| 来源类型 | Working Paper |
| 规范类型 | 报告 |
| DOI | 10.3386/t0246 |
| 来源ID | Technical Working Paper 0246 |
| Estimating Log Models: To Transform or Not to Transform? | |
| Willard G. Manning; John Mullahy | |
| 发表日期 | 1999-11-01 |
| 出版年 | 1999 |
| 语种 | 英语 |
| 摘要 | Data on health care expenditures, length of stay, utilization of health services, consumption of unhealthy commodities, etc. are typically characterized by: (a) nonnegative outcomes; (b) nontrivial fractions of zero outcomes in the population (and sample); and (c) positively-skewed distributions of the nonzero realizations. Similar data structures are encountered in labor economics as well. This paper provides simulation-based evidence on the finite-sample behavior of two sets of estimators designed to look at the effect of a set of covariates x on the expected outcome, E(y|x), under a range of data problems encountered in every day practice: generalized linear models (GLM), a subset of which can simply be viewed as differentially weighted nonlinear least-squares estimators, and those derived from least-squares estimators for the ln(y). We consider the first- and second- order behavior of these candidate estimators under alternative assumptions on the data generating processes. Our results indicate that the choice of estimator for models of ln(E(x|y)) can have major implications for empirical results if the estimator is not designed to deal with the specific data generating mechanism. Garden-variety statistical problems - skewness, kurtosis, and heteroscedasticity - can lead to an appreciable bias for some estimators or appreciable losses in precision for others. |
| 主题 | Econometrics ; Estimation Methods ; Health, Education, and Welfare ; Health |
| URL | https://www.nber.org/papers/t0246 |
| 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/564950 |
| 推荐引用方式 GB/T 7714 | Willard G. Manning,John Mullahy. Estimating Log Models: To Transform or Not to Transform?. 1999. |
| 条目包含的文件 | ||||||
| 文件名称/大小 | 资源类型 | 版本类型 | 开放类型 | 使用许可 | ||
| t0246.pdf（2061KB） | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 | ||
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