Tax arbitrage is often cited as a potential motive for the substantial growth and complexity of market based finance. Tax treaties are an important feature of the international tax system and can be used to reduce the tax burden on cross-border capital flows. Using an EU firm-level dataset and a...

Within the context of the firm location choice problem, Guimara?es et al. (2003) have shown that a Poisson count regression and a conditional logit model yield identical coefficient estimates. Yet, the corresponding interpretation differs since these discrete choice models reflect polar cases as...

Within the context of the firm location choice problem, Guimara?es et al. (2003) have shown that a Poisson count regression and a conditional logit model yield identical coefficient estimates. Yet, the corresponding interpretation differs since these discrete choice models reflect polar cases as...

Tax arbitrage is often cited as a potential motive for the substantial growth and complexity of market based finance. Tax treaties are an important feature of the international tax system and can be used to reduce the tax burden on cross-border capital flows. Using an EU firm-level dataset and a...

When estimating location choices, Poisson regressions and conditional logit models yield identical coefficient estimates (Guimarães et al., 2003). These econometric models involve polar assumptions as regards the similarity of the different locations. Schmidheiny and Brülhart (2011)...

This paper assesses the influence of the location of adult children on the 1985-90 interstate migration of black and white elderly "non-natives" (i.e. those whose state of residence in 1985 was different from their state of birth) in the United States, based on the application of a three- level...

Markov models introduce persistence in the mixture distribution. In time series analysis, the mixture components relate to different persistent states characterizing the state-specific time series process. Model specification is discussed in a general form. Emphasis is put on the functional form...

Markov models introduce persistence in the mixture distribution. In time series analysis, the mixture components relate to different persistent states characterizing the state-specific time series process. Model specification is discussed in a general form. Emphasis is put on the functional form...