摘要翻译：
我们使用1997年至2015年间122个国家的小组来分析解释通货膨胀的力量。将经济理论驱动的模型与boosting算法进行比较，并考虑了非线性和结构突变。boosting算法优于基于理论的模型。在37个解释变量中，能源价格与能源租金之间的交互作用最为突出。人口发展也很重要。全球化与技术、公共债务、中央银行独立性和政治特征的相关性较小。人均GDP的相关性大于产出缺口，信贷增速大于M2增速。我们确定了自全球金融危机以来的几个结构性中断。
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英文标题：
《What Drives Inflation and How: Evidence from Additive Mixed Models
  Selected by cAIC》
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作者：
Philipp F. M. Baumann, Enzo Rossi, Alexander Volkmann
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最新提交年份：
2021
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分类信息：

一级分类：Statistics        统计学
二级分类：Applications        应用程序
分类描述：Biology, Education, Epidemiology, Engineering, Environmental Sciences, Medical, Physical Sciences, Quality Control, Social Sciences
生物学，教育学，流行病学，工程学，环境科学，医学，物理科学，质量控制，社会科学
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一级分类：Economics        经济学
二级分类：Econometrics        计量经济学
分类描述：Econometric Theory, Micro-Econometrics, Macro-Econometrics, Empirical Content of Economic Relations discovered via New Methods, Methodological Aspects of the Application of Statistical Inference to Economic Data.
计量经济学理论，微观计量经济学，宏观计量经济学，通过新方法发现的经济关系的实证内容，统计推论应用于经济数据的方法论方面。
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英文摘要：
  We analyze the forces that explain inflation using a panel of 122 countries from 1997 to 2015. Models motivated by economic theory are compared to a boosting algorithm, and non-linearities and structural breaks are considered. The boosting algorithm outperforms theory-based models. The interaction of energy price and energy rents stand out among 37 explanatory variables. Demographic developments are also important. Globalization and technology, public debt, central bank independence and political characteristics are less relevant. GDP per capita is more relevant than the output gap, credit growth more than M2 growth. We identify several structural breaks since the global financial crisis.
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PDF链接：
https://arxiv.org/pdf/2006.06274