{"title":"潜在效用和排列不变性:揭示偏好法","authors":"Roy Allen , John Rehbeck","doi":"10.1016/j.jeconom.2024.105844","DOIUrl":null,"url":null,"abstract":"<div><div>This paper provides partial identification results for latent utility models that satisfy an invariance property on unobservables such as exchangeability. We employ a simple revealed preference argument to “difference out” unobservables, obtaining identifying inequalities for utility indices. We show the differencing argument is also useful for counterfactual analysis. The framework generalizes existing work in discrete choice by allowing latent feasibility sets and by allowing individuals to purchase multiple (possibly continuous) goods. We present a new framework leveraging nesting structures that generalizes nested logit. In a panel setting, we innovate by allowing preferences for variety.</div></div>","PeriodicalId":15629,"journal":{"name":"Journal of Econometrics","volume":"244 1","pages":"Article 105844"},"PeriodicalIF":9.9000,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0304407624001891/pdfft?md5=f06dc5d27091606b5c0da892b207657d&pid=1-s2.0-S0304407624001891-main.pdf","citationCount":"0","resultStr":"{\"title\":\"Latent utility and permutation invariance: A revealed preference approach\",\"authors\":\"Roy Allen , John Rehbeck\",\"doi\":\"10.1016/j.jeconom.2024.105844\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>This paper provides partial identification results for latent utility models that satisfy an invariance property on unobservables such as exchangeability. We employ a simple revealed preference argument to “difference out” unobservables, obtaining identifying inequalities for utility indices. We show the differencing argument is also useful for counterfactual analysis. The framework generalizes existing work in discrete choice by allowing latent feasibility sets and by allowing individuals to purchase multiple (possibly continuous) goods. We present a new framework leveraging nesting structures that generalizes nested logit. In a panel setting, we innovate by allowing preferences for variety.</div></div>\",\"PeriodicalId\":15629,\"journal\":{\"name\":\"Journal of Econometrics\",\"volume\":\"244 1\",\"pages\":\"Article 105844\"},\"PeriodicalIF\":9.9000,\"publicationDate\":\"2024-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S0304407624001891/pdfft?md5=f06dc5d27091606b5c0da892b207657d&pid=1-s2.0-S0304407624001891-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Econometrics\",\"FirstCategoryId\":\"96\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0304407624001891\",\"RegionNum\":3,\"RegionCategory\":\"经济学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ECONOMICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Econometrics","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0304407624001891","RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ECONOMICS","Score":null,"Total":0}
Latent utility and permutation invariance: A revealed preference approach
This paper provides partial identification results for latent utility models that satisfy an invariance property on unobservables such as exchangeability. We employ a simple revealed preference argument to “difference out” unobservables, obtaining identifying inequalities for utility indices. We show the differencing argument is also useful for counterfactual analysis. The framework generalizes existing work in discrete choice by allowing latent feasibility sets and by allowing individuals to purchase multiple (possibly continuous) goods. We present a new framework leveraging nesting structures that generalizes nested logit. In a panel setting, we innovate by allowing preferences for variety.
期刊介绍:
The Journal of Econometrics serves as an outlet for important, high quality, new research in both theoretical and applied econometrics. The scope of the Journal includes papers dealing with identification, estimation, testing, decision, and prediction issues encountered in economic research. Classical Bayesian statistics, and machine learning methods, are decidedly within the range of the Journal''s interests. The Annals of Econometrics is a supplement to the Journal of Econometrics.