Mobile Phone Network and Migration: Evidence From Myanmar

被引:0
|
作者
Hombrados, Jorge G. [1 ]
Ciacci, Riccardo [2 ]
Zainudeen, Ayesha [3 ]
机构
[1] Univ Autonoma Madrid, Fac Ciencias Econom & Empresariales, Dept Econ Anal, Madrid, Spain
[2] Univ Pontificia Comillas, Dept Econ & Business Management, Madrid, Spain
[3] LIRNEasia, Colombo, Sri Lanka
关键词
mobile phones; migration; labor market outcomes; ECONOMIC-DEVELOPMENT; PERFORMANCE; TECHNOLOGY; TESTS;
D O I
10.1177/01979183211041030
中图分类号
C921 [人口统计学];
学科分类号
摘要
This International Migration Review research note explores the effect of the expansion of mobile phone networks on migration decisions in Myanmar. Building on the work of scholars in economics, the empirical strategy uses variation in lightning frequency across space as an instrumental variable for the expansion of mobile phone networks. Our results suggest that villages with longer exposure to mobile phone networks exhibit reductions in out-migration. Specifically, an increase of one standard deviation in the time exposed to mobile phone networks diminishes the probability that household members migrate by 17 percent. We find empirical evidence suggesting that such findings are driven by the positive effects of mobile phone networks on labor market outcomes and the perceived well-being of individuals.
引用
收藏
页码:594 / 614
页数:21
相关论文
共 50 条
  • [1] Competition in network industries: Evidence from the Rwandan mobile phone network
    Bjorkegren, Daniel
    [J]. RAND JOURNAL OF ECONOMICS, 2022, 53 (01): : 200 - 225
  • [2] Inferring patterns of internal migration from mobile phone call records: evidence from Rwanda
    Blumenstock, Joshua E.
    [J]. INFORMATION TECHNOLOGY FOR DEVELOPMENT, 2012, 18 (02) : 107 - 125
  • [3] Temporary Migration Flow Inference and Analysis From Perspective of Mobile Phone Network Data
    Phithakkitnukoon, Santi
    Hankaew, Soranan
    Demissie, Merkebe Getachew
    Smoreda, Zbigniew
    Ratti, Carlo
    [J]. IEEE ACCESS, 2022, 10 : 23248 - 23258
  • [4] Inferring and Modeling Migration Flows Using Mobile Phone Network Data
    Hankaew, Soranan
    Phithakkitnukoon, Santi
    Demissie, Merkebe Getachew
    Kattan, Lina
    Smoreda, Zbigniew
    Ratti, Carlo
    [J]. IEEE ACCESS, 2019, 7 : 164746 - 164758
  • [5] Mobile phone addiction: Evidence from empirical research
    Kuss, D.
    [J]. EUROPEAN PSYCHIATRY, 2017, 41 : S26 - S27
  • [6] The dynamics of a mobile phone network
    Hidalgo, Cesar A.
    Rodriguez-Sickert, C.
    [J]. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2008, 387 (12) : 3017 - 3024
  • [7] Phone Sharing and Cash Transfers in Togo: Quantitative Evidence from Mobile Phone Data
    Aiken, Emily L.
    Thakur, Viraj
    Blumenstock, Joshua E.
    [J]. PROCEEDINGS OF THE 4TH ACM SIGCAS/SIGCHI CONFERENCE ON COMPUTING AND SUSTAINABLE SOCIETIES, COMPASS'22, 2022, : 214 - 231
  • [8] SERVITIZATION: A CONTENT ANALYSIS AND EVIDENCE FROM MOBILE PHONE INDUSTRY
    Augurio, Alessandro
    Castaldi, Laura
    Turi, Claudio
    [J]. FUTURE OF ENTREPRENEURSHIP, 2014, : 2029 - 2030
  • [9] Mining Mobile Phone Messages in Mobile Social Network
    Cui, Wen
    [J]. ADVANCED MATERIALS AND ENGINEERING MATERIALS, PTS 1 AND 2, 2012, 457-458 : 130 - 133
  • [10] TAIWAN PRIVATIZES MOBILE PHONE NETWORK
    HUANG, C
    [J]. ELECTRONICS-US, 1994, 67 (19): : 13 - 13