"The same hawks who are usually (and rightly) dogmatic about Chinese market distortions are now fiercely advocating… https://t.co/SGZ8FU3RMiIs China closing itself? How are new business restrictions causing friction? What are the secrets for success in Ch… https://t.co/RVXLXdyxUq"In the debate about shortages and trade dependencies, which is legitimate and relevant, international trade has be… https://t.co/VQrq5gY4GK"A lack of regulatory cooperation on #cybersecurity standards and certification requirements may become one of the… https://t.co/sSPomqMQ6s🇪🇺🇨🇳 What can Brussels learn from China’s crackdown on DiDi?
1️⃣ The serious cybersecurity risks
2️⃣ That car data… https://t.co/iKgNo28QVu
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.