Forecasting GDP Growth from Outer Space
Bibliographic Data
| ID | 21512907 |
|---|---|
| Authors | Jaqueson K Galimberti (0000-0003-1736-1833, Auckland University of Technology B‐31 Economics, Private mail bag 92006 Auckland 1142 New Zealand, corresponding author) |
| Year | 2020 |
| Volume | 82 |
| Issue | 4 |
| Pages | 697-722 |
| Publication date | 2020-08-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Oxford Bulletin of Economics and Statistics (JOURNAL) |
| Journal identifiers | ISSN: 0305-9049 • E-ISSN: 1468-0084 |
| Publisher | Wiley (PUBLISHER • GB) |
| DOI | 10.1111/obes.12361 |
| OpenAlex | W3125764749 |
| Language | EN |
| Citations received | 6 |
| References cited | 27 |
We evaluate the usefulness of satellite‐based data on night‐time lights for forecasting GDP growth across a global sample of countries, proposing innovative location‐based indicators to extract new predictive information from the lights data. Our findings are generally favourable to the use of night lights data to improve the accuracy of model‐based forecasts. We also find a substantial degree of heterogeneity across countries in the relationship between lights and economic activity: individually estimated models tend to outperform panel specifications. Key factors underlying the night lights performance include the country's size and income level, logistics infrastructure, and the quality of national statistics
Autoregressive model · Econometrics · Economics · Estimation · Geography · Inference · Satellite · Statistical inference · Statistics · Computer Science · Impact of Light on Environment and Health · Mathematics · Artificial Intelligence
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Night-Time Light Data
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Reality Checks and Comparisons of Nested Predictive Models
Mapping regional economic activity from night-time light satellite imagery
Global estimates of market and non-market values derived from nighttime satellite imagery, land cover, and ecosystem service valuation
A sharper image? Estimates of the precision of nighttime lights as a proxy for economic statistics
Taking the Pulse of the Economy
The View from Above
| Unique citing works | 6 |
|---|---|
| Citations per year | 1,2 |
| Citation span | 2021 - 2024 (4) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 6 |