505 Economics: Monthly National GDP Dataset for Germany (quick, frequent and precise)

505 Economics is on a mission to make academic economics accessible. We've developed the first monthly sub-national GDP data for EU and UK regions from January 2015 onwards. Our GDP dataset uses luminosity as a proxy for GDP. The brighter a place, the more economic activity that place tends to have. We produce the data using high-resolution night time satellite imagery and Artificial Intelligence. This builds on our academic research at the London School of Economics, and we're producing the dataset in collaboration with the European Space Agency BIC UK. We have published peer-reviewed academic articles on the usage of luminosity as an accurate proxy for GDP. Key features: - Frequent: Data is provided every month from January 2015. This is more frequent than quarterly official datasets. - Timely: Data is provided with a three week lag (i.e. the data for January 2021 was published at the end of February 2021). This is substantially quicker than the 3-6 month lag of official datasets. - Accurate: Our dataset uses Deep Learning to maximise accuracy (RMSE 1.2%). The dataset can be used by: - Financial services - to get an indication of national-level GDP before official GDP statistics are released - Governments and policy makers - to monitor the performance of economies, to measure the impact of policies, and to get a real-time indication of economic activity. - Engineering companies - to monitor and evaluate the national impact of infrastructure projects - Consultancies - to forecast the national impact of specific projects, to retrospectively monitor and evaluate the localised impact of existing projects - Economics firms - to create macro forecasts at the national, to assess the impact of policy interventions. - Academia / Think Tanks - to conduct novel research with more-frequent GDP data than is available from official sources. E.g. our dataset can be used to measure the impact of localised COVID-19 lockdowns. We have created this dataset for the UK, Switzerland and 28 EU Countries.

搜集汇总

背景与挑战

背景概述

该数据集利用卫星夜光影像和深度学习技术，生成2015年1月起的德国及欧盟地区月度GDP估算数据，具有更新快（滞后3周）、精度高（RMSE1.2%）的特点，适用于金融、政策制定、学术研究等多领域需求。