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Volumn 341, Issue 6144, 2013, Pages

The diffusion of microfinance

Author keywords

[No Author keywords available]

Indexed keywords

MICROFINANCE; SOCIAL NETWORK; SOCIAL PARTICIPATION; VILLAGE;

EID: 84880712969     PISSN: 00368075     EISSN: 10959203     Source Type: Journal    
DOI: 10.1126/science.1236498     Document Type: Article
Times cited : (1038)

References (30)
  • 1
    • 78149283685 scopus 로고    scopus 로고
    • Identification of influential spreaders in complex networks
    • doi: 10.1038/nphys1746
    • M. Kitsak et al., Identification of influential spreaders in complex networks. Nat. Phys. 6, 888-893 (2010). doi: 10.1038/nphys1746
    • (2010) Nat. Phys. , vol.6 , pp. 888-893
    • Kitsak, M.1
  • 2
    • 33748510758 scopus 로고    scopus 로고
    • Who's who in networks. Wanted: The key player
    • doi: 10.1111/j.1468-0262.2006.00709.x
    • C. Ballester, A. Calv'o-Armengol, Y. Zenou, Who's who in networks. Wanted: The key player. Econometrica 74, 1403-1417 (2006). doi: 10.1111/j.1468-0262.2006.00709.x
    • (2006) Econometrica , vol.74 , pp. 1403-1417
    • Ballester, C.1    Calv'o-Armengol, A.2    Zenou, Y.3
  • 3
    • 84880731267 scopus 로고    scopus 로고
    • note
    • There is an old and large literature that studies information diffusion (17-25). However, empirical evidence on the role of injection points is still sparse.
  • 4
    • 84880762833 scopus 로고    scopus 로고
    • note
    • For experimental approaches to controlling for and analyzing the role of homophily in diffusion, see (26, 27).
  • 5
    • 84880728440 scopus 로고    scopus 로고
    • note
    • Individuals were allowed to name as many as five to eight network neighbors, depending on the category. The data exhibit almost no top-coding; fewer than 10% of the respondents named the maximum number of individuals in any single category.
  • 6
    • 84880756121 scopus 로고    scopus 로고
    • note
    • The main difference is the number of households: Villages that BSS entered had 223.2 households on average (SD = 56.17); those it did not enter had 165.8 households on average (SD = 48.95).
  • 7
    • 84880763127 scopus 로고    scopus 로고
    • note
    • One could imagine that households need some time to think, or to process information from their neighbors, before adoption (21, 28). However, in our setting, one period (4 months) encompasses much of this decision time. It may be that in the long run (over a period of years) they would reconsider their decisions, which our model does not address, and so we do not capture long-run reactions to neighbors' experiences. For instance, it could be that there are coordination problems as people wait for others to participate before participating themselves. This seems unrealistic in our context: It takes about 1 to 2 years to learn how neighbors did with microfinance (whether they managed to repay, whether they benefited, etc.). Our data show that most of the adoption of microfinance takes place within the first year in a village (before the first cycle of loans is complete).
  • 8
    • 0000998185 scopus 로고
    • A contribution to the mathematical theory of epidemics
    • doi: 10.1098/rspa.1927.0118
    • W. Kermack, A. McKendrick, A contribution to the mathematical theory of epidemics. Proc. R. Soc. London Ser. A 115, 700-721 (1927). doi: 10.1098/rspa.1927.0118
    • (1927) Proc. R. Soc. London Ser. A , vol.115 , pp. 700-721
    • Kermack, W.1    McKendrick, A.2
  • 10
    • 84866156151 scopus 로고    scopus 로고
    • Social science: Poked to vote
    • doi: 10.1038/489212a; pmid: 22972291
    • S. Aral, Social science: Poked to vote. Nature 489, 212-214 (2012). doi: 10.1038/489212a; pmid: 22972291
    • (2012) Nature , vol.489 , pp. 212-214
    • Aral, S.1
  • 11
    • 76049088642 scopus 로고    scopus 로고
    • Distinguishing influence-based contagion from homophily-driven diffusion in dynamic networks
    • doi: 10.1073/pnas.0908800106; pmid: 20007780
    • S. Aral, L. Muchnik, A. Sundararajan, Distinguishing influence-based contagion from homophily-driven diffusion in dynamic networks. Proc. Natl. Acad. Sci. U.S.A. 106, 21544-21549 (2009). doi: 10.1073/pnas.0908800106; pmid: 20007780
    • (2009) Proc. Natl. Acad. Sci. U.S.A. , vol.106 , pp. 21544-21549
    • Aral, S.1    Muchnik, L.2    Sundararajan, A.3
  • 12
    • 0000883977 scopus 로고
    • A method of simulated moments for estimation of discrete response models without numerical integration
    • doi: 10.2307/1913621
