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✉️ https://t.co/I4O8mlTIfzhttps://t.co/OGnB3mMG8CRT IIEA @iiea: 7 years on from the #Brexit vote we're continuing to analyse the impact of the UK's withdrawal from the #EU.
Join… https://t.co/cYlxTquavgThe EU is taking charge in regulating data and the digital economy, launching new regulations like the #DMA, #DSA,… https://t.co/jfOuY6kaPNLet's talk about #AI regulations in the #EU!
It is important to understand and enhance the benefits, but also min… https://t.co/OU6PEWlg6j🎧 New global economy podcast episode!
We talk about the US trade policy and America's role in the world economic o… https://t.co/DHHvBdKZ4M
The Kalman Filter is used to estimate a structural time-series model of cotton supply for 30 countries and 16 aggregated regions. Estimated short run supply elasticities with respect to the world price are presented for all 46 countries and regions. While they are broadly within the expected range in light of previous work, they indicate extensive cross-country and regional heterogeneity, as well as considerable parameter uncertainty in some cases. Finally, some proposals are made for incorporating both the core estimates and their sampling distributions into applied equilibrium models.