• Search Research Projects
  • Search Researchers
  • How to Use
  1. Back to previous page

On the return and job history of ex-international students

Research Project

Project/Area Number 16K17241
Research Category

Grant-in-Aid for Young Scientists (B)

Allocation TypeMulti-year Fund
Research Field Sociology
Research InstitutionShinshu University (2019)
Kwansei Gakuin University (2018)
Rikkyo University (2016-2017)

Principal Investigator

Maeda Yutaka  信州大学, 学術研究院人文科学系, 助教 (50637303)

Project Period (FY) 2016-04-01 – 2020-03-31
Project Status Completed (Fiscal Year 2019)
Budget Amount *help
¥2,860,000 (Direct Cost: ¥2,200,000、Indirect Cost: ¥660,000)
Fiscal Year 2018: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
Fiscal Year 2017: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2016: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000)
Keywords帰国 / 留学生 / 選択バイアス / ネットワーク / 社会学 / 労働市場
Outline of Final Research Achievements

The purpose of this study is to consider a methodology for explaining the factors that influence the return of ex-international students. Specifically, assuming the use of survey data of ex-international students in Japan, this study conducts a comparative study of two estimation methods (SC estimation and TLR estimation) based on pseudo-likelihood, and attempts to propose and examine a new estimation that extends TLR estimation from a perspective of respondent’s network based sampling. As a result, this study shows that the sample size and whether the shares of the values of the dependent variables are known can be the criteria for the selection of SC estimation and TLR estimation. In addition, this study shows that the estimation method that extends the TLR estimation is robust to the structure of the respondent network, and clarifies that this estimation method can be applied to network based sampling method.

Academic Significance and Societal Importance of the Research Achievements

本研究の学術的意義としては,既存の従属変数の値による抽出データに対応した推定方法の議論と,回答者ネットワークを通じた抽出方法の議論を接合する新たな推定方法の提唱により,双方の領域での発展に寄与した点を挙げることができる.また,本研究の関心であった元留学生のみならず,無作為抽出での捕捉が難しい,いわゆる隠れた母集団への適用が可能となっており,広範な社会現象に適切に対応する推定方法を提唱したという点においても,学術的・社会的意義が認められる.

Report

(5 results)
  • 2019 Annual Research Report   Final Research Report ( PDF )
  • 2018 Research-status Report
  • 2017 Research-status Report
  • 2016 Research-status Report
  • Research Products

    (4 results)

All 2019 2018 2017

All Journal Article (2 results) (of which Peer Reviewed: 1 results,  Acknowledgement Compliant: 1 results) Presentation (2 results) (of which Invited: 1 results)

  • [Journal Article] Synthetic Control Method を用いた個別事例の因果効果の識別2019

    • Author(s)
      前田豊・鎌田拓馬
    • Journal Title

      理論と方法

      Volume: ―

    • NAID

      130007864318

    • Related Report
      2018 Research-status Report
  • [Journal Article] ポジティブ・アクションによる不満―相対的剥奪理論を拡張したモデルによる考察から2017

    • Author(s)
      多田はるみ・前田豊
    • Journal Title

      立教大学ジェンダーフォーラム年報

      Volume: 18 Pages: 27-41

    • NAID

      120006315755

    • Related Report
      2016 Research-status Report
    • Peer Reviewed / Acknowledgement Compliant
  • [Presentation] Who became Sex worker? The case of Japan in Post-war Period2018

    • Author(s)
      Yutaka Maeda
    • Organizer
      1st Korea-Japan Joint Workshop on Frontiers of Social Survey Research
    • Related Report
      2017 Research-status Report
    • Invited
  • [Presentation] 「隠れた人口」に対応する推定方法について2017

    • Author(s)
      前田豊・朝岡誠
    • Organizer
      第64回大会数理社会学会大会
    • Related Report
      2017 Research-status Report

URL: 

Published: 2016-04-21   Modified: 2021-02-19  

Information User Guide FAQ News Terms of Use Attribution of KAKENHI

Powered by NII kakenhi