    • D. McFadden, A method of simulated moments for estimation of discrete response models without numerical integration. Econometrica 57, 995-1026 (1989). doi: 10.2307/1913621
    • (1989) Econometrica , vol.57 , pp. 995-1026
    • McFadden, D.1
  • 13
    • 84880720320 scopus 로고    scopus 로고
    • note
    • For an example of a method of simulated moments approach used in a spatial setting, see (29).
  • 14
    • 84880718702 scopus 로고    scopus 로고
    • note
    • For example, 1000 runs of a simulated annealing search would be prohibitively slow.
  • 15
    • 84880717125 scopus 로고    scopus 로고
    • note
    • The results are essentially identical without controls.
  • 16
    • 84880705890 scopus 로고    scopus 로고
    • note
    • For background on centrality definitions, see (30).
  • 17
    • 0003159590 scopus 로고
    • The diffusion of hybrid seed corn in two Iowa communities
    • B. Ryan, N. C. Gross, The diffusion of hybrid seed corn in two Iowa communities. Rural Sociol. 8, 15 (1943).
    • (1943) Rural Sociol. , vol.8 , pp. 15
    • Ryan, B.1    Gross, N.C.2
  • 21
    • 0029475837 scopus 로고
    • Learning by doing and learning from others: Human capital and technical change in agriculture
    • doi: 10.1086/601447
    • A. Foster, M. Rosenzweig, Learning by doing and learning from others: Human capital and technical change in agriculture. J. Polit. Econ. 103, 1176-1209 (1995). doi: 10.1086/601447
    • (1995) J. Polit. Econ. , vol.103 , pp. 1176-1209
    • Foster, A.1    Rosenzweig, M.2
  • 22
    • 77952380684 scopus 로고    scopus 로고
    • Learning about a new technology: Pineapple in Ghana
    • doi: 10.1257/aer.100.1.35
    • T. Conley, C. Udry, Learning about a new technology: Pineapple in Ghana. Am. Econ. Rev. 100, 35-69 (2010). doi: 10.1257/aer.100.1.35
    • (2010) Am. Econ. Rev. , vol.100 , pp. 35-69
    • Conley, T.1    Udry, C.2
  • 23
    • 34547699296 scopus 로고    scopus 로고
    • The illusion of sustainability
    • doi: 10.1162/qjec.122.3.1007
    • M. Kremer, E. Miguel, The illusion of sustainability. Q. J. Econ. 122, 1007-1065 (2007). doi: 10.1162/qjec.122.3.1007
    • (2007) Q. J. Econ. , vol.122 , pp. 1007-1065
    • Kremer, M.1    Miguel, E.2
  • 24
    • 84877667249 scopus 로고    scopus 로고
    • J. Benhabib, A. Bisin, M. Jackson, Eds. North Holland, Amsterdam
    • M. O. Jackson, L. Yariv, in Handbook of Social Economics, J. Benhabib, A. Bisin, M. Jackson, Eds. (North Holland, Amsterdam, 2010).
    • (2010) Handbook of Social Economics
    • Jackson, M.O.1    Yariv, L.2
  • 25
    • 84866177569 scopus 로고    scopus 로고
    • A 61-million-person experiment in social influence and political mobilization
    • doi: 10.1038/nature11421; pmid: 22972300
    • R. M. Bond et al., A 61-million-person experiment in social influence and political mobilization. Nature 489, 295-298 (2012). doi: 10.1038/nature11421; pmid: 22972300
    • (2012) Nature , vol.489 , pp. 295-298
    • Bond, R.M.1
  • 26
    • 77956296152 scopus 로고    scopus 로고
    • The spread of behavior in an online social network experiment
    • doi: 10.1126/science.1185231; pmid: 20813952
    • D. Centola, The spread of behavior in an online social network experiment. Science 329, 1194-1197 (2010). doi: 10.1126/science.1185231; pmid: 20813952
    • (2010) Science , vol.329 , pp. 1194-1197
    • Centola, D.1
  • 27
    • 84863993298 scopus 로고    scopus 로고
    • Identifying influential and susceptible members of social networks
    • doi: 10.1126/science.1215842; pmid: 22722253
    • S. Aral, D. Walker, Identifying influential and susceptible members of social networks. Science 337, 337-341 (2012). doi: 10.1126/science.1215842; pmid: 22722253
    • (2012) Science , vol.337 , pp. 337-341
    • Aral, S.1    Walker, D.2
  • 28
    • 0001255098 scopus 로고    scopus 로고
    • Learning by doing and the choice of technology
    • doi: 10.2307/2171832
    • B. Jovanovic, Y. Nyarko, Learning by doing and the choice of technology. Econometrica 64, 1299 (1996). doi: 10.2307/2171832
    • (1996) Econometrica , vol.64 , pp. 1299
    • Jovanovic, B.1    Nyarko, Y.2
  • 29
    • 0034992027 scopus 로고    scopus 로고
    • Social interactions, local spillovers and unemployment
    • doi: 10.1111/1467-937X.00169
    • G. Topa, Social interactions, local spillovers and unemployment. Rev. Econ. Stud. 68, 261 -295 (2001). doi: 10.1111/1467-937X.00169
    • (2001) Rev. Econ. Stud. , vol.68 , pp. 261-295
    • Topa, G.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.