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2457 · Mar 202619922001200920182026
48 results for tax deferral

I explain the root of persistent failure of efforts to remove tax-induced distortions of economic incentives. It lies in FUNDAMENTAL IMPOSSIBILITY of objectively evaluating tax base. Distortions can be entirely avoided in the sector of publicly traded corporations. Evaluation can be bypassed by taxing it in shares (to …

2000-12-18abs ↗pdf ↗

Framework for deferring decisions to experts in sequential medical settings.

problem Myopic and non-adaptive decision-making by ML models in sequential medical contexts.
method Sequential Learning-to-Defer (SLTD) framework using model-based reinforcement learning.
result Adaptive deferral policy improves trade-off between long-term outcomes and deferral frequency.

This paper tackles deferral learning with multiple experts, providing strong theoretical guarantees.

problem Optimizing input assignment to experts balancing accuracy and computational cost.
method Introducing new surrogate loss functions and efficient algorithms with strong theoretical learning guarantees.
result Realizable HH-consistency, HH-consistency bounds, and Bayes-consistency for deferral learning.

Optimized deferral improves accuracy in imbalanced settings.

problem Imbalance in expert predictions leads to suboptimal performance in two-stage learning to defer.
method Developed novel cost-sensitive learning algorithms and margin-based loss functions tailored for expert imbalance.
result MILD algorithm shows clear improvements over baselines in image classification and LLM routing tasks.

This thesis tackles learning with multi-class abstention and multi-expert deferral, improving model reliability and efficiency.

problem Improving model reliability and efficiency in large language models (LLMs) by leveraging multiple experts.
method Developed new surrogate losses and consistency guarantees for multi-class classification and regression with deferral.
result Strong consistency guarantees for surrogate losses in multi-class classification and regression with deferral.

Improves accuracy and fairness in prediction systems with multiple domain experts.

problem Designing unbiased and accurate deferral systems with multiple experts.
method Proposes a framework for learning a classifier and deferral system that chooses to defer to multiple human experts.
result Significantly improves accuracy and fairness of final predictions compared to baselines.

A novel framework for regression with multiple experts, addressing challenges in infinite and continuous label spaces.

problem Challenges in regression with multiple experts due to the infinite and continuous nature of the label space.
method Introduces a novel framework for regression with deferral, analyzing both single-stage and two-stage scenarios with new surrogate loss functions.
result Proves HH-consistency bounds for both single-stage and two-stage methods, providing stronger guarantees than Bayes consistency.

TSDS framework reduces edge LLM agent compute by 43%-73% while maintaining safety and reliability.

problem Managing reasoning budget and uncertainty in edge LLM agents.
method Integrates a lightweight convergence probe and a perplexity-based deferral rule calibrated via multi-objective LTT.
result Reduces per-episode thinking compute by 43%-73% over deferral-only baselines.

New L2D framework allows deferring specific parts of a sequence prediction to experts.

problem Current L2D methods defer entire predictions, which is not ideal for long sequences.
method Proposes token-level and one-time rejectors to defer specific outputs of a model prediction to experts.
result Granular deferrals achieve better cost-accuracy tradeoffs than whole deferrals.

Flow taxes and stock taxes preserve portfolio neutrality under specific conditions.

problem Analyzing the impact of different types of taxes on portfolio choice.
method Extending the neutrality result to a full system of ownership taxes, showing how each tax modifies the drift of the wealth process.
result The combined system of taxes preserves portfolio neutrality under three conditions, and the drift-shift symmetry generalizes to a drift-shift-and-rescale symmetry.

Model shows IRS procedure for health insurance tax credits can diverge, proposing a new bisection method.

problem IRS procedure for calculating health insurance tax credits diverges for some self-employed taxpayers.
method Proposed a bisection procedure to calculate appropriate premium tax credits for tax returns.
result The bisection procedure can calculate appropriate premium tax credits for a model of simple tax returns.

Germany's tax admin costs likely exceed 20% of total revenue, requiring system improvement.

problem High tax administrative costs in Germany and other jurisdictions.
method Statistical data, surveys, and a novel approach to measure total administrative cost as a percentage of total tax revenue.
result Germany's 2021 tax administrative costs likely exceeded 20% of total tax revenue.

