This paper uses nighttime light (NTL) data to measure the nexus of the non-banking sector, particularly insurance, and economic growth in South Africa. We hypothesize that insurance sector growth positively propels economic growth due to its economic growth-supportive traits like investment...

Inequality between ethnic groups has been shown to be negatively related to GDP, but research on its effect on contemporary economic growth is limited by the availability of comparable data. We compile a novel and comprehensive dataset of harmonized Gini indices on ethnic inequality for...

Nighttime lights (NTL) data are widely recognized as a useful proxy for monitoring national, subnational, and supranational economic activity. These data offer advantages over traditional economic indicators such as GDP, including greater spatial granularity, timeliness, lower cost, and...

This paper demonstrates how the estimation of economic activities and inequality for the Indian economy based on nighttime lights data from the Visible Infrared Imaging Radiometer Suite (VIIRS) satellite outperforms those obtained using traditional Defense Meteorological Satellite Program...

We study the impact of the Indian trade liberalization of 1991 on development at the district level using satellite nighttime lights per capita as a proxy for development. We find that on average trade liberalization increased nighttime lights per capita but there was considerable heterogeneity...

Nightlight is used as a proxy for economic activity at the subnational level. Two types of nightlight data are mainly available- Defense Meteorological Satellite Program (DMSP), available from 1992-2013, and Visible Infrared Imaging Radiometer Suite (VIIRS), available from 2012. In this study,...

Excessive nighttime light is known to have detrimental effects on health and on the environment (fauna and flora). The paper investigates the link between nighttime light pollution and economic growth, air pollution, and urban density. We propose a county model of consumption which accounts for...

This paper develops a novel procedure for proxying economic activity with day-time satellite imagery across time periods and spatial units, for which reliable data on economic activity are otherwise not available. In developing this unique proxy, we apply machine-learning techniques to a...

This paper presents a novel framework to estimate the elasticity between nighttime lights and quarterly economic activity. The relationship is identified by accounting for varying degrees of measurement errors in nighttime light data across countries. The estimated elasticity is 1.55 for...

This paper presents a novel framework to estimate the elasticity between nighttime lights and quarterly economic activity, and provides the first set of estimates for the recent VIIRS nighttime light data. The relationship is identified by accounting for varying degrees of measurement errors in...

North Korea is one of the most restrictive countries in terms of data accessibility, especially at the regional level. This research assesses the regional economy in North Korea using the nighttime light data. It estimates GRDP per capita at the county level in 2012-2020, the Kim Jong-Un era,...

To understand how global firm networks operate, we need consistent information on their activities, unbiased by their reporting choices. In this paper, we collect a novel dataset on the light that factories emit at night for a large sample of car manufacturing plants. We show that nightlight...

This paper develops a novel procedure for proxying economic activity with day-time satellite imagery across time periods and spatial units, for which reliable data on economic activity are otherwise not available. In developing this unique proxy, we apply machine-learning techniques to a...

The growing global population has increased the demands for urban housing development not only in the cities but in suburbs and rural areas as well. This gradual but speedy urbanization and globalization have introduced a new kind of "night lifestyle" among people, who engage in various...

This paper presents a novel framework to estimate the elasticity between nighttime lights and quarterly economic activity. The relationship is identified by accounting for varying degrees of measurement errors in nighttime light data across countries. The estimated elasticity is 1.55 for...

This paper presents a novel framework to estimate the elasticity between nighttime lights and quarterly economic activity. The relationship is identified by accounting for varying degrees of measurement errors in nighttime light data across countries. The elasticity is 1.55 for emerging markets...

To understand how global firm networks operate, we need consistent information on their activities, unbiased by their reporting choices. In this paper, we collect a novel dataset on the light that factories emit at night for a large sample of car manufacturing plants. We show that nightlight...

I study the overstatement of GDP growth in autocratic regimes by comparing the self-reported GDP figures to the night time lights (NTL) recorded by satellites from outer space. I show that the NTL elasticity of GDP is systematically larger in more authoritarian regimes. This autocracy gradient...

Policymakers, academics, and market participants have raised many questions in recent years over the accuracy of China’s official economic growth rates, both in terms of levels and volatility. This issue is of considerable importance for policymakers because fluctuations in China’s economic...

The living dead (Trademarks) are among us!Taking advantage of the lack of clear statutory guidance under federal Trademark law, these Zombie Trademarks are feeding on the residual goodwill of and praying on consumer nostalgia. As the Zombie Marks virus is permitted to spread, a paralyzing...

Over the past decade, nighttime lights have become a widely used proxy for measuring economic activity. This paper examines the potential for high frequency nighttime lights data to provide “near real-time” tracking of the economic impacts of the COVID-19 crisis in Morocco. At the national...

We apply deep learning to daytime satellite imagery to predict changes in income and population at high spatial resolution in US data. For grid cells with lateral dimensions of 1.2km and 2.4km (where the average US county has dimension of 55.6km), our model predictions achieve R2 values of 0.85...

Lighting of pedestrian paths fulfils crucial needs for informal settlement dwellers. A common technological approach in some countries to address these needs is to provide high-mast luminaires. In this paper it is shown by computer simulation that those luminaires are not able to create adequate...

I study the manipulation of GDP growth statistics in non-democracies by comparing the self-reported GDP figures to the nighttime lights recorded by satellites from outer space. I show that the night-lights elasticity of GDP is systematically larger in more authoritarian regimes. This autocracy...

This study explores the potential and the limits of medium-resolution satellite data as a proxy for economic activity at small geographic units. Using a commune-level dataset from Vietnam, it compares the performance of commonly used nightlight data and higher resolution Landsat imagery which...

This paper studies the effect of ambient light on crime, taking advantage of the daylight saving time (DST) policy, which imposes exogenous variations in daylight exposure at specific hours of the day. The paper uses a rich administrative database managed by Chile's national police, a...

This study explores the potential and the limits of medium-resolution satellite data as a proxy for economic activity at small geographic units. Using a commune-level dataset from Vietnam, it compares the performance of commonly used nightlight data and higher resolution Landsat imagery which...

Evening-hour luminosity observed using satellites is a good proxy for economic activity. The strengths of measuring economic activity using nightlight measurements include that the data capture informal activity, are available in near real-time, are cheap to obtain, and can be used to conduct...

This paper argues for night--lights data as an alternative data source for measuring spatial inequalities in Africa, where the paucity of subnational income data is persistent. The analysis compares the statistical relationships between income and lights-based measures of spatial income...

In this paper, we analyze the effect of light conditions on road accidents and estimate the long run consequences of different time regimes for road safety. Identification is based on variation in light conditions induced by differences in sunrise and sunset times across space and time. We find...

This is the first study that uses a direct measure of skyglow, an important aspect of light pollution, to examine its impact on infant health at birth. We find evidence of reduced birth weight, shortened gestational length and even preterm births. Specifically, increased nighttime brightness,...