In theory, the incidence of a tax should be independent of which side of the market it is levied on. This principle of liability side equivalence underlies virtually all theories of tax incidence. Policy discussions, however, tend to place great emphasis on the legal division of tax payments. We...

In this paper I analyse the effects of ignoring level shifts in the data generating process (DGP) on systems cointegration tests that do not accommodate level shifts. I consider two groups of Likelihood Ratio tests based on procedures suggested by Johansen (1988, 1995) and Saikkonen & Lütkepohl...

A systems cointegration rank test is proposed which is applicable for vector autoregressive (VAR) processes with a structural shift at unknown time. The structural shift is modeled as a simple shift in the mean of the process. It is proposed to estimate the break date first on the basis of a...

In this paper we present an experiment on the false consensus effect. Unlike previous experiments, we provide monetary incentives for revealing the actual estimation of others' behavior. In each session and round sixteen subjects make a choice between two options simultaneously. Then they...

Two different types of tests for the cointegrating rank of VAR processes with a deterministic shift in the level have been proposed in the literature. The first proposal is based on the LR principle using a specific Gaussian model set-up. In the second proposal the time series are adjusted for...

In the trust game first player 1 decides between non-cooperation or trust in reciprocity and then, in the latter case, player 2 between exploiting player 1 or rewarding him. In our experiment, player 2 can be a notorically rewarding player (this type is implemented as a robot strategy) or a...

In this note we present an experiment to compare the two competing fairness theories by Bolton / Ockenfels and Fehr / Schmidt. For most experiments that these theories have previously been applied to, they make similar predictions so that it is difficult to compare their predictive accuracy. We...