The Tobin tax is an often discussed method to tame speculation and get a source of income. The discussion is especially heated when the financial markets are in crisis. In this article we refer to foreign exchange markets. The Tobin tax should be a small international tax affecting all currency transactions and thus co…

2002-05-15abs ↗pdf ↗

Study identifies vulnerable jurisdictions in tax networks to prevent treaty abuse.

problem Unexpected tax results due to global economic integration.
method Produced weighted graphs, computed centralities, and detected communities based on withholding tax rates.
result Identified jurisdictions likely to be used for treaty shopping and detected community structures.

AI-driven tax policies improve economic equality and productivity.

problem Lack of appropriate economic data and limited opportunity to experiment.
method Two-level deep reinforcement learning approach to learn dynamic tax policies from observational data.
result AI-driven tax policies improve the trade-off between equality and productivity by 16%.

Study risk-minimizing insurance investments with taxes and expenses.

problem Determining optimal insurance investments in the presence of taxes and expenses.
method Introduced tax- and expense-modified risk-minimization, derived strategies, linked to decompositions, and established equivalence to artificial market approach.
result Equivalence to artificial market approach and consistency with classic risk-minimization.

Extends wealth tax neutrality framework to stochastic volatility and non-homothetic preferences.

problem Ensuring wealth taxes are neutral under various economic conditions.
method Extended Frøseth's neutrality framework to stochastic volatility and non-homothetic preferences, identified four channels of non-neutrality, and applied the framework to global minimum wealth taxes.
result Non-uniform assessment, general equilibrium effects, progressive thresholds, and endogenous labour supply can cause non-neutrality under CRRA preferences.

We develop a model of tax evasion based on the Ising model. We augment the model using an appropriate enforcement mechanism that may allow policy makers to curb tax evasion. With a certain probability tax evaders are subject to an audit. If they get caught they behave honestly for a certain number of periods. Simulatin…

2008-01-18abs ↗pdf ↗

This article describes and explores taxes and debt in finance. Here a situation is thought about, where tax payments would qualify to be considered as debt. Using this principle we can infer that it is possible to create and price a type of bond (Tax Normalization Guarantee) for companies, which would allow them to ent…

2015-05-14abs ↗pdf ↗

Tool detects tax evasion on social media using multi-modal deep learning.

problem Detecting tax evasion on social media platforms.
method Developed a multi-modal deep neural network combining comments, hashtags, and images.
result Multi-modal deep neural network achieved AUC of 0.808 and F1 score of 0.762.

Wealth redistribution through Fokker-Planck equation controls preserves Gini coefficient.

problem Preserving Gini coefficient through proportional wealth tax.
method Formulating optimal redistribution as a control problem for Fokker-Planck equation.
result Progressive taxes redistribute within policy-relevant timescales.

Optimizes tax payments for insurance companies using Lévy risk processes.

problem Maximizing expected accumulated discounted tax payments with a modified objective function.
method Loss-carry-forward tax system applied to spectrally negative Lévy processes until general draw-down time.
result Optimal tax return function and strategy derived.

Wealth tax equivalent to government stake, affecting returns and portfolio choice.

problem Effect of proportional wealth tax on asset returns and portfolio choice.
method Analyzes the economic equivalence and multiplicative separability of wealth tax, deriving four main results.
result The coefficient of variation of wealth is invariant to the tax rate, and optimal portfolio weights are independent of the tax rate.
Tobin tax and market depthcond-mat.stat-mech

This paper investigates - on the basis of the Cont-Bouchaud model - whether a Tobin tax can stabilize foreign exchange markets. Compared to earlier studies, this paper explicitly recognizes that a transaction tax-induced reduction in market depth may increase the price responsiveness of a given order. We find that the …

2003-11-25abs ↗pdf ↗

Tax effects on consumer behavior are ambiguous due to irrationality and limited willpower.

problem Ambiguity in tax effects on consumer behavior due to irrationality and limited willpower.
method Examined through behavioral and neuroeconomics, analyzing consumer behavior in real life.
result Tax effects on consumer behavior are ambiguous due to irrationality and limited willpower.

New approach to optimal income tax theory tackles inequity issues.

problem Optimal tax schedules often lead to minimal tax rates for higher earners, contradicting ethical practices.
method Developed a theorem for piecewise-linear environment and introduced a new utility function parameter.
result New approach leads to more equitable tax schedules, interpreting optimality criteria easily.