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220928 ||| eng |
| 020 |
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|a 9798400211553
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| 100 |
1 |
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|a Beyer, Robert
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| 245 |
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|a Measuring Quarterly Economic Growth from Outer Space
|c Robert Beyer, Yingyao Hu, Jiaxiong Yao
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| 260 |
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|a Washington, D.C.
|b International Monetary Fund
|c 2022
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| 300 |
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|a 45 pages
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| 651 |
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4 |
|a China, People's Republic of
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| 653 |
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|a Health
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| 653 |
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|a GDP measurement
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| 653 |
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|a Infectious & contagious diseases
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| 653 |
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|a Dynamic Treatment Effect Models
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| 653 |
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|a National accounts
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| 653 |
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|a National income
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| 653 |
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|a Vector autoregression
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| 653 |
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|a Economics of specific sectors
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| 653 |
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|a Time-Series Models
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| 653 |
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|a Population and demographics
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| 653 |
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|a Currency crises
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| 653 |
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|a Demography
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| 653 |
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|a Population
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| 653 |
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|a Macroeconomics
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| 653 |
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|a Econometrics
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| 653 |
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|a Diseases: Contagious
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| 653 |
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|a Communicable diseases
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| 653 |
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|a Econometrics & economic statistics
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| 653 |
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|a Size and Spatial Distributions of Regional Economic Activity
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| 653 |
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|a Measurement and Data on National Income and Product Accounts and Wealth
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| 653 |
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|a Population & demography
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| 653 |
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|a Economic & financial crises & disasters
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| 653 |
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|a COVID-19
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| 653 |
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|a General Aggregative Models: General
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| 653 |
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|a Econometric analysis
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| 653 |
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|a Demographic Economics: General
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| 653 |
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|a Economics: General
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| 653 |
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|a Diffusion Processes
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| 653 |
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|a Informal sector; Economics
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| 653 |
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|a Health Behavior
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| 653 |
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|a Econometric and Statistical Methods: General
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| 653 |
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|a Dynamic Quantile Regressions
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| 653 |
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|a Environmental Accounts
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| 700 |
1 |
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|a Hu, Yingyao
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| 700 |
1 |
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|a Yao, Jiaxiong
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| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b IMF
|a International Monetary Fund
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| 490 |
0 |
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|a IMF Working Papers
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| 028 |
5 |
0 |
|a 10.5089/9798400211553.001
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| 856 |
4 |
0 |
|u https://elibrary.imf.org/view/journals/001/2022/109/001.2022.issue-109-en.xml?cid=518876-com-dsp-marc
|x Verlag
|3 Volltext
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| 082 |
0 |
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|a 330
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| 520 |
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|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 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
|