55 research outputs found

    Combining Outcome-Based and Preference-Based Matching: A Constrained Priority Mechanism

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    We introduce a constrained priority mechanism that combines outcome-based matching from machine-learning with preference-based allocation schemes common in market design. Using real-world data, we illustrate how our mechanism could be applied to the assignment of refugee families to host country locations, and kindergarteners to schools. Our mechanism allows a planner to first specify a threshold gˉ\bar g for the minimum acceptable average outcome score that should be achieved by the assignment. In the refugee matching context, this score corresponds to the predicted probability of employment, while in the student assignment context it corresponds to standardized test scores. The mechanism is a priority mechanism that considers both outcomes and preferences by assigning agents (refugee families, students) based on their preferences, but subject to meeting the planner's specified threshold. The mechanism is both strategy-proof and constrained efficient in that it always generates a matching that is not Pareto dominated by any other matching that respects the planner's threshold.Comment: This manuscript has been accepted for publication by Political Analysis and will appear in a revised form subject to peer review and/or input from the journal's editor. End-users of this manuscript may only make use of it for private research and study and may not distribute it furthe

    How economic, humanitarian, and religious concerns shape European attitudes toward asylum seekers

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    What types of asylum seekers are Europeans willing to accept? We conducted a conjoint experiment asking 18,000 eligible voters in 15 European countries to evaluate 180,000 profiles of asylum seekers that randomly varied on nine attributes. Asylum seekers who have higher employability, have more consistent asylum testimonies and severe vulnerabilities, and are Christian rather than Muslim received the greatest public support. These results suggest that public preferences over asylum seekers are shaped by sociotropic evaluations of their potential economic contributions, humanitarian concerns about the deservingness of their claims, and anti-Muslim bias. These preferences are similar across respondents of different age, education, income, and political ideology, as well as across the surveyed countries. This public consensus on what types of asylum seekers to accept has important implications for theory and policy

    Learning under random distributional shifts

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    Many existing approaches for generating predictions in settings with distribution shift model distribution shifts as adversarial or low-rank in suitable representations. In various real-world settings, however, we might expect shifts to arise through the superposition of many small and random changes in the population and environment. Thus, we consider a class of random distribution shift models that capture arbitrary changes in the underlying covariate space, and dense, random shocks to the relationship between the covariates and the outcomes. In this setting, we characterize the benefits and drawbacks of several alternative prediction strategies: the standard approach that directly predicts the long-term outcome of interest, the proxy approach that directly predicts a shorter-term proxy outcome, and a hybrid approach that utilizes both the long-term policy outcome and (shorter-term) proxy outcome(s). We show that the hybrid approach is robust to the strength of the distribution shift and the proxy relationship. We apply this method to datasets in two high-impact domains: asylum-seeker assignment and early childhood education. In both settings, we find that the proposed approach results in substantially lower mean-squared error than current approaches

    Using eye-tracking to understand decision-making in conjoint experiments

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    Conjoint experiments are popular, but there is a paucity of research on respondents' underlying decision-making processes. We leverage eye-Tracking methodology and a series of conjoint experiments, administered to university students and local community members, to examine how respondents process information in conjoint surveys. There are two main findings. First, attribute importance measures inferred from the stated choice data are correlated with attribute importance measures based on eye movement. This validation test supports the interpretation of common conjoint metrics, such as average marginal component effects (AMCEs), as measures of attribute importance. Second, when we experimentally increase the number of attributes and profiles in the conjoint table, respondents view a larger absolute number of cells but a smaller fraction of the total cells displayed. Moving from two to three profiles, respondents search more within-profile, rather than within-Attribute, to build summary evaluations. However, respondents' stated choices remain fairly stable regardless of the number of attributes and profiles in the conjoint table. Together, these patterns speak to the robustness of conjoint experiments and are consistent with a bounded rationality mechanism. Respondents adapt to complexity by selectively incorporating relevant new information to focus on important attributes, while ignoring less relevant information to reduce cognitive processing costs

    Europeans support a proportional allocation of asylum seekers

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    What type of common asylum regime would Europeans support? We conducted a survey asking 18,000 citizens of 15 European countries about their preferences regarding different mechanisms for allocating asylum seekers across countries. A large majority supports an allocation that is proportional to each country’s capacity over the status quo policy of allocation based on the country of first entry. This majority support is weakened but persists even among a randomly assigned subset of respondents who were made aware that moving to proportional allocation would increase the number of asylum seekers allocated to their own country. These results suggest that citizens care deeply about the fairness of the responsibility-sharing mechanism, rather than only the consequences of the asylum policy. The findings also highlight a potential pathway towards reform of the Common European Asylum System

    Europeans would accept more Refugees—if the asylum system were fair

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    Kirk Bansak, Jens Hainmueller and Dominik Hangartner’s study of the European refugee crisis shows broad support across Europe for the proportional allocation of asylum seekers
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