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households fill out basically to report how many of them are unemployed. that survey showed a loss of 400,000 jobs so this is more than 600,000 jobs difference between the two which is a concern and how we collect this data. at the unemployment rate has been taking up now for the last few months and it is now up to 4% which is low, historically, but it is worrying that it is sticking up.— it is worrying that it is sticking up. it is worrying that it is stickin: u. , , sticking up. do you see this worrisome _ sticking up. do you see this worrisome as _ sticking up. do you see this worrisome as well, - sticking up. do you see this worrisome as well, this - worrisome as well, this unemployment figure? firstly i a . ree unemployment figure? firstly i agree that _ unemployment figure? firstly i agree that we _ unemployment figure? firstly i agree that we should _ unemployment figure? firstly i agree that we should use - unemployment figure? firstly i agree that we should use all i agree that we should use all the data _ agree that we should use all the data available and what a lot of— the data available and what a lot of economists do is put a 80%— lot of economists do is put a 80% wheat on the jobs gained that we — 80% wheat on the jobs gained that we see out of that employer survey and a 20% on what _ employer survey and a 20% on what we — employer survey and a 20% on what we see out of that household survey and become up with a _ household survey and become up with a number which we think is closer— with a number which we think is closer to — with a number which we think is closer to the truth. so the job skins — closer to the truth. so the job skins were _ closer to the truth. so the job skins were probably closer to the expectations than that headline number indicates. so what _ headline number indicates. so what we — headline number indicates. so what we see as an economy is

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