淡江大學機構典藏:Item 987654321/101959
English  |  正體中文  |  简体中文  |  全文笔数/总笔数 : 62805/95882 (66%)
造访人次 : 3944452      在线人数 : 679
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library & TKU Library IR team.
搜寻范围 查询小技巧:
  • 您可在西文检索词汇前后加上"双引号",以获取较精准的检索结果
  • 若欲以作者姓名搜寻,建议至进阶搜寻限定作者字段,可获得较完整数据
  • 进阶搜寻


    jsp.display-item.identifier=請使用永久網址來引用或連結此文件: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/101959


    题名: 女性身高對就業的影響 : 以美國健康與營養調查為例
    其它题名: The impact of height on female employment : evidence from National Health and Nutrition Examination Survey
    作者: 林巧倫;Lin, Ciao-Lun
    贡献者: 淡江大學產業經濟學系碩士班
    胡登淵
    关键词: 身高;營養攝取;就業;職業選擇;半無母數模型;兩階段半無母數模型;Height;Nutrition intake;employment;Occupation choice;Seminonparametric Model;Two-stage seminonparametric model with sample selection
    日期: 2014
    上传时间: 2015-05-04 09:44:01 (UTC+8)
    摘要: 身高越高會帶給人專業、具有領導力的觀感。過去文獻多專注在研究身高對於已就業後的報酬之影響,鮮少針對身高對於就業之影響進行分析,而這類文獻大多也較關注男性。有鑒於此,本文在控制營養變數下,特別針對女性身高對就業的影響加以探討,並且進一步觀察身高是否會影響到職業的選擇。
    而有別於過去文獻,本文所使用的模型係假設就業分配較具彈性的半無母數模型(Seminonparametric model)以及兩階段半無母數模型(Two -stage seminonparametric model with sample selection)來進行估計。研究資料取自美國2005-2006與2007-2008年健康及營養調查 (NHANES),因考慮到身高、營養攝取的內生性,本文利用Control function approach 來處理內生的問題,以受訪者5~12歲喝牛奶的頻率所構成的虛擬變數以及Lewbel建議的工具變數為工具變數。
    結果顯示:女性的身高對就業整體而言並不存在顯著的影響,而營養攝取方面卡路里攝取對於就業沒有顯著的影響,蛋白質攝取對於就業則僅在10%顯著水準下呈顯著為負向;在已就業的前提下,本文進一步剖析身高對於進入各型職業的影響,發現身高越高的女性會較容易進入專業白領(身高一次項僅在10%顯著水準下呈顯著為正向,但平方項為負向但不顯著)及其他白領(身高一次項在1%顯著水準下呈顯著為正向,但平方項在5%顯著水準下呈顯著為負向),其邊際效果呈concave,特別是其他白領呈明確concave,表正向效果會隨著身高先上升再趨緩,而身高較矮的女性容易進入藍領職業(身高一次項在1%顯著水準下呈顯著為負向,平方項也在1%顯著水準下呈顯著但為正向),其邊際效果呈convex,表負向效果會隨著身高先加遽再趨緩。以上的結果可能部分肇因於職業是否容易受外表影響。在營養攝取方面,蛋白質攝取越多越容易進入專業白領,表示飲食品質越好對於專業白領是有幫助的,而對於需要體力的藍領,卡路里攝取越多則越有益,然而蛋白質與卡路里皆對進入其他白領無顯著影響。
    Tall people are more likely to be perceived as having professional status and leadership than shorter ones. Most existing studies explore height affecting wage but provide less discussion on the relation between height and employment. Pervious work on the height premium has largely focused on males. This study, hence, examines the impact of height on female employment and occupational choice after controlling for nutrient intakes.
    Unlike previous literature, this study uses models with a flexible distribution assumption. They are seminonparametric model and two-stage seminonparametric model with sample selection respectively. It analyzes female data that come from the 2005-2006 and 2007-2008 National Health and Nutrition Examination Survey (NHANES). To take the potential endogeneity of height and nutrient intakes into account, this paper uses a dummy variable reflecting “ the frequency of drinking milk on 5~12 years old” and the instrumental variables proposed by Lewbel as our instrumental variables. It then uses Control function approach.
    The results indicate height has no significant effect on overall female employment. The calories intakes have no significant effect on female employment either. The estimate of coefficient of protein intakes is negative but is only significant at ten-percent level. Taller women are more likely to enter white-collar professional occupation and white-collar other occupation, while the marginal effects appear to be concave, especially for white-collar other occupation. Shorter women are more likely to enter blue-collar occupation, while the marginal effects appear to be convex. With respect to nutrient intakes, calories intakes raise the possibility of entering blue-collar while protein intakes raise the possibility of entering white-collar professional occupation. These results may reflect that diet quality can enhance productivity in occupation needing intelligence and calories can enhance productivity in occupation needing strength. Neither of the nutrient intakes has significant effect on the possibility of entering white-collar other occupation.
    显示于类别:[產業經濟學系暨研究所] 學位論文

    文件中的档案:

    档案 大小格式浏览次数
    index.html0KbHTML191检视/开启

    在機構典藏中所有的数据项都受到原著作权保护.

    TAIR相关文章

    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library & TKU Library IR teams. Copyright ©   - 回馈