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Indian Economy and Nighttime Lights
arXiv - CS - Machine Learning Pub Date : 2021-01-27 , DOI: arxiv-2103.03179
Jeet Agnihotri, Subhankar Mishra

Forecasting economic growth of India has been traditionally an uncertain exercise. The indicators and factors affecting economic structures and the variables required to model that captures the situation correctly is point of concern. Although the forecast should be specific to the country we are looking at however countries do have interlinkages among them. As the time series can be more volatile and sometimes certain variables are unavailable it is harder to predict for the developing economies as compared to stable and developed nations. However it is very important to have accurate forecasts for economic growth for successful policy formations. One of the hypothesized indicators is the nighttime lights. Here we aim to look for a relationship between GDP and Nighttime lights. Specifically we look at the DMSP and VIIRS dataset. We are finding relationship between various measures of economy.

中文翻译:

印度经济和夜间灯光

传统上,预测印度的经济增长一直是不确定的。值得关注的是影响经济结构的指标和因素以及正确捕捉情况所需的模型变量。尽管预测应该针对特定国家/地区,但我们所关注的国家/地区之间确实存在相互联系。由于时间序列的波动性更大,有时某些变量不可用,因此与稳定的国家和发达国家相比,对发展中经济体而言更难预测。但是,对成功的政策形成有准确的经济增长预测非常重要。假设的指标之一是夜间照明灯。在这里,我们旨在寻找GDP与夜间照明灯之间的关系。具体来说,我们看一下DMSP和VIIRS数据集。
更新日期:2021-03-05
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