首页 | 本学科首页   官方微博 | 高级检索  
     检索      


Gravity model estimation: fixed effects vs. random intercept Poisson pseudo-maximum likelihood
Authors:S Prehn  B Brümmer  T Glauben
Institution:1. Department of Agricultural Markets, Marketing and World Agricultural Trade, Leibniz Institute of Agricultural Development in Transition Economies, Halle (Saale), Germany;2. Department of Agricultural Economics and Rural Development, Georg-August-University G?ttingen, G?ttingen, Germanyprehn@iamo.de;4. Department of Agricultural Economics and Rural Development, Georg-August-University G?ttingen, G?ttingen, Germany
Abstract:The standard Anderson and van Wincoop gravity model has typically been estimated using a fixed-effects approach. However, a fixed-effects approach has a major drawback: it does not allow for the estimation of exporter- and importer-invariant variables. Thus, at least in a cross-sectional context, economically relevant variables such as exporter and importer gross domestic product are disregarded. We propose a random intercept model to address this gap. For large datasets, this approach not only provides identical estimates like a fixed-effects approach, but also allows for the estimation of exporter- and importer-invariant variables.
Keywords:Gravity model  Poisson pseudo-maximum likelihood  fixed-effects model  random intercept model
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号