Abstract
In many stated choice experiments researchers observe the random variables Vt, Xt, and Yt = 1{U + δxs22A4Xt + εt <Vt}, t ≤ T, where δ is an unknown parameter and U and εt are unobservable random variables. We show that under weak assumptions the distributions of U and εt and also the unknown parameter δ can be consistently estimated using a sieved maximum likelihood estimation procedure.
Original language | English |
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Journal | Econometric Theory |
Volume | 26 |
Issue number | 6 |
Pages (from-to) | 1846-1854 |
ISSN | 0266-4666 |
DOIs | |
Publication status | Published - 2010 |