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Women, Rails and Telegraphs: An Empirical Study of Information Diffusion and Collective Action

Author

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  • Camilo García-Jimeno
  • Angel Iglesias
  • Pinar Yildirim

Abstract

How do social interactions shape collective action, and how are they mediated by the availability of networked information technologies? To answer these questions, we study the Temperance Crusade, one of the earliest instances of organized political mobilization by women in the U.S. This wave of protest activity against liquor dealers spread between the winter of 1873 and the summer of 1874, covering more than 800 towns in 29 states. We first provide causal evidence of social interactions driving the diffusion of the protest wave, and estimate the roles played by information traveling along railroad and telegraph networks. We do this by relying on exogenous variation in the rail network links generated by railroad worker strikes and railroad accidents. We also develop an event-study methodology to estimate the complementarity between rail and telegraph networks in driving the spread of the Crusade. We find that railroad and telegraph-mediated information about neighboring protest activity were main drivers of the diffusion of the protest movement. We also find strong complementarities between both networks. Using variation in the types of protest activities of neighboring towns and in the aggregate patterns of the diffusion process, we also find suggestive evidence of social learning as a key mechanism behind the effect of information on protest adoption.

Suggested Citation

  • Camilo García-Jimeno & Angel Iglesias & Pinar Yildirim, 2018. "Women, Rails and Telegraphs: An Empirical Study of Information Diffusion and Collective Action," NBER Working Papers 24495, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:24495
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    1. Michael Kremer & Edward Miguel, 2007. "The Illusion of Sustainability," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 122(3), pages 1007-1065.
    2. Dave Donaldson & Richard Hornbeck, 2016. "Railroads and American Economic Growth: A "Market Access" Approach," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 131(2), pages 799-858.
    3. Toke Aidt & Gabriel Leon & Max Satchell, 2017. "The Social Dynamics of Collective Action: Evidence from the Captain Swing Riots, 1830-31," CESifo Working Paper Series 6773, CESifo.
    4. Brian Knight & Nathan Schiff, 2010. "Momentum and Social Learning in Presidential Primaries," Journal of Political Economy, University of Chicago Press, vol. 118(6), pages 1110-1150.
    5. Foster, Andrew D & Rosenzweig, Mark R, 1995. "Learning by Doing and Learning from Others: Human Capital and Technical Change in Agriculture," Journal of Political Economy, University of Chicago Press, vol. 103(6), pages 1176-1209, December.
    6. Camilo García‐Jimeno, 2016. "The Political Economy of Moral Conflict: An Empirical Study of Learning and Law Enforcement Under Prohibition," Econometrica, Econometric Society, vol. 84, pages 511-570, March.
    7. Szeidl, Adam & Mobius, Markus & Phan, Tuan, 2015. "Treasure Hunt: Social Learning in the Field," CEPR Discussion Papers 10493, C.E.P.R. Discussion Papers.
    8. Daron Acemoglu & Camilo García-Jimeno & James A. Robinson, 2015. "State Capacity and Economic Development: A Network Approach," American Economic Review, American Economic Association, vol. 105(8), pages 2364-2409, August.
    9. Pierskalla, Jan H. & Hollenbach, Florian M., 2013. "Technology and Collective Action: The Effect of Cell Phone Coverage on Political Violence in Africa," American Political Science Review, Cambridge University Press, vol. 107(2), pages 207-224, May.
    10. Emily Oster & Rebecca Thornton, 2012. "Determinants Of Technology Adoption: Peer Effects In Menstrual Cup Take-Up," Journal of the European Economic Association, European Economic Association, vol. 10(6), pages 1263-1293, December.
    11. Esther Duflo & Emmanuel Saez, 2003. "The Role of Information and Social Interactions in Retirement Plan Decisions: Evidence from a Randomized Experiment," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 118(3), pages 815-842.
    12. Daron Acemoglu & Munther A. Dahleh & Ilan Lobel & Asuman Ozdaglar, 2011. "Bayesian Learning in Social Networks," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 78(4), pages 1201-1236.
    13. Bikhchandani, Sushil & Hirshleifer, David & Welch, Ivo, 1992. "A Theory of Fads, Fashion, Custom, and Cultural Change in Informational Cascades," Journal of Political Economy, University of Chicago Press, vol. 100(5), pages 992-1026, October.
    14. Francesco Passarelli & Guido Tabellini, 2017. "Emotions and Political Unrest," Journal of Political Economy, University of Chicago Press, vol. 125(3), pages 903-946.
    15. Halberstam, Yosh & Knight, Brian, 2016. "Homophily, group size, and the diffusion of political information in social networks: Evidence from Twitter," Journal of Public Economics, Elsevier, vol. 143(C), pages 73-88.
