2019
DOI: 10.2139/ssrn.3433070
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Technological Change and Its Impact on the Labor Market in Egypt

Abstract: The current study aims at analyzing the impact of technological change and innovations on the labor market in Egypt. Using the panel data of Egyptian Labor Market Panel Survey (ELMPS) 1998, 2006, and 2012 as well as the initial year of ELMPS 1988, a quadratic form of equation for employment is estimated and two approaches were applied. The first one is collaborated by applying the Ordinary Least Square (OLS) estimation method and taking the difference between the rounds of the ELMPS database; three regressions… Show more

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Cited by 4 publications
(4 citation statements)
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“…This condition persists despite central banks' efforts to reverse the trend. This could be due to the issue of firms' asymmetric information, poor rates of financial inclusion, and The Mediterranean countries suffer from poor governance as can be noticed in their rank in the regulatory environment sub-index in table (2). One of the main reasons behind countries poor governance is its past heavy reliance on oil and mineral rents leading to an oversized public sector, where 20% of Algeria's GDP comes from the oil and gas sector.…”
Section: Second: Market Sophisticationmentioning
confidence: 99%
“…This condition persists despite central banks' efforts to reverse the trend. This could be due to the issue of firms' asymmetric information, poor rates of financial inclusion, and The Mediterranean countries suffer from poor governance as can be noticed in their rank in the regulatory environment sub-index in table (2). One of the main reasons behind countries poor governance is its past heavy reliance on oil and mineral rents leading to an oversized public sector, where 20% of Algeria's GDP comes from the oil and gas sector.…”
Section: Second: Market Sophisticationmentioning
confidence: 99%
“…With this in mind, ω it represents the random effects residuals comprised from a random effect of subject i and the general residuals of the model. Random effects panel regression model was selected, first, because it is, together with fixed effects models, often used in similar studies exploring effects of technological change on labour (e.g., see Haapanala, Marx & Parolin, 2022;Badran, 2019). Second, it was selected instead of a fixed effects model because, according to the Hausman (1978) test, we could not reject the null hypothesis (i.e., the p-values were above all standard thresholds) implying that the random effects model is more appropriate for our data.…”
Section: Ratio Of High-to Low-skilled Individualsmentioning
confidence: 99%
“…Social media is influencing employment both as an industry that creates jobs and as a tool that empowers workers (users) to access new forms of work, in new and more flexible ways (Vein, 2013). According to Badran (2019) increased digitalization and automation is leading to new types of jobs and employment, these developments are changing the nature and conditions of work, altering skill requirements, affecting the functions of the labor markets and influencing the international division of labor. Moreover, the ability of countries and enterprises to exploit new digital resources will become a key determinant of their competitiveness.…”
Section: Social Media and Empowermentmentioning
confidence: 99%