| 来源类型 | Working Paper
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| 规范类型 | 报告
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| DOI | 10.3386/w16354
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| 来源ID | Working Paper 16354
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| Multivariate Fractional Regression Estimation of Econometric Share Models |
| John Mullahy
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| 发表日期 | 2010-09-09
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| 出版年 | 2010
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| 语种 | 英语
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| 摘要 | This paper describes and applies econometric strategies for estimating regression models of economic share data outcomes where the shares may take boundary values (zero and one) with nontrivial probability. The main focus of the paper is on the conditional mean structures of such data. The paper proposes an extension of the fractional regression methodology proposed by Papke and Wooldridge, 1996, 2008, in univariate cross-sectional and panel contexts. The paper discusses the stochastic aspects of share definition and measurement, and summarizes important features of the existing literature on econometric strategies for share model estimation. The paper then goes on to discuss the univariate fractional regression estimation strategies proposed by Papke and Wooldridge and to extend the fractional regression approach to estimation of and inference about regression models describing the multivariate share data. Some issues involving outcome aggregation/ disaggregation are considered, as is a full likelihood estimation approach based on Dirichlet-multinomial models. The paper demonstrates the workings of these various empirical strategies by estimating models of financial asset portfolio shares using data from the 2001, 2004, and 2007 U.S. Surveys of Consumer Finances. |
| 主题 | Econometrics
; Estimation Methods
; Microeconomics
; Households and Firms
|
| URL | https://www.nber.org/papers/w16354
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| 来源智库 | National Bureau of Economic Research (United States)
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| 引用统计 |
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| 资源类型 | 智库出版物
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| 条目标识符 | http://119.78.100.153/handle/2XGU8XDN/574029
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推荐引用方式
GB/T 7714 |
John Mullahy. Multivariate Fractional Regression Estimation of Econometric Share Models. 2010.
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文件名：
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w16354.pdf
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格式：
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Adobe PDF
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