    16. Charles F. Manski, 1993. "Identification of Endogenous Social Effects: The Reflection Problem," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 60(3), pages 531-542.
    17. Ruben Enikolopov & Alexey Makarin & Maria Petrova, 2020. "Social Media and Protest Participation: Evidence From Russia," Econometrica, Econometric Society, vol. 88(4), pages 1479-1514, July.
    18. Andrews, Donald W. K. & Lu, Biao, 2001. "Consistent model and moment selection procedures for GMM estimation with application to dynamic panel data models," Journal of Econometrics, Elsevier, vol. 101(1), pages 123-164, March.
    19. Mary A. Burke & Gary M. Fournier & Kislaya Prasad, 2007. "The Diffusion of a Medical Innovation: Is Success in the Stars?," Southern Economic Journal, John Wiley & Sons, vol. 73(3), pages 588-603, January.
    20. Cormac O Grada & Morgan Kelly, 2000. "Market Contagion: Evidence from the Panics of 1854 and 1857," American Economic Review, American Economic Association, vol. 90(5), pages 1110-1124, December.
    21. Timothy G. Conley & Christopher R. Udry, 2010. "Learning about a New Technology: Pineapple in Ghana," American Economic Review, American Economic Association, vol. 100(1), pages 35-69, March.
    22. Atack, Jeremy, 2013. "On the Use of Geographic Information Systems in Economic History: The American Transportation Revolution Revisited," The Journal of Economic History, Cambridge University Press, vol. 73(2), pages 313-338, June.
    23. Daron Acemoglu & Tarek A. Hassan & Ahmed Tahoun, 2018. "The Power of the Street: Evidence from Egypt’s Arab Spring," The Review of Financial Studies, Society for Financial Studies, vol. 31(1), pages 1-42.
    24. Munshi, Kaivan & Myaux, Jacques, 2006. "Social norms and the fertility transition," Journal of Development Economics, Elsevier, vol. 80(1), pages 1-38, June.
    25. David Yanagizawa-Drott, 2014. "Propaganda and Conflict: Evidence from the Rwandan Genocide," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 129(4), pages 1947-1994.
    26. Ellison, Glenn & Fudenberg, Drew, 1993. "Rules of Thumb for Social Learning," Journal of Political Economy, University of Chicago Press, vol. 101(4), pages 612-643, August.
    27. Andreas Madestam & Daniel Shoag & Stan Veuger & David Yanagizawa-Drott, 2013. "Do Political Protests Matter? Evidence from the Tea Party Movement," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 128(4), pages 1633-1685.
    28. Enrico Moretti, 2011. "Social Learning and Peer Effects in Consumption: Evidence from Movie Sales," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 78(1), pages 356-393.
    29. Elchanan Mossel & Allan Sly & Omer Tamuz, 2015. "Strategic Learning and the Topology of Social Networks," Econometrica, Econometric Society, vol. 83(5), pages 1755-1794, September.
    30. H. Peyton Young, 2009. "Innovation Diffusion in Heterogeneous Populations: Contagion, Social Influence, and Social Learning," American Economic Review, American Economic Association, vol. 99(5), pages 1899-1924, December.
    31. Abhijit V. Banerjee, 1992. "A Simple Model of Herd Behavior," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 107(3), pages 797-817.
    32. Sonin, Konstantin & Dagaev, Dmitry & Lamberova, Natalia & Sobolev, Anton, 2013. "Technological Foundations of Political Instability," CEPR Discussion Papers 9787, C.E.P.R. Discussion Papers.
    33. Davide Cantoni & David Y. Yang & Noam Yuchtman & Y. Jane Zhang, 2017. "Are Protests Games of Strategic Complements or Substitutes? Experimental Evidence from Hong Kong's Democracy Movement," NBER Working Papers 23110, National Bureau of Economic Research, Inc.
    34. Conley, T. G., 1999. "GMM estimation with cross sectional dependence," Journal of Econometrics, Elsevier, vol. 92(1), pages 1-45, September.
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    2. Eric Melander, 2020. "Transportation Technology, Individual Mobility and Social Mobilisation," CAGE Online Working Paper Series 471, Competitive Advantage in the Global Economy (CAGE).

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    More about this item

    JEL classification:

    • D71 - Microeconomics - - Analysis of Collective Decision-Making - - - Social Choice; Clubs; Committees; Associations
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • N11 - Economic History - - Macroeconomics and Monetary Economics; Industrial Structure; Growth; Fluctuations - - - U.S.; Canada: Pre-1913
    • N31 - Economic History - - Labor and Consumers, Demography, Education, Health, Welfare, Income, Wealth, Religion, and Philanthropy - - - U.S.; Canada: Pre-1913
    • N71 - Economic History - - Economic History: Transport, International and Domestic Trade, Energy, and Other Services - - - U.S.; Canada: Pre-1913
    • O18 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Urban, Rural, Regional, and Transportation Analysis; Housing; Infrastructure
    • Z12 - Other Special Topics - - Cultural Economics - - - Religion

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