16,077 research outputs found
Why Do Firms Evade Taxes? The Role of Information Sharing and Financial Sector Outreach
Informality is a wide-spread phenomenon across the globe. We show that firms in countries with better information sharing systems and greater financial sector outreach evade taxes to a lesser degree, an effect that is stronger for smaller firms, firms in smaller cities and towns, and firms in industries relying more on external financing, with higher liquidity needs and with greater growth potential. However, it is variation in firm size that dominates firm variation in location and industry variation in explaining cross-firm and cross-country variation in tax evasion. This effect is robust to controlling for an array of other measures of the financial and institutional environment firms face. The effect is also robust to controlling for fixed firm effects in a smaller panel dataset of Central and Eastern European countries many of which introduced credit registries or upgraded them in the early 2000s.Formal and informal sector;tax evasion;financial sector development
Why Do Firms Evade Taxes? The Role of Information Sharing and Financial Sector Outreach
Informality is a wide-spread phenomenon across the globe. We show that firms in countries with better information sharing systems and greater financial sector outreach evade taxes to a lesser degree, an effect that is stronger for smaller firms, firms in smaller cities and towns, and firms in industries relying more on external financing, with higher liquidity needs and with greater growth potential. However, it is variation in firm size that dominates firm variation in location and industry variation in explaining cross-firm and cross-country variation in tax evasion. This effect is robust to controlling for an array of other measures of the financial and institutional environment firms face. The effect is also robust to controlling for fixed firm effects in a smaller panel dataset of Central and Eastern European countries many of which introduced credit registries or upgraded them in the early 2000s.
Why Do Firms Evade Taxes? The Role of Information Sharing and Financial Sector Outreach
Informality is a wide-spread phenomenon across the globe. We show that firms in countries with better information sharing systems and greater financial sector outreach evade taxes to a lesser degree, an effect that is stronger for smaller firms, firms in smaller cities and towns, and firms in industries relying more on external financing, with higher liquidity needs and with greater growth potential. However, it is variation in firm size that dominates firm variation in location and industry variation in explaining cross-firm and cross-country variation in tax evasion. This effect is robust to controlling for an array of other measures of the financial and institutional environment firms face. The effect is also robust to controlling for fixed firm effects in a smaller panel dataset of Central and Eastern European countries many of which introduced credit registries or upgraded them in the early 2000s.
Relationship between performance competence and cardiorespiratory fitness in contemporary dance
This is an accepted manuscript of an article published by Science & Medicine, Inc. in Medical Problems of Performing Artists on 01/06/2019, available online: https://doi.org/10.21091/mppa.2019.2014
The accepted version of the publication may differ from the final published version.© 2019 Science & Medicine. Aims: While a foundation of basic cardiorespiratory fitness is beneficial for coping with the physiological demands of dance training and performance, the extent to which cardiorespiratory fitness levels are related to performance ability is not all-together clear. This study aimed to directly compare aerobic capacity (VO2peak) and anaerobic threshold (AT) to an aesthetic competence measure (ACM) in student contemporary dancers. Methods: Participants were 18 contemporary dance students and all undertook a one-off treadmill test to volitional exhaustion in the week leading up to a performance to determine VO2peak and AT. In the same week, a final rehearsal for the performance was filmed to allow retrospective analysis of specific performance competence. Results: Mean VO2peak values of 47.67 ± 5.84 ml/kg/min and AT values of 43.18 ± 7.72 ml/kg/min (90.68 ± 11.87 %VO2peak) were recorded, and the mean total ACM score was 52.67 ± 8.74. No significant correlations were found between cardiorespiratory fitness variables and ACM scores. Regression analyses revealed experience level to be the only significant predictor of total ACM score (p<0.05, R2=0.12, SEE=11.91). Conclusions: The range of choreography used for assessment may limit the present study; nevertheless, as level of experience did significantly predict ACM total score, it is suggested that vocational dance training may be developing the performance and technical skills of students but not sufficiently developing their physical conditioning.Published versio
Moments of Wigner function and Renyi entropies at freeze-out
Relation between Renyi entropies and moments of the Wigner function,
