IDEAS home Printed from https://ideas.repec.org/a/gam/jecomi/v5y2017i3p35-d112390.html
   My bibliography  Save this article

The Effect of Access to Information and Communication Technology on Household Labor Income: Evidence from One Laptop Per Child in Uruguay

Author

Listed:
  • Joaquin Marandino

    (Universidad Torcuato Di Tella, Av. Figueroa Alcorta 7350 (C1428BCW), Buenos Aires 1428 Argentina)

  • Phanindra V. Wunnava

    (Department of Economics, Middebury College and IZA, Middlebury, VT 05753, USA)

Abstract

This paper examines the effect of the One Laptop Per Child program in Uruguay ( Plan Ceibal ) on household labor income. Since 2007, the Uruguayan government has delivered one laptop to every child and teacher in public primary schools. This program has considerably increased access to information technology within households, as evidenced by parents’ utilization of said technology. Households in the department of Florida received laptops in 2007, while those in the department of Canelones received them in 2009. Therefore, using data from Household Surveys from the National Institute of Statistics in Uruguay, a difference-in-difference model is estimated to capture the effect of the plan of giving laptops on labor income. The results indicate that there is a statistically significant positive effect of the plan on household labor income for households below median income, specifically, those at the 10th and 20th quantiles. Such findings suggest that the program has greater potential when targeted to low-income households, where parents possess lower computer skills.

