TY - BOOK ID - 135220158 TI - Measuring Quarterly Economic Growth from Outer Space AU - Beyer, Robert. AU - Hu, Yingyao. AU - Yao, Jiaxiong. PY - 2022 SN - 9798400211171 PB - Washington, D.C. : International Monetary Fund, DB - UniCat KW - China, People's Republic of KW - Macroeconomics KW - Economics: General KW - Diseases: Contagious KW - Demography KW - Econometrics KW - Econometric and Statistical Methods: General KW - Measurement and Data on National Income and Product Accounts and Wealth KW - Environmental Accounts KW - Size and Spatial Distributions of Regional Economic Activity KW - Health Behavior KW - General Aggregative Models: General KW - Demographic Economics: General KW - Time-Series Models KW - Dynamic Quantile Regressions KW - Dynamic Treatment Effect Models KW - Diffusion Processes KW - Economic & financial crises & disasters KW - Economics of specific sectors KW - Infectious & contagious diseases KW - Population & demography KW - Econometrics & economic statistics KW - COVID-19 KW - Health KW - National accounts KW - GDP measurement KW - Population and demographics KW - Vector autoregression KW - Econometric analysis KW - Currency crises KW - Informal sector KW - Economics KW - Communicable diseases KW - National income KW - Population KW - Covid-19 KW - Gdp measurement UR - https://www.unicat.be/uniCat?func=search&query=sysid:135220158 AB - 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 emerging markets and developing economies, ranging from 1.36 to 1.81 across country groups and robust to different model specifications. The paper uses a light-adjusted measure of quarterly economic activity to show that higher levels of development, statistical capacity, and voice and accountability are associated with more precise national accounts data. The elasticity allows quantification of subnational economic impacts. During the COVID-19 pandemic, regions with higher levels of development and population density experienced larger declines in economic activity. ER -