Bayesian spatial probit estimation: a primer and an application to HYV rice adoption
Bayesian spatial probit estimation: a primer and an application to HYV rice adoption
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DOI：
10.1111/j.1574-0862.2002.tb00127.x
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发表时间：
2002-11-01
影响因子：
4.1
通讯作者：
Rahman, S
中科院分区：
文献类型：
--
作者：
Holloway, G;Shankar, B;Rahman, S
空间计量经济学方法日益成为农业、环境和发展经济学应用研究人员标准工具包的一部分。尽管如此，在离散选择环境中的应用仍然很少，尽管贝叶斯范式很有吸引力，但在这些环境中的应用仍然很少。我们提供了贝叶斯空间概率的入门读物，目的是让非用户能够使用一类迭代估计方法，这些方法在贝叶斯圈子中已经相当常规，为应用研究人员工具包提供了极其强大的补充，并且对于空间计量经济学模型的贝叶斯实施至关重要。我们展示了这些方法，并应用它们来估计孟加拉国水稻生产者采用高产品种 (HYV) 的“邻里效应”。我们使用标准的空间概率模型来估计这种关系的强度，并比较包含和不包含邻里效应的政策结论。 (C) 2002 年，Elsevier Science B.V. 出版
Increasingly, spatial econometric methods are becoming part of the standard toolkit of applied researchers in agricultural, environmental and development economics. Nonetheless, applications in discrete-choice settings remain few and despite its appeal, applications of the Bayesian paradigm in these settings are still fewer. We provide a primer to the Bayesian spatial probit with the objective of making accessible to non-users a class of iterative estimation methods that have become fairly routine in Bayesian circles, offer an extremely powerful addition to applied researchers toolkits, and are essential in Bayesian implementation of spatial econometric models. We demonstrate the methods and apply them to estimate the 'neighbourhood effect' in high-yielding variety (HYV) adoption among Bangladeshi rice producers. We estimate the strength of this relationship using a standard, spatial probit model and compare the policy conclusions with and without the neighbourhood effect included. (C) 2002 Published by Elsevier Science B.V.