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Specification uncertainty in modeling internet adoption: A developing city case analysis

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  • Ramírez-Hassan, Andrés
  • Carvajal-Rendón, Daniela A.

Abstract

Internet adoption fosters economic growth and development. Specifying policy control drivers is particularly relevant for developing countries. However, there is no consensus on the most relevant variables. We explored 33.6 million potential models to identify the most important determinants of household internet adoption using stochastic search variable selection and socioeconomic data from Medellín, Colombia. We found that monthly income, the head of household education and voting, and having a computer and cable television at home are the most relevant variables.

Suggested Citation

  • Ramírez-Hassan, Andrés & Carvajal-Rendón, Daniela A., 2021. "Specification uncertainty in modeling internet adoption: A developing city case analysis," Utilities Policy, Elsevier, vol. 70(C).
    • Handle: RePEc:eee:juipol:v:70:y:2021:i:c:s0957178721000527
    DOI: 10.1016/j.jup.2021.101218
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    References listed on IDEAS

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    1. Héctor Alberto Botello Penaloza, 2015. "Determinantes del acceso al crédito de las PYMES en Colombia," Ensayos de Economía 14148, Universidad Nacional de Colombia Sede Medellín.
    2. Carmen Fernandez & Eduardo Ley & Mark F. J. Steel, 2001. "Model uncertainty in cross-country growth regressions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 16(5), pages 563-576.
    3. Raftery A.E. & Zheng Y., 2003. "Discussion: Performance of Bayesian Model Averaging," Journal of the American Statistical Association, American Statistical Association, vol. 98, pages 931-938, January.
    4. Singh, Vik, 2004. "Factors Associated with Household Internet Use in Canada, 1998-2000," Agriculture and Rural Working Paper Series 28034, Statistics Canada.
    5. Veronika Ročková & Edward George, 2014. "Negotiating multicollinearity with spike-and-slab priors," METRON, Springer;Sapienza Università di Roma, vol. 72(2), pages 217-229, August.
    6. Penard, Thierry & Poussing, Nicolas & Mukoko, Blaise & Tamokwe Piaptie, Georges Bertrand, 2015. "Internet adoption and usage patterns in Africa: Evidence from Cameroon," Technology in Society, Elsevier, vol. 42(C), pages 71-80.
    7. Brian Whitacre, 2008. "Factors influencing the temporal diffusion of broadband adoption: evidence from Oklahoma," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 42(3), pages 661-679, September.
    8. Robertson, Alastair & Soopramanien, Didier & Fildes, Robert, 2007. "A segment-based analysis of Internet service adoption among UK households," Technology in Society, Elsevier, vol. 29(3), pages 339-350.
    9. Choi, Changkyu & Hoon Yi, Myung, 2009. "The effect of the Internet on economic growth: Evidence from cross-country panel data," Economics Letters, Elsevier, vol. 105(1), pages 39-41, October.
    10. Mark F. J. Steel, 2020. "Model Averaging and Its Use in Economics," Journal of Economic Literature, American Economic Association, vol. 58(3), pages 644-719, September.
    11. Botello Penaloza, Hector Alberto, 2015. "Determinantes del acceso al crédito: Evidencia a nivel de la firma en Bolivia," Perfil de Coyuntura Económica, Universidad de Antioquia, CIE, issue 25, pages 111-124, May.
    12. Michael Jetter & Andrés Ramírez Hassan, 2015. "Want Export Diversification? Educate The Kids First," Economic Inquiry, Western Economic Association International, vol. 53(4), pages 1765-1782, October.
    13. Theo S. Eicher & Christian Henn & Chris Papageorgiou, 2012. "Trade creation and diversion revisited: Accounting for model uncertainty and natural trading partner effects," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 27(2), pages 296-321, March.
    14. Hansen, Bruce E., 2005. "Challenges For Econometric Model Selection," Econometric Theory, Cambridge University Press, vol. 21(1), pages 60-68, February.
    15. Birba, Ousmane & Diagne, Abdoulaye, 2012. "Determinants of adoption of Internet in Africa: Case of 17 sub-Saharan countries," Structural Change and Economic Dynamics, Elsevier, vol. 23(4), pages 463-472.
    16. Goldfarb, Avi & Prince, Jeff, 2008. "Internet adoption and usage patterns are different: Implications for the digital divide," Information Economics and Policy, Elsevier, vol. 20(1), pages 2-15, March.
    17. Xavier Sala-I-Martin & Gernot Doppelhofer & Ronald I. Miller, 2004. "Determinants of Long-Term Growth: A Bayesian Averaging of Classical Estimates (BACE) Approach," American Economic Review, American Economic Association, vol. 94(4), pages 813-835, September.
    18. Tyler H. McCormick & Adrian E. Raftery & David Madigan & Randall S. Burd, 2012. "Dynamic Logistic Regression and Dynamic Model Averaging for Binary Classification," Biometrics, The International Biometric Society, vol. 68(1), pages 23-30, March.
    19. Rice, Ronald E. & Katz, James E., 0. "Comparing internet and mobile phone usage: digital divides of usage, adoption, and dropouts," Telecommunications Policy, Elsevier, vol. 27(8-9), pages 597-623, September.
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