Exploring the Influence of Multidimensional Variables on Access to Electricity in Rural Areas of the Global South

Published: 30 August 2022| Version 1 | DOI: 10.17632/2d6fcb8tt5.1
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Description

In this paper, the authors aim to understand the influence of different country-level policy indicators with access to electricity in rural areas of the Global South. Below you can find the datasets with all the studied indicators.

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Steps to reproduce

This data was analyzed using R software. We used the packages "car", "glmnet", "dplyr" and "stringi". The methods for this data analysis included a multiple linear regression with penalization using LASSO and Ridge regressions.

Institutions

Cornell University

Categories

Energy Policy, Latin America, Rural Electrification, Global South, Energy Poverty

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