A computationally fast estimator for random coefficients logit demand models using aggregate data.
This article proposes a computationally fast estimator for random coefficients logit demand models using aggregate data that Berry, Levinsohn, and Pakes (; hereinafter, BLP) suggest. Our method, which we call approximate BLP (ABLP), is based on a linear approximation of market share functions. The c...
| Publicado en: | RAND Journal of Economics (Wiley-Blackwell) Vol. 46; no. 1; pp. 86 - 103 |
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| Autores principales: | , |
| Formato: | Artículo |
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Wiley-Blackwell
Spring2015
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |