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10 results for self-selection

The paper proves generalization bounds and stopping rules for self-selected data in reciprocal learning.

problem Generalization of learning algorithms using self-selected data.
method Proves universal generalization bounds using covering numbers and Wasserstein ambiguity sets.
result Provides stopping rules for reciprocal learning algorithms to ensure out-of-sample performance.

New algorithm tackles self-selection bias in estimating linear regressors.

problem Estimating kk linear regressors with self-selection bias in dd dimensions.
method First local convergence algorithm for self-selection, reducing to coarsening problem.
result Improves running time of previous algorithms by a poly(d, k, 1/ε) factor.

Estimates linear models from self-selected data, addressing econometric challenges.

problem Estimating linear models from self-selected data with known or unknown selection criteria.
method Developed efficient algorithms for both known and unknown selection criteria.
result Identified and estimated linear models from self-selected data, accommodating various selection criteria.

One of the key elements in the banking industry rely on the appropriate selection of customers. In order to manage credit risk, banks dedicate special efforts in order to classify customers according to their risk. The usual decision making process consists in gathering personal and financial information about the borr…

2017-04-14abs ↗pdf ↗

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.

Optimal insurance contracts are designed to screen risk preferences and risk types under asymmetric information.

problem Designing optimal insurance contracts under asymmetric information and risk types.
method Constructing a menu of contracts that maximizes mean-variance utilities, subject to truth-telling constraints.
result Equilibrium contracts exhibit nonlinear pricing with decreasing risk loadings, inducing self-selection.