Surface Groups Iceland 1984-2020
This project develops a novel procedure for proxying economic activity with daytime 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 historical...
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2023
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Online Access: | https://doi.org/10.48573/8dzf-rm90 |
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ftcessda:802f415af84c85ae28e04c79cebaff9bc43cf534b3edf5a8e2fc46a98d2fd401 2023-10-25T01:39:49+02:00 Surface Groups Iceland 1984-2020 Lehnert, Patrick Oceania Ozeanien Océanie Asia Asien Asie Americas Amerikas Amériques Africa Afrika Afrique Europe Europa Europe 2023-06-29T00:00:00Z https://doi.org/10.48573/8dzf-rm90 en eng doi:10.48573/8dzf-rm90 2332-1-0 https://doi.org/10.48573/8dzf-rm90 Dataset 2023 ftcessda https://doi.org/10.48573/8dzf-rm90 2023-09-26T23:02:43Z This project develops a novel procedure for proxying economic activity with daytime 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 historical time series of daytime satellite imagery from the Landsat program dating back to 1984. Compared to satellite data on night light intensity, another common economic proxy, our proxy more precisely predicts economic activity at smaller regional levels and over longer time horizons. Our procedure is generalizable to any region in the world, and it has great potential for analyzing historical economic developments, evaluating local policy reforms, and controlling for economic activity at highly disaggregated regional levels in econometric applications. Therefore, we produce our proxy for any region in the world and publish the data as georeferend TIF files in this repository. In our paper, we demonstrate our measure’s usefulness for the example of Germany, where East German data on economic activity are unavailable for detailed regional levels and historical time series. Dataset Iceland CESSDA DC Data Catalogue (Consortium of European Social Science Data Archives) |
institution |
Open Polar |
collection |
CESSDA DC Data Catalogue (Consortium of European Social Science Data Archives) |
op_collection_id |
ftcessda |
language |
English |
description |
This project develops a novel procedure for proxying economic activity with daytime 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 historical time series of daytime satellite imagery from the Landsat program dating back to 1984. Compared to satellite data on night light intensity, another common economic proxy, our proxy more precisely predicts economic activity at smaller regional levels and over longer time horizons. Our procedure is generalizable to any region in the world, and it has great potential for analyzing historical economic developments, evaluating local policy reforms, and controlling for economic activity at highly disaggregated regional levels in econometric applications. Therefore, we produce our proxy for any region in the world and publish the data as georeferend TIF files in this repository. In our paper, we demonstrate our measure’s usefulness for the example of Germany, where East German data on economic activity are unavailable for detailed regional levels and historical time series. |
format |
Dataset |
author |
Lehnert, Patrick |
spellingShingle |
Lehnert, Patrick Surface Groups Iceland 1984-2020 |
author_facet |
Lehnert, Patrick |
author_sort |
Lehnert, Patrick |
title |
Surface Groups Iceland 1984-2020 |
title_short |
Surface Groups Iceland 1984-2020 |
title_full |
Surface Groups Iceland 1984-2020 |
title_fullStr |
Surface Groups Iceland 1984-2020 |
title_full_unstemmed |
Surface Groups Iceland 1984-2020 |
title_sort |
surface groups iceland 1984-2020 |
publishDate |
2023 |
url |
https://doi.org/10.48573/8dzf-rm90 |
op_coverage |
Oceania Ozeanien Océanie Asia Asien Asie Americas Amerikas Amériques Africa Afrika Afrique Europe Europa Europe |
genre |
Iceland |
genre_facet |
Iceland |
op_relation |
doi:10.48573/8dzf-rm90 2332-1-0 https://doi.org/10.48573/8dzf-rm90 |
op_doi |
https://doi.org/10.48573/8dzf-rm90 |
_version_ |
1780735363332964352 |