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A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

169,341 papers · 148 categories

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18375573 · Jun 202019922001200920182026
48 results for wage transition

We consider the role of unobservables, such as differences in search frictions, reservation wages, and productivities for the explanation of wage differentials between migrants and natives. We disentangle these by estimating an empirical general equilibrium search model with on-the-job search due to Bontemps, Robin, an…

2013-06-07abs ↗pdf ↗

Audit fees change based on company and economic factors during auditor switching.

problem Understanding how audit fees change when auditors switch firms.
method Examined the impact of auditor switching on audit fees, considering company characteristics and economic data.
result The direction and magnitude of audit fee changes during switching depend on economic stability and company characteristics.

Foundation models improve wage gap decomposition by capturing omitted career history factors.

problem Estimating wage disparities using incomplete career history data.
method Fine-tuning foundation models to mitigate omitted variable bias and estimate wage gaps.
result Foundation models can decompose gender wage gaps more accurately than traditional econometric methods.

The gender wage gap varies significantly among women based on socio-economic characteristics.

problem Understanding the extent of gender inequality in earnings among U.S. women.
method High-dimensional wage regression and double lasso analysis of 2016 American Community Survey data.
result The gender wage gap varied substantially across women and was driven by marital status, having children, race, occupation, industry, and educational attainment.

Personal income distributions in Japan are analyzed empirically and a simple stochastic model of the income process is proposed. Based on empirical facts, we propose a minimal two-factor model. Our model of personal income consists of an asset accumulation process and a wage process. We show that these simple processes…

2005-05-25abs ↗pdf ↗

Two sets of high quality income data are analysed in detail, one set from the UK, one from the USA. It is firstly demonstrated that both a log-normal distribution and a Boltzmann distribution can give very accurate fits to both these data sets. The absence of a power tail in the US data set is then discussed. Taken in …

2004-06-28abs ↗pdf ↗

Extends Demographic Parity for fairer wage predictions with expert knowledge.

problem Inadequate fairness metrics limit user domain knowledge and ignore intersectional fairness.
method Develops a parametric method to incorporate expert knowledge in fair predictions.
result Offers a robust solution for real-life applications with limited data and spending constraints.

Model uses Preisach hysteresis to predict gig worker acceptance, reducing costs and improving fill rates.

problem Predicting and optimizing gig worker acceptance in labor markets.
method Preisach hysteresis model applied to neural network and XGBoost classifier for binary transaction outcomes.
result Model reduces total wage bill by 21.3% and increases expected fill rate by 9.7 pp.

The paper analyzes optimal retirement strategies in a market with habit persistence and jump diffusion, finding discontinuous investment strategies.

problem Optimal retirement decision in a market with habit persistence and jump diffusion.
method Habit reduction method and duality approach to solve the dual problem using a C1C^1 version of Itô's formula.
result Discontinuous investment strategies are possible when the so-called ``de facto wealth'' exceeds a critical proportion of wage.

Method selects valid IVs from a large set using clustering and test of overidentifying restrictions.

problem Selecting valid instrumental variables from a large set of candidates.
method Agglomerative hierarchical clustering combined with a test of overidentifying restrictions.
result Achieves oracle properties when the largest group of IVs is valid.

Program outlines optimizing economic growth through balanced monetary and fiscal policies.

problem Interlinked economic factors like unemployment, investment, consumption, and inflation.
method Response theory principles applied to derive policy implications.
result Optimizing growth requires balancing monetary injection between consumption/wages and investment/returns loops.

Unified framework for causal inference under sample selection.

problem Causal inference under sample selection with treatment and outcome non-randomness.
method ForestRiesz estimator, Riesz representation framework.
result ForestRiesz estimator yields more stable treatment effect estimates than conventional double machine learning approaches.

Investment and insurance strategy optimized under inflation using BSDEs.

problem Optimal investment, consumption, and insurance selection in inflationary environment.
method Theory of quadratic-exponential backward stochastic differential equations (BSDEs) with jumps.
result Explicit solutions for optimal investment strategies under exponential and power utilities.

The paper examines how intensive and extensive variables affect long-run prices and aggregate data in an economy.

problem Understanding how intensive and extensive variables influence long-run prices and aggregate data in an economy.
method The paper reviews the production function and the hypothesis of equilibrium in the neoclassical framework, providing a toy model to aggregate extensive quantities in a neoclassical framework.
result Baumol and Bowen's statement of equal wages is inevitable from a thermodynamics perspective in a soup of sectors in an economy.

