Bosquet, Clément and Boulhol, Hervé (2014) Applying the GLM Variance Assumption to overcome the scale-dependence of the Negative Binomial QGPML estimator. Econometric Reviews, 33 (7). pp. 772-784. ISSN 0747-4938
Full text not available from this repository.Abstract
Recently, various studies have used the Poisson Pseudo-Maximal Likehood (PML) to estimate gravity specifications of trade flows and non-count data models more generally. Some papers also report results based on the Negative Binomial Quasi-Generalised Pseudo-Maximum Likelihood (NB QGPML) estimator, which encompasses the Poisson assumption as a special case. This note shows that the NB QGPML estimators that have been used so far are unappealing when applied to a continuous dependent variable which unit choice is arbitrary, because estimates artificially depend on that choice. A new NB QGPML estimator is introduced to overcome this shortcoming.
| Item Type: | Article |
|---|---|
| Official URL: | http://www.tandfonline.com/toc/LECR20/current |
| Additional Information: | © 2014 Taylor & Francis Group |
| Divisions: | Spatial Economics Research Centre |
| Subjects: | H Social Sciences > HB Economic Theory Q Science > QA Mathematics |
| JEL classification: | C - Mathematical and Quantitative Methods > C1 - Econometric and Statistical Methods: General > C13 - Estimation C - Mathematical and Quantitative Methods > C2 - Econometric Methods: Single Equation Models; Single Variables > C21 - Cross-Sectional Models; Spatial Models; Treatment Effect Models F - International Economics > F1 - Trade > F10 - General |
| Date Deposited: | 04 Mar 2014 10:09 |
| Last Modified: | 12 Dec 2024 00:36 |
| URI: | http://eprints.lse.ac.uk/id/eprint/55967 |
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