Suggested Citation

  • Joaquin Marandino & Phanindra V. Wunnava, 2017. "The Effect of Access to Information and Communication Technology on Household Labor Income: Evidence from One Laptop Per Child in Uruguay," Economies, MDPI, vol. 5(3), pages 1-10, September.
  • Handle: RePEc:gam:jecomi:v:5:y:2017:i:3:p:35-:d:112390
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7099/5/3/35/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2227-7099/5/3/35/
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Mark Doms & Timothy Dunne & Kenneth R. Troske, 1997. "Workers, Wages, and Technology," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 112(1), pages 253-290.
    2. de Melo Gioia & Machado Alina & Miranda Alfonso, 2014. "The Impact of a One Laptop per Child Program on Learning: Evidence from Uruguay," Working Papers 2014-22, Banco de México.
    3. José Miguel Benavente & David Bravo & Rodrigo Montero, 2011. "Wages And Workplace Computer Use In Chile," The Developing Economies, Institute of Developing Economies, vol. 49(4), pages 382-403, December.
    4. Entorf, Horst & Kramarz, Francis, 1997. "Does unmeasured ability explain the higher wages of new technology workers?," European Economic Review, Elsevier, vol. 41(8), pages 1489-1509, August.
    5. Alan B. Krueger, 1993. "How Computers Have Changed the Wage Structure: Evidence from Microdata, 1984–1989," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 108(1), pages 33-60.
    6. Editorial Article, 0. "The Information for Authors," Economics of Contemporary Russia, Regional Public Organization for Assistance to the Development of Institutions of the Department of Economics of the Russian Academy of Sciences, issue 2.
    7. John E. DiNardo & Jörn-Steffen Pischke, 1997. "The Returns to Computer Use Revisited: Have Pencils Changed the Wage Structure Too?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 112(1), pages 291-303.
    8. Lex Borghans & Bas ter Weel, 2006. "Do We Need Computer Skills to Use a Computer? Evidence from Britain," LABOUR, CEIS, vol. 20(3), pages 505-532, September.
    9. Shah Danyal & Pankaj Maskara & Annaheeta Naqvi, 2011. "Impact of computer skills on wages in USA," Applied Economics Letters, Taylor & Francis Journals, vol. 18(11), pages 1077-1081.
    10. Editorial Article, 0. "The Information for Authors," Economics of Contemporary Russia, Regional Public Organization for Assistance to the Development of Institutions of the Department of Economics of the Russian Academy of Sciences, issue 4.
    11. Sabrina Wulff Pabilonia & Cindy Zoghi, 2005. "Returning to the Returns to Computer Use," American Economic Review, American Economic Association, vol. 95(2), pages 314-317, May.
    12. Editorial Article, 0. "The Information for Authors," Economics of Contemporary Russia, Regional Public Organization for Assistance to the Development of Institutions of the Department of Economics of the Russian Academy of Sciences, issue 3.
    13. de New, John & Schmidt, Christoph M., 1999. "Money for Nothing and Your Chips for Free? The Anatomy of the PC Wage Differential," IZA Discussion Papers 86, Institute of Labor Economics (IZA).
    14. Editorial Article, 0. "The Information for Authors," Economics of Contemporary Russia, Regional Public Organization for Assistance to the Development of Institutions of the Department of Economics of the Russian Academy of Sciences, issue 1.
    15. Gary S. Becker, 1962. "Investment in Human Capital: A Theoretical Analysis," NBER Chapters, in: Investment in Human Beings, pages 9-49, National Bureau of Economic Research, Inc.
    16. Sabrina Wulff Pabilonia & Cindy Zoghi, 2005. "Returning to the Returns to Computer Use," American Economic Review, American Economic Association, vol. 95(2), pages 314-317, May.
    17. Editorial Article, 0. "The Information for Authors," Economics of Contemporary Russia, Regional Public Organization for Assistance to the Development of Institutions of the Department of Economics of the Russian Academy of Sciences, issue 4.
    18. G.R. Arabsheibani & J.M. Emami & A. Marin, 2004. "The Impact of Computer Use On Earnings in the UK," Scottish Journal of Political Economy, Scottish Economic Society, vol. 51(1), pages 82-94, February.
    19. Ernest P. Goss & Joseph M. Phillips, 2002. "How Information Technology Affects Wages: Evidence Using Internet Usage As a Proxy for IT Skills," Journal of Labor Research, Transaction Publishers, vol. 23(3), pages 463-474, July.
    20. Jeff Borland & Joseph Hirschberg & Jenny Lye, 2004. "Computer knowledge and earnings: evidence for Australia," Applied Economics, Taylor & Francis Journals, vol. 36(17), pages 1979-1993.
    21. Lee, Sang-Hyop & Kim, Jonghyuk, 2004. "Has the Internet changed the wage structure too?," Labour Economics, Elsevier, vol. 11(1), pages 119-127, February.
    22. Chris N. Sakellariou & Harry A. Patrinos, 2004. "Technology, computers and wages: evidence from a developing economy," Brussels Economic Review, ULB -- Universite Libre de Bruxelles, vol. 47(3-4), pages 543-543.
    23. Editorial Article, 0. "The Information for Authors," Economics of Contemporary Russia, Regional Public Organization for Assistance to the Development of Institutions of the Department of Economics of the Russian Academy of Sciences, issue 3.
    24. Editorial Article, 0. "The Information for Authors," Economics of Contemporary Russia, Regional Public Organization for Assistance to the Development of Institutions of the Department of Economics of the Russian Academy of Sciences, issue 2.
    25. Daron Acemoglu, 2002. "Technical Change, Inequality, and the Labor Market," Journal of Economic Literature, American Economic Association, vol. 40(1), pages 7-72, March.
    26. Jacob Mincer, 1958. "Investment in Human Capital and Personal Income Distribution," Journal of Political Economy, University of Chicago Press, vol. 66, pages 281-281.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Bahia, Kalvin & Castells, Pau & Cruz, Genaro & Masaki, Takaaki & Pedrós, Xavier & Pfutze, Tobias & Rodriguez Castelan, Carlos & Winkler, Hernan, 2020. "The Welfare Effects of Mobile Broadband Internet: Evidence from Nigeria," IZA Discussion Papers 13219, Institute of Labor Economics (IZA).
    2. Bahia, Kalvin & Castells, Pau & Cruz, Genaro & Masaki, Takaaki & Rodriguez Castelan, Carlos & Sanfelice, Viviane, 2021. "Mobile Broadband Internet, Poverty and Labor Outcomes in Tanzania," IZA Discussion Papers 14720, Institute of Labor Economics (IZA).
    3. Yanguas, Maria Lucia, 2020. "Technology and educational choices: Evidence from a one-laptop-per-child program," Economics of Education Review, Elsevier, vol. 76(C).
    4. Melia, Elvis, 2019. "The impact of information and communication technologies on jobs in Africa: a literature review," IDOS Discussion Papers 3/2019, German Institute of Development and Sustainability (IDOS).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Kritana Prueksakorn & Cheng-Xu Piao & Hyunchul Ha & Taehyeung Kim, 2015. "Computational and Experimental Investigation for an Optimal Design of Industrial Windows to Allow Natural Ventilation during Wind-Driven Rain," Sustainability, MDPI, vol. 7(8), pages 1-22, August.
    2. Hualin Xie & Jinlang Zou & Hailing Jiang & Ning Zhang & Yongrok Choi, 2014. "Spatiotemporal Pattern and Driving Forces of Arable Land-Use Intensity in China: Toward Sustainable Land Management Using Emergy Analysis," Sustainability, MDPI, vol. 6(6), pages 1-17, May.
    3. Stephan E. Maurer & Andrei V. Potlogea, 2021. "Male‐biased Demand Shocks and Women's Labour Force Participation: Evidence from Large Oil Field Discoveries," Economica, London School of Economics and Political Science, vol. 88(349), pages 167-188, January.
    4. Tie Hua Zhou & Ling Wang & Keun Ho Ryu, 2015. "Supporting Keyword Search for Image Retrieval with Integration of Probabilistic Annotation," Sustainability, MDPI, vol. 7(5), pages 1-18, May.
    5. T. Karski, 2019. "Opinions and Controversies in Problem of The So-Called Idiopathic Scoliosis. Information About Etiology, New Classification and New Therapy," Biomedical Journal of Scientific & Technical Research, Biomedical Research Network+, LLC, vol. 12(5), pages 9612-9616, January.
    6. Sung-Won Park & Sung-Yong Son, 2017. "Cost Analysis for a Hybrid Advanced Metering Infrastructure in Korea," Energies, MDPI, vol. 10(9), pages 1-18, September.
    7. Wesley Mendes-da-Silva, 2020. "What Makes an Article be More Cited?," RAC - Revista de Administração Contemporânea (Journal of Contemporary Administration), ANPAD - Associação Nacional de Pós-Graduação e Pesquisa em Administração, vol. 24(6), pages 507-513.
    8. Martin Valtierra-Rodriguez & Juan Pablo Amezquita-Sanchez & Arturo Garcia-Perez & David Camarena-Martinez, 2019. "Complete Ensemble Empirical Mode Decomposition on FPGA for Condition Monitoring of Broken Bars in Induction Motors," Mathematics, MDPI, vol. 7(9), pages 1-19, August.
    9. Akca Yasar & Gokhan Ozer, 2016. "Determination the Factors that Affect the Use of Enterprise Resource Planning Information System through Technology Acceptance Model," International Journal of Business and Management, Canadian Center of Science and Education, vol. 11(10), pages 1-91, September.
    10. Julián Miranda & Angélica Flórez & Gustavo Ospina & Ciro Gamboa & Carlos Flórez & Miguel Altuve, 2020. "Proposal for a System Model for Offline Seismic Event Detection in Colombia," Future Internet, MDPI, vol. 12(12), pages 1-17, December.
    11. Wisdom Akpalu & Mintewab Bezabih, 2015. "Tenure Insecurity, Climate Variability and Renting out Decisions among Female Small-Holder Farmers in Ethiopia," Sustainability, MDPI, vol. 7(6), pages 1-16, June.
    12. Wei Chen & Shu-Yu Liu & Chih-Han Chen & Yi-Shan Lee, 2011. "Bounded Memory, Inertia, Sampling and Weighting Model for Market Entry Games," Games, MDPI, vol. 2(1), pages 1-13, March.
    13. David Harborth & Sebastian Pape, 2020. "Empirically Investigating Extraneous Influences on the “APCO” Model—Childhood Brand Nostalgia and the Positivity Bias," Future Internet, MDPI, vol. 12(12), pages 1-16, December.
    14. Ping Wang & Jie Wang & Guiwu Wei & Cun Wei, 2019. "Similarity Measures of q-Rung Orthopair Fuzzy Sets Based on Cosine Function and Their Applications," Mathematics, MDPI, vol. 7(4), pages 1-23, April.
    15. Peterson, Willis L., 1973. "Publication Productivities Of U.S. Economics Department Graduates," Staff Papers 14105, University of Minnesota, Department of Applied Economics.
    16. Taeyeoun Roh & Yujin Jeong & Byungun Yoon, 2017. "Developing a Methodology of Structuring and Layering Technological Information in Patent Documents through Natural Language Processing," Sustainability, MDPI, vol. 9(11), pages 1-19, November.
    17. He-Yau Kang & Amy H. I. Lee & Tzu-Ting Huang, 2016. "Project Management for a Wind Turbine Construction by Applying Fuzzy Multiple Objective Linear Programming Models," Energies, MDPI, vol. 9(12), pages 1-15, December.
    18. Vasilyeva, Olga, 2021. "Agro-food clusters in the Republic of Kazakhstan: assessment and prospects of development," Economic Consultant, Roman I. Ostapenko, vol. 34(2), pages 13-20.
    19. Chris Lytridis & Anna Lekova & Christos Bazinas & Michail Manios & Vassilis G. Kaburlasos, 2020. "WINkNN: Windowed Intervals’ Number kNN Classifier for Efficient Time-Series Applications," Mathematics, MDPI, vol. 8(3), pages 1-14, March.
    20. Richard J. Ciotola & Jay F. Martin & Juan M. Castańo & Jiyoung Lee & Frederick Michel, 2013. "Microbial Community Response to Seasonal Temperature Variation in a Small-Scale Anaerobic Digester," Energies, MDPI, vol. 6(10), pages 1-18, October.

    More about this item

    Keywords

    technology; laptop; Uruguay; labor income; difference-in-difference; median income; quantile regression; propensity-score matching;
    All these keywords.

    JEL classification:

    • H41 - Public Economics - - Publicly Provided Goods - - - Public Goods
    • H52 - Public Economics - - National Government Expenditures and Related Policies - - - Government Expenditures and Education
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jecomi:v:5:y:2017:i:3:p:35-:d:112390. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.