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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.

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11 results for Willingness-to-Pay

Paper explores how risk-averse individuals' willingness to pay for insurance varies with risk probability.

problem Understanding how risk-averse individuals' willingness to pay for insurance varies with risk probability.
method Analyzes willingness to pay (WTP) for partial risk reduction within the dual theory of decision.
result In dual theory, reducing the probability of risk and providing insurance can be complementary if the surplus increases with risk reduction.

Study finds farmers are willing to pay higher premiums for higher coverage in agricultural insurance.

problem Determining the demand factors and WTP for agricultural insurance.
method Conducted a survey of 200 farmers to analyze the impact of socio-demographic variables and premium on insurance purchase decisions.
result Farmers are willing to pay higher premiums for higher coverage in agricultural insurance.

A new model uses neural networks for consistent discrete choice analysis.

problem Difficulties in specifying utility functions in RUM models.
method Alternative-Specific and Shared weights Neural Network (ASS-NN) model.
result ASS-NN provides consistent outcomes without specifying utility form.

Study finds consumers are more price-sensitive before livestreams than after.

problem Understanding consumer demand during livestreaming lifecycle.
method Examined consumer demand for live events and recorded versions using data from a livestreaming platform.
result Demand is more price-sensitive before livestreams than after.

New loss functions optimize pricing policies using transaction data, ensuring expected revenue guarantees.

problem Optimizing pricing policies with transaction data where valuation data is not directly observed.
method Introducing convex loss functions for contextual pricing, focusing on log-concave valuation distributions.
result Proved expected revenue bounds for generalized hinge and quantile pricing loss functions.

Study finds billing codes at IPO boost digital health companies' financial performance.

problem Identifying factors that drive long-term financial success in digital health companies.
method Analyzed 33 digital health IPOs from 2010-2021, comparing companies with and without billing codes.
result Companies with billing codes at IPO were significantly more likely to achieve positive CAGR and higher market capitalization.

This study measures price risk aversion using indirect utility functions in a lab experiment.

problem Measuring risk aversion with uncertain prices in experimental economics.
method Using indirect utility functions and a multiple price list method in a lab experiment.
result Price risk aversion is statistically greater than payoff risk aversion.