Econometric method of economic data with measurement error and its application

带有测量误差的经济数据的计量方法及其应用

• 批准号: 10630019
• 负责人: HASEGAWA Hikaru
• 金额: $ 1.86万
• 依托单位: HOKKAIDO UNIVERSITY
• 依托单位国家: 日本
• 项目类别: Grant-in-Aid for Scientific Research (C)
• 财政年份: 1998
• 资助国家: 日本
• 起止时间: 1998 至 1999
• 项目状态: 已结题
• 来源: https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-10630019/
• 关键词: Measurement errors; Bayesian analysis; Engel curve; Markov chain Monte Carlo (MCMC); HOGLEX demand system; エンゲル関数; 需要モデル

In this research, we considered the Bayesian estimation of some economic models with the measurement errors on both the left and the right hand side. It is noteworthy that in the Bayesian approach no additional data are required in contrast with the non-Bayesian approach. In particular, we estimate the HOGLEX demand system and the Engel curves specified as Working-Leser form. We also derived the Bayesian estimation procedure in both models with and without an instrumental variable. Using household expenditure unit records from Thailand, Philippines and United Kingdom, this research applied the developed Bayesian methods to estimate the models. From the results of this research, the Bayesian methods are very suitable to the estimation of models with measurement errors and are applied to complex models, which are not estimated easily by the non-Bayesian methods.

在这项研究中，我们考虑了贝叶斯对某些经济模型的估计，并在左侧和右侧都有测量错误。值得注意的是，在贝叶斯方法中，与非拜拜斯方法相比，不需要其他数据。特别是，我们估计了Hoglex需求系统和指定为工作时间的Engel曲线。我们还在具有和没有仪器变量的两个模型中得出了贝叶斯估计程序。这项研究使用了泰国，菲律宾和英国的家庭支出单位记录，应用了开发的贝叶斯方法来估计模型。从这项研究的结果来看，贝叶斯方法非常适合用测量误差的模型估计，并应用于复杂模型，而非bayesian方法不容易估计。