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Impact of Internet Access on Household’s Income in the Department of Puno, Peru

Author

Listed:
  • Alfredo Pelayo Calatayud Mendoza

    (Universidad Nacional del Altiplano)

  • Bestsabe Aurora Llerena-Zea

    (Universidad Nacional del Altiplano – Puno)

  • Edgar Villahermosa-Quispe

    (Universidad Nacional del Altiplano – Puno)

  • Patricia Schettini Chialchia

    (Universidad Nacional de La Plata)

  • Ludwing Roald Flores-Quispe

    (Universidad Nacional del Altiplano – Puno)

Abstract

The aim of this article is estimating the impact of mobile internet access on economic income during the COVID-19 pandemic of 2021 in the department of Puno, quasi-experimental methods were applied: Propensity Score Matching (PSM) and reweighting for causal effects: balance of entropy (EE), two sources of information were used: data from the Residential Survey of Telecommunications Services with a sample of 906 observations and primary data, from a survey based on the perception of women dedicated to textile crafts and clothing with a sample of 262 observations. The results with the PSM method show that the economic income of heads of household with access to mobile internet was higher by 45.6 %, in relation to the hypothetical situation in which they have not accessed the internet (p

Suggested Citation

  • Alfredo Pelayo Calatayud Mendoza & Bestsabe Aurora Llerena-Zea & Edgar Villahermosa-Quispe & Patricia Schettini Chialchia & Ludwing Roald Flores-Quispe, 2023. "Impact of Internet Access on Household’s Income in the Department of Puno, Peru," Lecturas de Economía, Universidad de Antioquia, Departamento de Economía, issue 99, pages 175-207, July-Dece.
    • Handle: RePEc:lde:journl:y:2023:i:99:p:175-207
    DOI: 10.17533/udea.le.n99a352419
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    More about this item

    Keywords

    access to internet; impact; Propensity Score Matching; entropy; economic income; households; crafts;
    All these keywords.

    JEL classification:

    • C01 - Mathematical and Quantitative Methods - - General - - - Econometrics
    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
    • D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution

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