than 50% if I had used a 9.75% winning-margin threshold. Thus, I classify Ohio that year as if Democrats had secured control of the lower house.
 
16
New York had a divided legislature in 2010, but the Democratic Party gained control of both chambers in 2011.
 
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Metadaten
Titel
The political affiliation effect on state credit risk
verfasst von
Darío Cestau
Publikationsdatum
22.02.2018
Verlag
Springer US
Erschienen in
Public Choice / Ausgabe 1-2/2018
Print ISSN: 0048-5829
Elektronische ISSN: 1573-7101
DOI
https://doi.org/10.1007/s11127-018-0519-3

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