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来源类型 | Working Paper |
规范类型 | 报告 |
DOI | 10.3386/w17588 |
来源ID | Working Paper 17588 |
Marginal Effects in Multivariate Probit and Kindred Discrete and Count Outcome Models, with Applications in Health Economics | |
John Mullahy | |
发表日期 | 2011-11-10 |
出版年 | 2011 |
语种 | 英语 |
摘要 | Estimation of marginal or partial effects of covariates x on various conditional parameters or functionals is often the main target of applied microeconometric analysis. In the specific context of probit models such estimation is straightforward in univariate models, and Greene, 1996, 1998, has extended these results to cover the case of quadrant probability marginal effects in bivariate probit models. |
主题 | Econometrics ; Estimation Methods ; Health, Education, and Welfare ; Health |
URL | https://www.nber.org/papers/w17588 |
来源智库 | National Bureau of Economic Research (United States) |
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/575263 |
推荐引用方式 GB/T 7714 | John Mullahy. Marginal Effects in Multivariate Probit and Kindred Discrete and Count Outcome Models, with Applications in Health Economics. 2011. |
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w17588.pdf(1895KB) | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 |
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