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

Autor:	Esra Satici, James P. LeSage
Rok vydání:	2016
Předmět:	Variables media_common.quotation_subject Bayesian probability PPML Poisson distribution Conditional expectation Exponential function symbols.namesake Geography Statistics Spatial Interaction Model symbols Elasticity (economics) media_common
Zdroj:	Advances in Spatial Science ISBN: 9783319301945
DOI:	10.1007/978-3-319-30196-9_7
Popis:	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 .
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::49977bea436f06d56c71e360f33047a3 https://doi.org/10.1007/978-3-319-30196-9_7 Zobrazit plný text záznamu