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Then, a performance comparison of the following selected estimators is made through a Monte Carlo experiment: the standard Tobit maximum\u2010likelihood estimator, the Buckley\u2013James estimator, Horowitz's distribution\u2010free least\u2010squares estimator, a conditional version of Horowitz's estimator and Powell's least absolute deviations estimator. An empirical example of Engel curve estimation with zero expenditures follows.<\/jats:p>","DOI":"10.1002\/jae.3950040405","type":"journal-article","created":{"date-parts":[[2007,7,12]],"date-time":"2007-07-12T14:46:48Z","timestamp":1184251608000},"page":"361-382","source":"Crossref","is-referenced-by-count":28,"title":["A Monte Carlo comparison of semiparametric Tobit estimators"],"prefix":"10.1002","volume":"4","author":[{"given":"Choon\u2010Geol","family":"Moon","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2006,8,8]]},"reference":[{"key":"e_1_2_1_2_1","volume-title":"Advanced Econometrics","author":"Amemiya T.","year":"1985"},{"key":"e_1_2_1_3_1","unstructured":"Br\u00e4nn\u00e4s K.andT. 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