The aim of this work is to explore the possible types of phenomena that simple macroeconomic Agent-Based models (ABM) can reproduce. We propose a methodology, inspired by statistical physics, that characterizes a model through its 'phase diagram' in the space of parameters. Our first motivation is to understand the lar…

2013-07-11abs ↗pdf ↗

Paper solves investment, consumption, and life insurance problem with stochastic volatility.

problem Investment, consumption, and life insurance selection with stochastic volatility.
method Stochastic optimal control with maximum principle.
result Proves sufficient and necessary conditions for optimal strategy.

Uncovering how college effects vary by subgroups using machine learning.

problem Exploring how college effects vary by subgroups in observational data.
method Causal trees for recursive subgrouping, honest estimation, leaf-specific matching, sensitivity analyses.
result Identifies new subgroups of individuals whose college effects on wages vary significantly.

In this paper, simple mathematical models from Control Theory are applied to three very important economic paradigms, namely (a) minimum wages in self-regulating markets, (b) market-versus-true values and currency rates, and (c) government spending and taxation levels. Analytical solutions are provided in all three par…

2013-03-23abs ↗pdf ↗

The paper examines optimal annuitization for retirees with potential post-retirement work.

problem Post-retirement labor participation complicates optimal annuitization decisions.
method Stochastic control, optimal stopping, expected utility maximization, martingale methodology, duality techniques.
result The optimal annuitization time is linearly dependent on initial wealth, with or without labor income.

We study a monetary version of the Keen model by merging two alternative extensions, namely the addition of a dynamic price level and the introduction of speculation. We recall and study old and new equilibria, together with their local stability analysis. This includes a state of recession associated with a deflationa…

2014-12-23abs ↗pdf ↗

The analysis of markets with indivisible goods and fixed exogenous prices has played an important role in economic models, especially in relation to wage rigidity and unemployment. This research report provides a mathematical and computational details associated to the mathematical programming based approaches proposed…

2014-01-14abs ↗pdf ↗

Two environments are enough to infer causal graphs and counterfactuals.

problem Inferring causal relations from multiple environments, especially for nonlinear mechanisms.
method Using structural causal models and the invariance principle, the study shows that only two auxiliary environments are sufficient for causal graph inference and counterfactual inference.
result Two auxiliary environments are sufficient for identifying causal graphs and counterfactuals.

Deep learning predicts employment changes and industry health.

problem Forecasting short-term employment changes and assessing long-term industry health.
method LSTNet, a multi-scale deep learning model, processes multivariate time series data.
result LSTNet outperforms baseline models in most sectors, especially stable ones.

We determine the optimal amount of life insurance for a household of two wage earners. We consider the simple case of exponential utility, thereby removing wealth as a factor in buying life insurance, while retaining the relationship among life insurance, income, and the probability of dying and thus losing that income…

2012-05-27abs ↗pdf ↗

Fair market valuations ignore future worker profits in employee-owned firms.

problem Ignoring future worker profits in fair market valuations for employee-owned firms.
method Analyzing property rights and residual claimants in employee-owned firms.
result Fair market valuations are inappropriate for employee-owned firms.

BiHRNN predicts inflation by leveraging hierarchical structure and bidirectional RNNs.

problem Accurate inflation forecasting is challenging due to dynamic factors and the layered structure of the Consumer Price Index.
method Bi-directional Hierarchical Recurrent Neural Network (BiHRNN) model that uses bidirectional information flow between levels and informative constraints on RNN parameters.
result BiHRNN significantly outperforms traditional RNN models in forecasting accuracy.

DiD-BCF model improves causal inference in panel data with robust non-parametric methods.

problem Challenges in Difference-in-Differences (DiD) estimation, especially heterogeneous treatment effects and non-linearities.
method Difference-in-Differences Bayesian Causal Forest (DiD-BCF) with PTA-based reparameterization.
result DiD-BCF provides superior performance and uncovers significant heterogeneity in treatment effects.

Develops methods to simulate rare transitions in molecular systems.

problem Rare transitions between metastable states in molecular systems are difficult to study due to limited data.
method Two novel methods: chain-based and midpoint-based approaches.
result Demonstrates effectiveness of methods in both data-rich and data-scarce scenarios.

The paper models market crashes as phase transitions, finding dynamic transitions offer better predictions.

problem Understanding and predicting extreme financial events like market crashes.
method Employing phase transition theory, focusing on endogenous crashes, and comparing DPT, CPT, and SPT.
result Dynamic phase transitions provide more accurate predictions of market crashes compared to critical and stochastic models.