Experimental Measures of Preferences to Augment Survey Research

该SGER提供资金，以利用一个前所未有的机会，将基于联合收割机的实验室偏好措施与大规模纵向调查-墨西哥家庭实况调查相结合。 在实验室测试中，激励的、基于任务的偏好测量已被证明上级调查测量。 这些任务的现场测试最近受到了相当大的关注，证明这些基于实验室的任务可以有效地转化为现场设置。 然而，结合调查和实验的措施已被限制在少数研究只涉及一个任务。 该项目开发和完善的时间偏好，风险态度，亲社会的偏好和现场测试的几个方面的措施与一个小的子样本（1000名受试者）的下一波的MxFLS。 SGER资金的要求，因为时间框架短，因为研究的探索性。 该项目的这一阶段将测试可行性，并完善将实验性偏好措施附加到随后几波调查中更大的子样本的协议。 更广泛的影响是：o制定和完善可在实地用于广泛调查研究的实验性偏好措施。更好地理解调查和基于任务的研究方法之间的互补性。o收集偏好数据，可用于完善个人和家庭决策模型。测试实验偏好测量的外部有效性，以评估这些测量预测个人和家庭未来行为的能力。

This SGER provides funding to exploit an unprecedented opportunity to combine laboratory-experiment based measures of preferences with a large-scale longitudinal survey, the Mexico Family Live Survey (MxFLS). Incentivized, task-based measures of preferences have been shown to be superior to survey measures in laboratory tests. Field testing of these tasks has received considerable attention recently, proving that these lab-based tasks can be effectively translated into field settings. However, combining survey and experimental measures has been limited to a few studies involving only one task. This project develops and refines measures of time preferences, risk attitudes, and several aspects of pro-social preferences and field tests them with a small subsample (1000 subjects) of the next wave of the MxFLS. SGER funding is requested because of the short time-frame, and because of the exploratory nature of the research. This phase of the project will test the feasibility and refine the protocol for attaching experimental measures of preferences to a much larger subsample of the survey in subsequent waves. The broader impacts are: o The development and refining of experimental preference measures that can be used in the field to accompany a wide range of survey studies. o A better understanding of the complementarities between survey and task-based research methods. o Collection of preference data that can be used to refine models of individual and family decision making. o Testing of the external validity of experimental preference measures, to assess the power of these measures to predict future behavior of individuals and families.