A Bayesian Spatial Interaction Model Variant of the Poisson Pseudo-Maximum Likelihood Estimator

James LeSage and Esra Satici
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Esra Satici: General Directorate of Turkish Highways

Chapter Chapter 7 in Spatial Econometric Interaction Modelling, 2016, pp 121-143 from Springer

Abstract: Abstract There are several econometric advantages to the Poisson pseudo-maximum likelihood (PPML) approach to estimating relationships involving flows (Santos Silva and Tenreyro 2010). One is that the coefficients on logged explanatory variables (X) in the (exponential) relationship involving non-logged flow magnitudes as the dependent variable (y) can be interpreted as the elasticity of the conditional expectation of y i with respect to X i .

Keywords: Bayesian; Gravity; Poisson pseudo-maximum likelihood; Spatial interaction; C11; C13; C18; R11 (search for similar items in EconPapers)
Date: 2016
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Persistent link: https://EconPapers.repec.org/RePEc:spr:adspcp:978-3-319-30196-9_7

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DOI: 10.1007/978-3-319-30196-9_7

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