| 来源类型 | Article |
| 规范类型 | 其他 |
| DOI | 10.1016/j.jmacro.2018.05.005 |
| Bivariate jointness measures in Bayesian Model Averaging: Solving the conundrum. | |
| Hofmarcher P; Crespo Cuaresma J; Grün B; Humer S; Moser M | |
| 发表日期 | 2018 |
| 出处 | Journal of Macroeconomics 57: 150-165 |
| 出版年 | 2018 |
| 语种 | 英语 |
| 摘要 | We introduce a new measure of bivariate jointness to assess the degree of inclusion dependency between pairs of explanatory variables in Bayesian Model Averaging analysis. Building on the discussion concerning appropriate statistics to assess covariate inclusion dependency in this context, a set of desirable properties for bivariate jointness measures is proposed. We show that none of the proposed measures so far meets all these criteria and an alternative measure is presented which fulfils all of them. Our measure corresponds to a regularised version of the Yule’s Q association coefficient, obtained by combining the original measure with a Jeffreys prior to avoid problems in the case of zero counts. We provide an empirical illustration using cross-country data on economic growth and its determinants. |
| 主题 | World Population (POP) |
| 关键词 | Bayesian Model Averaging Jointness Robust Growth Determinants Association Rules |
| URL | http://pure.iiasa.ac.at/id/eprint/15296/ |
| 来源智库 | International Institute for Applied Systems Analysis (Austria) |
| 引用统计 | |
| 资源类型 | 智库出版物 |
| 条目标识符 | http://119.78.100.153/handle/2XGU8XDN/131493 |
| 推荐引用方式 GB/T 7714 | Hofmarcher P,Crespo Cuaresma J,Grün B,et al. Bivariate jointness measures in Bayesian Model Averaging: Solving the conundrum.. 2018. |
| 条目包含的文件 | 条目无相关文件。 | |||||
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。
