17,644 research outputs found
Management control in the transfer pricing tax compliant multinational enterprise
This paper studies the impact of transfer pricing tax compliance on management control system (MCS) design and use within one multinational enterprise (MNE) which employed the same transfer prices for tax compliance and internal management purposes. Our analysis shows immediate effects of tax compliance on the design of organising controls with subsequent effects on planning, evaluating and rewarding controls which reveal a more coercive use of the MCS overall. We argue that modifications to the MCS cannot be understood without an appreciation of the MNEs’ fiscal transfer pricing compliance process
Estimation in the group action channel
We analyze the problem of estimating a signal from multiple measurements on a
\mbox{group action channel} that linearly transforms a signal by a random
group action followed by a fixed projection and additive Gaussian noise. This
channel is motivated by applications such as multi-reference alignment and
cryo-electron microscopy. We focus on the large noise regime prevalent in these
applications. We give a lower bound on the mean square error (MSE) of any
asymptotically unbiased estimator of the signal's orbit in terms of the
signal's moment tensors, which implies that the MSE is bounded away from 0 when
is bounded from above, where is the number of observations,
is the noise standard deviation, and is the so-called
\mbox{moment order cutoff}. In contrast, the maximum likelihood estimator is
shown to be consistent if diverges.Comment: 5 pages, conferenc
Stochastic flows in the Brownian web and net
Certain one-dimensional nearest-neighbor random walks in i.i.d. random
space-time environments are known to have diffusive scaling limits. In the
continuum limit, the random environment is represented by a `stochastic flow of
kernels', which is a collection of random kernels that can be loosely
interpreted as the transition probabilities of a Markov process in a random
environment. The theory of stochastic flows of kernels was introduced by Le Jan
and Raimond, who showed that each such flow is characterized by its n-point
motions. We focus on a class of stochastic flows of kernels with Brownian
n-point motions which, after their inventors, will be called Howitt-Warren
flows. We give a graphical construction of general Howitt-Warren flows, where
the underlying random environment takes on the form of a suitably marked
Brownian web. Alternatively, we show that a special subclass of the
Howitt-Warren flows can be constructed as random flows of mass in a Brownian
net. Using these constructions, we prove some new results for the Howitt-Warren
flows. In particular, we show that the kernels spread with a finite speed and
have a locally finite support at deterministic times if and only if the flow is
embeddable in a Brownian net. We show that the kernels are always purely atomic
at deterministic times, but with the exception of a special subclass known as
the erosion flows, exhibit random times when the kernels are purely non-atomic.
We moreover prove ergodic statements for a class of measure-valued processes
induced by the Howitt-Warren flows. Along the way, we also prove some new
results for the Brownian web and net.Comment: Revised version. To appear in Memoirs of the American Mathematical
Societ
- …