Abstract
In many stated choice experiments researchers observe the random variables Vt, Xt, and Yt = 1{U + δ⊤Xt + 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 |
|---|---|
| Journal | Econometric Theory |
| Volume | 26 |
| Issue number | 6 |
| Pages (from-to) | 1846-1854 |
| Number of pages | 9 |
| ISSN | 0266-4666 |
| DOIs | |
| Publication status | Published - 2010 |