Estimating Endogenous Effects on Ordinal Outcomes

• 成果类型: Article
• 署名作者: Chesher, Andrew; Rosen, Adam M.; Siddique, Zahra
• 署名单位: University of London; University College London; Duke University; University of Bristol
• 刊物名称: REVIEW OF ECONOMICS AND STATISTICS
• ISSN/ISSBN: 0034-6535
• DOI: 10.1162/rest_a_01348
• 发表日期: 2025
• 关键词: maximum-likelihood-estimation; models

摘要

We examine the use of instrumental variable (IV) methods to measure the effect of a ceteris paribus change in an endogenous variable on an ordered outcome. Specifically, we use these methods to investigate the effect of neighborhood characteristics on subjective well-being (SWB) among participants in the Moving to Opportunity (MTO) housing voucher experiment. We find that the estimated positive effect of a decrease in neighborhood poverty on SWB is sensitive to the specification of the first-stage auxiliary equation for endogenous neighborhood poverty. Our results highlight the influential role of control function restrictions in complete triangular models.