“计量模型多样性悖论”研究
发布时间：2018-08-30 13:23
【摘要】：在排除模型误用以后,将经济学研究中针对同一问题的研究,不同计量模型的结果各不相同,甚至结论截然相反问题称为"计量模型多样性悖论"。分析此问题产生的原因,主要是关键变量的多样性、方程形式设定的多样性和计量模型的多样性,提出采用元分析来解决这个问题,指出在元分析应用过程中应力求单个模型的精确,尽可能多地采用合适的模型,注意同类性质的结果才能进行元分析。同时,讨论元分析带来的新问题,比如对研究团队的计量经济学水平要求较高,增加了成本,延长了研究的时间,也加大了论文的篇幅等,但这是计量经济学发展过程中的正常现象,并不涉及采用元分析解决"计量模型多样性悖论"问题的科学性。
[Abstract]:After eliminating the misuse of the model, the results of different econometric models are different for the same problem in the study of economics, and even the opposite problem is called "the paradox of econometric model diversity". This paper analyzes the causes of this problem, mainly the diversity of key variables, the diversity of equations and the diversity of measurement models, and puts forward a meta-analysis method to solve this problem. It is pointed out that in the application of meta-analysis, we should strive for the accuracy of a single model, adopt as many suitable models as possible, and pay attention to the results of similar properties before we can carry out meta-analysis. At the same time, it discusses the new problems brought by meta-analysis, such as the high level of econometrics required of the research team, the increase of cost, the prolongation of the research time, and the length of the thesis, etc. However, this is a normal phenomenon in the course of econometrics development and does not involve the scientific nature of solving the problem of "econometric model diversity paradox" by meta-analysis.
【作者单位】： 贵州财经大学贵阳大数据金融学院;
【基金】：商务部重点课题《欠发达地区创新驱动发展的关键问题与对策研究》(2015SWBZD03)
【分类号】：F224
本文编号：2213202
[Abstract]:After eliminating the misuse of the model, the results of different econometric models are different for the same problem in the study of economics, and even the opposite problem is called "the paradox of econometric model diversity". This paper analyzes the causes of this problem, mainly the diversity of key variables, the diversity of equations and the diversity of measurement models, and puts forward a meta-analysis method to solve this problem. It is pointed out that in the application of meta-analysis, we should strive for the accuracy of a single model, adopt as many suitable models as possible, and pay attention to the results of similar properties before we can carry out meta-analysis. At the same time, it discusses the new problems brought by meta-analysis, such as the high level of econometrics required of the research team, the increase of cost, the prolongation of the research time, and the length of the thesis, etc. However, this is a normal phenomenon in the course of econometrics development and does not involve the scientific nature of solving the problem of "econometric model diversity paradox" by meta-analysis.
【作者单位】： 贵州财经大学贵阳大数据金融学院;
【基金】：商务部重点课题《欠发达地区创新驱动发展的关键问题与对策研究》(2015SWBZD03)
【分类号】：F224
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