陳虹如教授Chen, Professor Hung-Ju臺灣大學:經濟學研究所金大偉Jinkins, David CarsonDavid CarsonJinkins2010-05-052018-06-282010-05-052018-06-282009U0001-2906200920291300http://ntur.lib.ntu.edu.tw//handle/246246/179560有關移民與社會成本的過往文獻對於雙邊移民的了解不夠深刻。本文之貢獻於用風險趨避與不完全信息建構一個同時具有雙邊移民與重返移民的模型。此模型的基本概念係社會網絡和信息的關係。社會網絡越大，討厭風險的個人對異國薪水的信息越完整。較完整的信息助於降低風險，讓個人更有可能選擇移民。本模型以個人對異國薪水猜測的分配和信心調整風險。在數字分析内本模型每期都具有雙邊移民和重返移民。The literature on social capital and migration has not given adequate attention to two-way migration. This paper shows that by using the concepts of incomplete information and risk aversion to model social capital, we can get both two-way and return migration. The basic idea behind the model is that as networks grow, risk-averse individuals have better information about foreign wages. Better information mitigates risk, which makes individuals more likely to migrate. Risk is modeled by adjusting the distribution and confidence individuals have in their guesses about foreign wages. In a numerical analysis the model exhibits both two-way and return migration in every period.Signed Thesis Committee Approval 1orward 2要 3bstract 4able of Contents 5ist of Tables 6ist of Figures 6hesis body 7. Introduction 8. Literature Review 11. Model 13roposition 1 14roposition 2 15roposition 3 15.1 Migration Dynamics with Homogenous Risk Aversion 16.2 Equilibrium and Heterogeneous Risk Aversion 17. Quantitative Results 18.1 Homogenous Risk Aversion 18roposition 4 19.2 Heterogeneous Risk Aversion 20. Discussion 21.1 Comparison with the Carrington Model 21.2 Comparison with Real World Data 22. Conclusion 22ibliography 24ppendix 27application/pdf1285255 bytesapplication/pdfen-US移民社會網絡風險趨避重返移民雙邊移民migrationsocial networkrisk aversionsocial capitalreturn migrationtwo-way migrationthesishttp://ntur.lib.ntu.edu.tw/bitstream/246246/179560/1/ntu-98-R96323048-1.pdf