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  • 标题:A Semiparametric Approach to Estimate Engel curves using the US Micro Data
  • 本地全文:下载
  • 作者:Zapata, Hector O. ; Sulgham, Anil K.
  • 期刊名称:Journal of Food Distribution Research
  • 印刷版ISSN:0047-245X
  • 出版年度:2006
  • 卷号:37
  • 期号:SUPPL
  • 出版社:Food Distribution Research Society
  • 摘要:The study estimates Engel curves using cross-section data from the 2003 US consumer expenditure survey (CES). We focus on finding adequate specification for modeling the demographic characteristics using parametric, nonparametric, and semiparametric techniques. The empirical results indicate parametric Working-Leser or Piglog specification was sufficient for most budget shares except for transportation where semiparametric specification had support.
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