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  • 标题:A Comparison of Alternative Estimators of Linearly Aggregated Macro Models
  • 本地全文:下载
  • 作者:Fikri Akdeniz ; Hans Joachim Werner
  • 期刊名称:Pakistan Journal of Statistics and Operation Research
  • 印刷版ISSN:2220-5810
  • 出版年度:2012
  • 卷号:8
  • 期号:3
  • 页码:557-571
  • DOI:10.1234/pjsor.v8i3.527
  • 语种:English
  • 出版社:College of Statistical and Actuarial Sciences
  • 摘要:Normal 0 false false false TR X-NONE X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin:0in; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Times New Roman","serif"; mso-ansi-language:TR; mso-fareast-language:TR;} This paper deals with the linear aggregation problem. For the true underlying micro relations, which explain the micro behavior of the individuals, no restrictive rank conditions are assumed. Thus the analysis is presented in a framework utilizing generalized inverses of singular matrices. We investigate several estimators for certain linear transformations of the systematic part of the corresponding macro relations. Homogeneity of micro parameters is discussed. Best linear unbiased estimation for micro parameters is described.
  • 关键词:Aggregation bias, Best linear unbiased estimator, Linear aggregation, Macro parameter, Micro parameter, Specification error.
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