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220928 ||| eng |
| 020 |
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|a 9798400217203
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| 100 |
1 |
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|a Akyapi, Berkay
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| 245 |
0 |
0 |
|a Estimating Macro-Fiscal Effects of Climate Shocks From Billions of Geospatial Weather Observations
|c Berkay Akyapi, Matthieu Bellon, Emanuele Massetti
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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 73 pages
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| 651 |
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4 |
|a Equatorial Guinea, Republic of
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| 653 |
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|a Economic & financial crises & disasters
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| 653 |
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|a Economics
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| 653 |
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|a Public debt
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| 653 |
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|a Existence and Stability Conditions of Equilibrium
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| 653 |
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|a Environmental Economics
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| 653 |
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|a Public finance & taxation
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| 653 |
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|a Natural Disasters and Their Management
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| 653 |
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|a Natural Disasters
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| 653 |
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|a Environment
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| 653 |
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|a Large Data Sets: Modeling and Analysis
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| 653 |
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|a Economics: General
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| 653 |
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|a Debt Management
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| 653 |
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|a Climate
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| 653 |
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|a Debts, Public
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| 653 |
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|a Debt
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| 653 |
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|a Climate change
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| 653 |
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|a Informal sector
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| 653 |
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|a National Government Expenditures and Related Policies: General
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| 653 |
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|a Economics of specific sectors
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| 653 |
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|a Sovereign Debt
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| 653 |
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|a Expenditure
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| 653 |
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|a Currency crises
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| 653 |
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|a Global Warming
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| 653 |
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|a Multiple or Simultaneous Equation Models: Models with Panel Data
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| 653 |
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|a Expenditures, Public
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| 653 |
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|a Environment and Growth
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| 653 |
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|a Macroeconomics
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| 653 |
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|a Natural disasters
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| 653 |
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|a Public Finance
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| 653 |
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|a Climatic changes
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| 700 |
1 |
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|a Bellon, Matthieu
|
| 700 |
1 |
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|a Massetti, Emanuele
|
| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
|
| 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
|
| 028 |
5 |
0 |
|a 10.5089/9798400217203.001
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| 856 |
4 |
0 |
|u https://elibrary.imf.org/view/journals/001/2022/156/001.2022.issue-156-en.xml?cid=521474-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 A growing literature estimates the macroeconomic effect of weather using variations in annual country-level averages of temperature and precipitation. However, averages may not reveal the effects of extreme events that occur at a higher time frequency or higher spatial resolution. To address this issue, we rely on global daily weather measurements with a 30-km spatial resolution from 1979 to 2019 and construct 164 weather variables and their lags. We select a parsimonious subset of relevant weather variables using an algorithm based on the Least Absolute Shrinkage and Selection Operator. We also expand the literature by analyzing weather impacts on government revenue, expenditure, and debt, in addition to GDP per capita. We find that an increase in the occurrence of high temperatures and droughts reduce GDP, whereas more frequent mild temperatures have a positive impact. The share of GDP variations that is explained by weather as captured by the handful of our selected variables is much higher than what was previously implied by using annual temperature and precipitation averages. We also find evidence of counter-cyclical fiscal policies that mitigate adverse weather shocks, especially excessive or unusually low precipitation episodes
|