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Financial Crises: How Can We Help Children and Youth Thrive in Hard Times?

Julia Ross's picture
New technologies offer an opportunity to strengthen economic measurement. Evening luminosity observed from satellites has been shown to be a good proxy for economic activity.
New technologies offer an opportunity to strengthen economic measurement. Evening luminosity observed from satellites has been shown to be a good proxy for economic activity.
Economic growth is a key concern for economists, political leaders, and the broader population.

But how confident are we that the available data on economic activity paints an accurate picture of a country’s performance?

Measuring Gross Domestic Product (GDP), the most standard measure of economic activity, is especially challenging in developing countries, where the informal sector is large and institutional constraints can be severe.

In addition, many countries only provide GDP measures annually and at the national level. Not surprisingly, GDP growth estimates are often met with skepticism.
 
New technologies offer an opportunity to strengthen economic measurement. Evening luminosity observed from satellites has been shown to be a good proxy for economic activity.

As shown in Figure 1, there is a strong correlation between nightlight intensity and GDP levels in South Asia: the higher the nightlight intensity on the horizontal axis, the stronger the economic activity on the vertical axis.
Figure 1 Nightlight intensity increases with economic activity
Figure 1 Nightlight intensity increases with economic activity

However, measuring nightlight is challenging and comes with a few caveats. Clouds, moonlight, and radiance from the sun can affect measurement accuracy, which then requires filtering and standardizing.

On the other hand, nighlight data has a lot advantages like being available in high-frequency and with a very high spatial resolution. In the latest edition of South Asia Economic Focus, we use variations in nightlight intensity to analyze economic trends and illustrate how this data can help predict GDP over time and across space.