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ICT access in Latin America. evidence from household level

  • Vergara, Sebastián
  • Grazzi, Matteo

The diffusion of Information and Communication Technologies (ICTs) is becoming a central policy issue for developing countries, being identified by international policy-makers and scholars as an important driver of knowledge, innovation and economic growth. We analyze ICT access patterns in seven Latin American countries. In particular, we study the socio-economic determinants of the presence of computers and Internet connection at household level. Descriptive data show that ICT diffusion is concentrated in narrowly defined segments of income and educational groups in each country. Across countries, there is also evidence that the lower is the ICT diffusion, the higher is the inequality of that diffusion. Econometrically, we model the probability that a household has or has not adopted computer technologies and Internet access. The results confirm that variables such as income, education and rural/urban areas are key determinants of ICT diffusion. Additionally, there is evidence of geographical network effects and complementarities between Internet uses at different locations.

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Paper provided by University Library of Munich, Germany in its series MPRA Paper with number 33266.

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Date of creation: 29 Apr 2011
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Handle: RePEc:pra:mprapa:33266
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  1. Michael Demoussis & Nicholas Giannakopoulos, 2006. "Facets of the digital divide in Europe: Determination and extent of internet use," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 15(3), pages 235-246.
  2. Demoussis, Michael & Giannakopoulos, Nicholas, 2006. "The dynamics of home computer ownership in Greece," Information Economics and Policy, Elsevier, vol. 18(1), pages 73-86, March.
  3. Ono, Hiroshi & Zavodny, Madeline, 2002. "Gender and the Internet," SSE/EFI Working Paper Series in Economics and Finance 495, Stockholm School of Economics, revised 19 Aug 2002.
  4. Singh, Vik, 2004. "Factors Associated with Household Internet Use in Canada, 1998-2000," Agriculture and Rural Working Paper Series 28034, Statistics Canada.
  5. Van de Ven, Wynand P. M. M. & Van Praag, Bernard M. S., 1981. "The demand for deductibles in private health insurance : A probit model with sample selection," Journal of Econometrics, Elsevier, vol. 17(2), pages 229-252, November.
  6. Antonelli, Cristiano, 2003. "The digital divide: understanding the economics of new information and communication technology in the global economy," Information Economics and Policy, Elsevier, vol. 15(2), pages 173-199, June.
  7. Shane Greenstein & Jeff Prince, 2006. "The Diffusion of the Internet and the Geography of the Digital Divide in the United States," NBER Working Papers 12182, National Bureau of Economic Research, Inc.
  8. Daniel Piazolo, 2001. "The Digital Divide," CESifo Forum, Ifo Institute for Economic Research at the University of Munich, vol. 2(3), pages 29-34, October.
  9. Puhani, Patrick A, 2000. " The Heckman Correction for Sample Selection and Its Critique," Journal of Economic Surveys, Wiley Blackwell, vol. 14(1), pages 53-68, February.
  10. 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.
  11. Ono, Hiroshi & Zavodny, Madeline, 2007. "Immigrants, English Ability and the Digital Divide," IZA Discussion Papers 3124, Institute for the Study of Labor (IZA).
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