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John Mortimer’s third autobiography (he was very long-lived; after each one he found he went through a lot of unexpected life, hence the trilogy) opens with the reflection that the marker of elderliness is the moment you realise you cannot put on your own socks. I think the Rubicon of middle-age is when the highlight of your Friday is loading the car with the accumulated debris of the cardboard boxes you’ve unpacked in the house and taking them down to the tip (I suspect that would be a ‘municipal garbage dump’ to my American readers). I hit that landmark today and clearing space in the living room and tidying up was a deeper satisfaction than I got from any cocktail bar I went to in my twenties, let me tell you. A hoarder at heart, I used to laugh at Marie Kondo, but I’ve reached that stage of life where I’m no longer thanking my old possessions before throwing them out so much as cackling gleefully as I hurl them into the landfill. ....
The European Central Bank (ECB) is the central bank of the 19 European Union countries which have adopted the euro. Our main task is to maintain price stability in the euro area and so preserve the purchasing power of the single currency. ....
The European Central Bank (ECB) is the central bank of the 19 European Union countries which have adopted the euro. Our main task is to maintain price stability in the euro area and so preserve the purchasing power of the single currency. ....
Using machine learning and big data to analyse the business cycle Prepared by Dominik Hirschbühl, Luca Onorante and Lorena Saiz 1 Introduction Policymakers take decisions in real time based on incomplete information about current economic conditions. Central banks and economic analysts largely rely on official statistics together with soft data and surveys, to assess the state of the economy. Although a wide range of high-quality conventional data is available, the datasets are released with lags ranging from a few days or weeks to several months after the reference period. For these reasons, central banks have been looking at ways to exploit timelier data and employ more sophisticated methods to enhance accuracy when forecasting metrics that are relevant for policymaking. ....