|
|
|
|
| LEADER |
02491nmm a2200481 u 4500 |
| 001 |
EB002215196 |
| 003 |
EBX01000000000000001352157 |
| 005 |
00000000000000.0 |
| 007 |
cr||||||||||||||||||||| |
| 008 |
240607 ||| eng |
| 020 |
|
|
|a 9798400271953
|
| 100 |
1 |
|
|a Bogmans, Christian
|
| 245 |
0 |
0 |
|a The Power of Prices: How Fast Do Commodity Markets Adjust to Shocks?
|c Christian Bogmans, Andrea Pescatori, Ivan Petrella, Ervin Prifti, Martin Stuermer
|
| 260 |
|
|
|a Washington, D.C.
|b International Monetary Fund
|c 2024
|
| 300 |
|
|
|a 27 pages
|
| 653 |
|
|
|a Economic & financial crises & disasters
|
| 653 |
|
|
|a Economic Integration
|
| 653 |
|
|
|a Economics
|
| 653 |
|
|
|a Renewable Resources and Conservation: Issues in International Trade
|
| 653 |
|
|
|a Economics: General
|
| 653 |
|
|
|a Trade: Forecasting and Simulation
|
| 653 |
|
|
|a Open Economy Macroeconomics
|
| 653 |
|
|
|a Informal sector
|
| 653 |
|
|
|a Economic Growth of Open Economies
|
| 653 |
|
|
|a Economics of specific sectors
|
| 653 |
|
|
|a Models of Trade with Imperfect Competition and Scale Economies
|
| 653 |
|
|
|a International Policy Coordination and Transmission
|
| 653 |
|
|
|a Currency crises
|
| 653 |
|
|
|a Energy and the Macroeconomy
|
| 653 |
|
|
|a Macroeconomics
|
| 653 |
|
|
|a Empirical Studies of Trade
|
| 653 |
|
|
|a Neoclassical Models of Trade
|
| 653 |
|
|
|a Agriculture in International Trade
|
| 700 |
1 |
|
|a Pescatori, Andrea
|
| 700 |
1 |
|
|a Petrella, Ivan
|
| 700 |
1 |
|
|a Prifti, Ervin
|
| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
|
| 989 |
|
|
|b IMF
|a International Monetary Fund
|
| 490 |
0 |
|
|a IMF Working Papers
|
| 028 |
5 |
0 |
|a 10.5089/9798400271953.001
|
| 856 |
4 |
0 |
|u https://elibrary.imf.org/view/journals/001/2024/077/001.2024.issue-077-en.xml?cid=547625-com-dsp-marc
|x Verlag
|3 Volltext
|
| 082 |
0 |
|
|a 330
|
| 520 |
|
|
|a This paper establishes supply and demand elasticities for a broad set of commodities based on a consistent dataset and identification methodology. We apply granular IV methods to a new cross-country panel dataset of commodity production and consumption from 1960-2021. The results indicate that commodity demand and supply are typically price inelastic. Demand and supply tend to be the most inelastic for minerals, whereas they are most elastic for agricultural commodities. The elasticities of energy commodities fall somewhere in between. Supply and demand become more elastic at longer time horizons for mineral and energy commodities, but not for most agricultural commodities
|