El Salvador faces an important opportunity for improving lives and livelihoods. The recent commendable gains in reducing violence and some improvements in the macroeconomic outlook that made the country reach the mark for being classified by the World Bank as an upper-middle-income country signal a new opportunity. Building on the success story of poverty reduction during the past two decades, El Salvador can improve livelihoods, reversing the recent poverty trends that appeared after the pandemic. For this, it is necessary to strengthen the macro and business environment policy framework to attract larger investments that would allow firms to create more and better jobs. Along with this, it is essential to enhance the functioning of the labor markets and enable the poor to access quality jobs. Well-articulated policies to foster rural development and increase agricultural productivity will also be key. Bearing in mind existing fiscal capacity considerations, poverty alleviation also requires setting up fiscal space for scaling up a well-targeted social protection program and enhancing key services for the urban and rural poor, such as housing, water, sanitation, and food security. Beginning now, but with a medium to long term outlook, it is fundamental to continue working to improve education outcomes for all. Moreover, it will be key to focus on skills development along the life cycle, beyond attendance and graduation targets.
Repository name | URI |
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Reproducible Research Repository (World Bank) | https://reproducibility.worldbank.org |
Paper exhibits were reproduced in a computer with the following specifications:
• OS: Windows 10 Enterprise, version 21H2
• Processor: Intel(R) Xeon(R) Gold 6226R CPU @ 2.90GHz, 2900 Mhz, 16 Core(s), 16 Logical Processor(s)
• Memory available: 128 GB
• Software version: Stata 18.0 MP
~15 minutes runtime
To reproduce the results in this paper a new user should do the following.
README
for the list of required datasets. Request access and place them in the correct folders. MASTER
do file and run the code. Figures_Tables_PEA_SLV
. results
folder and compare them with the Excel master file. Some data is restricted and has not been included in the reproducibility package. For more details, please refer to the README file.
Author | Affiliation | |
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Hugo Ñopo Aguilar | World Bank | hnopoaguilar@worldbank.org |
Sofia Hidalgo Berrios | World Bank | shidalgoberrios@worldbank.org |
Gonzalo Aguilar Riva | World Bank | gaguilarriva@worldbank.org |
2025-01
Location | Code |
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El Salvador | SLV |
The materials in the reproducibility packages are distributed as they were prepared by the staff of the International Bank for Reconstruction and Development/the World Bank. The findings, interpretations, and conclusions expressed in this event do not necessarily reflect the views of the World Bank, the Executive Directors of the World Bank, or the governments they represent. The World Bank does not guarantee the accuracy of the materials included in the reproducibility package.
Name | URI |
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Modified BSD3 | https://opensource.org/license/bsd-3-clause/ |
Name | Affiliation | |
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Hugo Ñopo | World Bank | hnopoaguilar@worldbank.org |
Reproducibility WBG | World Bank | reproducibility@worldbank.org |
Name | Abbreviation | Affiliation | Role |
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Reproducibility WBG | DIME | World Bank - Development Impact Department | Verification and preparation of metadata |
2025-01-24
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