representing the quantum mechanical description of the M-particle
semi-inclusive distribution at freeze-out, is investigated. It is shown that in
the limit of infinite volume of the system, the classical and quantum
descriptions are equivalent. Finite volume corrections are derived and shown to
be small for systems encountered in relativistic heavy ion collisions.Comment: 15 pages, one figur
Quantum Effects in Neural Networks
We develop the statistical mechanics of the Hopfield model in a transverse
field to investigate how quantum fluctuations affect the macroscopic behavior
of neural networks. When the number of embedded patterns is finite, the Trotter
decomposition reduces the problem to that of a random Ising model. It turns out
that the effects of quantum fluctuations on macroscopic variables play the same
roles as those of thermal fluctuations. For an extensive number of embedded
patterns, we apply the replica method to the Trotter-decomposed system. The
result is summarized as a ground-state phase diagram drawn in terms of the
number of patterns per site, , and the strength of the transverse
field, . The phase diagram coincides very accurately with that of the
conventional classical Hopfield model if we replace the temperature T in the
latter model by . Quantum fluctuations are thus concluded to be quite
similar to thermal fluctuations in determination of the macroscopic behavior of
the present model.Comment: 34 pages, LaTeX, 9 PS figures, uses jpsj.st
LittleDarwin: a Feature-Rich and Extensible Mutation Testing Framework for Large and Complex Java Systems
Mutation testing is a well-studied method for increasing the quality of a
test suite. We designed LittleDarwin as a mutation testing framework able to
cope with large and complex Java software systems, while still being easily
extensible with new experimental components. LittleDarwin addresses two
existing problems in the domain of mutation testing: having a tool able to work
within an industrial setting, and yet, be open to extension for cutting edge
techniques provided by academia. LittleDarwin already offers higher-order
mutation, null type mutants, mutant sampling, manual mutation, and mutant
subsumption analysis. There is no tool today available with all these features
that is able to work with typical industrial software systems.Comment: Pre-proceedings of the 7th IPM International Conference on
Fundamentals of Software Engineerin
The effects of life stress and neural learning signals on fluid intelligence.
Fluid intelligence (fluid IQ), defined as the capacity for rapid problem solving and behavioral adaptation, is known to be modulated by learning and experience. Both stressful life events (SLES) and neural correlates of learning [specifically, a key mediator of adaptive learning in the brain, namely the ventral striatal representation of prediction errors (PE)] have been shown to be associated with individual differences in fluid IQ. Here, we examine the interaction between adaptive learning signals (using a well-characterized probabilistic reversal learning task in combination with fMRI) and SLES on fluid IQ measures. We find that the correlation between ventral striatal BOLD PE and fluid IQ, which we have previously reported, is quantitatively modulated by the amount of reported SLES. Thus, after experiencing adversity, basic neuronal learning signatures appear to align more closely with a general measure of flexible learning (fluid IQ), a finding complementing studies on the effects of acute stress on learning. The results suggest that an understanding of the neurobiological correlates of trait variables like fluid IQ needs to take socioemotional influences such as chronic stress into account
Mutation Testing as a Safety Net for Test Code Refactoring
Refactoring is an activity that improves the internal structure of the code
without altering its external behavior. When performed on the production code,
the tests can be used to verify that the external behavior of the production
code is preserved. However, when the refactoring is performed on test code,
there is no safety net that assures that the external behavior of the test code
is preserved. In this paper, we propose to adopt mutation testing as a means to
verify if the behavior of the test code is preserved after refactoring.
Moreover, we also show how this approach can be used to identify the part of
the test code which is improperly refactored
Logical Relations for Monadic Types
Logical relations and their generalizations are a fundamental tool in proving
properties of lambda-calculi, e.g., yielding sound principles for observational
equivalence. We propose a natural notion of logical relations able to deal with
the monadic types of Moggi's computational lambda-calculus. The treatment is
categorical, and is based on notions of subsconing, mono factorization systems,
and monad morphisms. Our approach has a number of interesting applications,
including cases for lambda-calculi with non-determinism (where being in logical
relation means being bisimilar), dynamic name creation, and probabilistic
systems.Comment: 83 page
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