The Poisson Quasi-Maximum Likelihood Estimator : A Solution to the “Adding Up” Problem in Gravity Models
This article shows that the Poisson Quasi-Maximum Likelihood (QML) estimator applied to the gravity model produces estimates in which, summing across all partners, actual and estimated total trade flows are identical. Other methods such as OLS do not have this desirable property. Indeed, Poisson is...
Main Authors: | Arvis, Jean-François, Shepherd, Ben |
---|---|
Format: | Journal Article |
Language: | en_US |
Published: |
Taylor and Francis
2013
|
Subjects: | |
Online Access: | http://hdl.handle.net/10986/13363 |
Similar Items
-
Identification Properties for Estimating the Impact of Regulation on Markups and Productivity
by: Sampi, James, et al.
Published: (2021) -
Making Gravity Great Again
by: Martin, Will
Published: (2020) -
Estimating the Effects of Credit Constraints on Productivity of Peruvian Agriculture
by: Woutersen, Tiemen, et al.
Published: (2014) -
Cost-effective Estimation of the Population Mean Using Prediction Estimators
by: Fujii, Tomoki, et al.
Published: (2013) -
Re-Re-Reply to "The Impact of Microcredit on the Poor in Bangladesh : Revisiting the Evidence"
by: Pitt, Mark M.
Published: (2014)