The size and scope of government in the US states: does party ideology matter?

We investigate empirically how party ideology influences size and scope of government as measured by the size of government, tax structure and labor market regulation. Our dataset comprises 49 US states over the 1993–2009 period. We employ the new data on the ideological mapping of US legislatures by Shor and McCarty (Am. Polit. Sci. Rev. 105(3):530–551, 2011) that considers spatial and temporal differences in Democratic and Republican Party ideology. We distinguish between three types of divided government: overall divided government, proposal division and approval division. The main result suggests that Republican governors have been more active in deregulating labor markets. We find that ideology-induced policies were counteracted under overall divided government and proposal division.     

Temporary grant programmes in Sweden and central government behaviour

The purpose of this paper is to study whether the central government in Sweden approves applications for temporary grants from municipalities according to political objectives. We also study factors that determine the municipal decision to apply for temporary grants. Two hypotheses are tested, that the central government supports municipalities with many swing voters in order to influence voters, and that the central government provides benefits to groups that share its ideology and that provide political support. Data is used from three election years 1982, 1985, and 1988. Under the Socialist governments municipalities with a high share of Socialist voters were more likely to apply for grants. The same pattern does not apply to the 1982 Conservative government. There is evidence that Socialist governments approved temporary grants on the basis of party tactical criteria. However, there is no indication of vote purchasing behaviour by the 1982 Conservative government.     

Autoregressive conditional tail behavior and results on Government bond yield spreads

Previous evidence in empirical finance indicates the potential usefulness of modeling time variation particularly in the tails of speculative return distributions. Based on results from extreme value theory, the present paper proposes a fixed changepoint Pareto-type autoregressive conditional tail (ARCT) model. Regression-based parameter estimation of the unobservable time-varying tail index is carried out via classical Kalman filtering. A model application highlights the tail index dynamics for daily changes in Government bond yield spreads between the U.S. Dollar and the Euro zone.     

Tests for cointegration rank and the initial condition

Many economic events involve initial observations that substantially deviate from long-run steady state. Such initial conditions are known to affect the power of univariate unit root tests diversely, whereas their impact on multivariate tests is largely unknown. This paper investigates the impact of the initial condition on the power of tests for cointegration rank, such as Johansen??s widely used likelihood ratio test, tests with prior adjustment for deterministic terms, and a test based on the eigenvalues of the companion matrix. We find that the power of the likelihood ratio test is increasing in the magnitude of the initial condition, whereas the power of the other tests is generally decreasing. We exploit these findings in an application to price convergence.