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For applications with a second independent dataset precisely measuring the covariates, but not the outcome, this paper introduces a semiparametrically efficient estimator for the coefficients in a linear regression model. The second sample serves to establish point identification. An empirical application investigating the relationship between income and body mass index illustrates the use of the estimator.<\/jats:p>","DOI":"10.1002\/jae.2654","type":"journal-article","created":{"date-parts":[[2018,9,21]],"date-time":"2018-09-21T19:06:20Z","timestamp":1537556780000},"page":"66-81","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["The two\u2010sample linear regression model with interval\u2010censored covariates"],"prefix":"10.1002","volume":"34","author":[{"given":"David","family":"Pacini","sequence":"first","affiliation":[{"name":"Department of Economics University of Bristol  Bristol UK"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2018,9,20]]},"reference":[{"key":"e_1_2_8_2_1","unstructured":"Asher S. Novosad P. &Rafkin C.(2018).Partial identification of expectations with interval data. 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